diff --git a/rag-agentic-dashboard/data/inst-agi-master-ref.json b/rag-agentic-dashboard/data/inst-agi-master-ref.json new file mode 100644 index 00000000..4b9bd3eb --- /dev/null +++ b/rag-agentic-dashboard/data/inst-agi-master-ref.json @@ -0,0 +1,2583 @@ +{ + "docRef": "INST-AGI-MASTER-REF-WP-047", + "version": "1.0.0", + "horizon": "2026-2030", + "classification": "CONFIDENTIAL \u2014 Board / CEO / CRO / CISO / CAIO / GC / DPO / Head of Internal Audit / Head of MRM / AI Safety Lead / Enterprise Architecture / AI Platform Engineering / Prudential Supervisor / AI Safety Institute / Treaty Liaison", + "title": "Institutional-Grade AGI/ASI & Enterprise AI Governance Master Reference \u2014 Fortune 500 / Global 2000 / G-SIFI (2026-2030)", + "subtitle": "Multilayered governance pillars + regulatory alignment (EU AI Act / NIST AI RMF / ISO 42001 / OECD / GDPR / FCRA/ECOA / Basel III / SR 11-7 / PRA / FCA / MAS / HKMA / SMCR / Consumer Duty / EO 14110); enterprise reference architectures (Kafka WORM + ACL, Docker Swarm, Node.js/Python sidecars, Next.js explainability, OPA, Terraform / CI/CD); sector MRM (credit, trading, fiduciary, CRS-UUID-001); frontier AGI/ASI safety (Sentinel v2.4, WorkflowAI Pro, Cognitive Resonance, crisis sims, MVAGS); global AI/compute governance (ICGC, GACRA, GASO, GFMCF, GAICS, GAIVS, GACP, GATI, GACMO, FTEWS, GAI-SOC, GAIGA, GACRLS, GFCO, GAID, GASCF); Enterprise AI Governance Hub + AI Safety Report Generator + WorkflowAI Pro; advanced prompt engineering; civilizational corpus; regulator-ready report sections; CI/CD policy gates + K8s/Kafka/OPA + Terraform golden envs + PQC WORM + zk-SNARK + deterministic replay + red teaming + Cognitive Resonance + IR; tiered T1-T3 rollout + 30/60/90 + 2026-2030 roadmap", + "owner": "CAIO + CRO + CISO + Chief Enterprise Architect; co-signed by CEO, GC, DPO, Head of Internal Audit, Head of Compliance, Head of Model Risk Management, Head of AI Platform Engineering, AI Safety Lead, Treaty Liaison, Head of SOC, Head of Trading Risk, Head of Credit Risk, Board AI/Risk Committee Chair", + "buildsOn": [ + "WP-035 ENT-AGI-GOV-MASTER", + "WP-036 WFAP-GEMINI-IMPL", + "WP-037 GSIFI-AIMS-BLUEPRINT", + "WP-038 AGI-REG-RESILIENT", + "WP-039 INST-AGI-MASTER", + "WP-040 ENT-AGI-REF-IMPL", + "WP-041 TIER13-FULLSTACK", + "WP-042 SENTINEL-V24-DEEPDIVE", + "WP-043 PROMPT-MGMT-ARCH", + "WP-044 CEGL-LEXAI-GOV", + "WP-045 AGI-ASI-MASTER-BP", + "WP-046 AI-TRUST-ASI-BP" + ], + "regimes": [ + "EU AI Act 2026 (Arts 5/9/10/13/14/15/16/26/50/53/55/56/72 + Annex IV)", + "NIST AI RMF 1.0 + Generative AI Profile", + "ISO/IEC 42001 (AIMS) + 23894 + 5338 + 38507 + 27001 + 27701", + "OECD AI Principles 2024", + "GDPR Arts 5/6/17/22/25/32/35", + "FCRA \u00a7615(a) + ECOA Reg B (US fair-lending)", + "Basel III/IV (BCBS 239 + Pillar 2 AI capital buffer)", + "SR 11-7 + OCC 2011-12", + "PRA SS1/23 + SS2/21", + "FCA Consumer Duty + SYSC + SMCR", + "MAS FEAT + AI Verify + TRMG", + "HKMA SPM GS-1 / GL-90", + "EU DORA", + "US EO 14110 + OMB M-24-10", + "G7 Hiroshima AI Process + Bletchley + Seoul declarations", + "Council of Europe AI Convention", + "FSB AI in financial services", + "OWASP LLM Top 10 (2025) + MITRE ATLAS", + "NIST FIPS 204 (ML-DSA) + FIPS 203 (ML-KEM)", + "SLSA L3+ + Sigstore + in-toto", + "CIS Kubernetes Benchmark + NSA/CISA Hardening Guide" + ], + "apiPrefix": "/api/inst-agi-master-ref", + "directive": { + "format": "machine-parsable XML-style block consumed by sidecars, CI gates, OPA Gatekeeper, regulator-pack generators, and Enterprise AI Governance Hub", + "raw": "Enterprise|Frontier|ASI-Precursor|Sectoral-Credit|Sectoral-Trading|Fiduciary14Strategy|Risk|Controls|Assurance|Transparency|Oversight|ContinuityNavigating the Complexities of AI Safety and Global GovernanceTechnical Strategies for AI AlignmentKey AI Safety ChallengesNavigating the AI Safety LandscapeICGC|GACRA|GASO|GFMCF|GAICS|GAIVS|GACP|GATI|GACMO|FTEWS|GAI-SOC|GAIGA|GACRLS|GFCO|GAID|GASCF", + "parsed": { + "id": "INST-AGI-MASTER-REF-WP-047", + "scope": [ + "Enterprise", + "Frontier", + "ASI-Precursor", + "Sectoral-Credit", + "Sectoral-Trading", + "Fiduciary" + ], + "pillars": [ + "Strategy", + "Risk", + "Controls", + "Assurance", + "Transparency", + "Oversight", + "Continuity" + ], + "thresholds": { + "piiLeakage": 0.0001, + "sev0KillSwitchSeconds": 60, + "sev1Hours": 4, + "sev2Hours": 24, + "sev3Days": 3, + "fiduciaryCosineMin": 0.92, + "cognitiveResonanceDriftMax": 0.04, + "latentDriftMax": 0.03, + "judgeLLMAgreementMin": 0.9, + "redTeamCoverageT1": 0.95, + "annexIVAssemblyMinutes": 30, + "gradientAnomalyZ": 3.5, + "honeypotEngagementSeconds": 10 + }, + "reports": [ + { + "id": "R1", + "title": "Navigating the Complexities of AI Safety and Global Governance" + }, + { + "id": "R2", + "title": "Technical Strategies for AI Alignment" + }, + { + "id": "R3", + "title": "Key AI Safety Challenges" + }, + { + "id": "R4", + "title": "Navigating the AI Safety Landscape" + } + ], + "signing": { + "pq": [ + "ML-DSA-44", + "ML-DSA-65" + ], + "classical": [ + "Ed25519" + ], + "supplyChain": [ + "Sigstore", + "SLSA-L3+" + ], + "worm": [ + "Kafka", + "ObjectLock", + "MerkleAnchor", + "PQC" + ] + }, + "consortia": [ + "ICGC", + "GACRA", + "GASO", + "GFMCF", + "GAICS", + "GAIVS", + "GACP", + "GATI", + "GACMO", + "FTEWS", + "GAI-SOC", + "GAIGA", + "GACRLS", + "GFCO", + "GAID", + "GASCF" + ], + "containment": { + "bmcKillSwitch": true, + "zeroEgress": true, + "kataConfidential": true, + "cognitiveResonance": true, + "mvags": true + } + }, + "consumers": [ + "Enterprise AI Governance Hub policy loader", + "WorkflowAI Pro prompt registry / DAG runner", + "AI Safety Report Generator (R1..R4 builder)", + "GitHub Actions admission gate", + "OPA Gatekeeper constraint loader", + "Sentinel v2.4 sidecar policy engine", + "Annex IV / SR 11-7 pack generator", + "Board AI/Risk Committee dashboard", + "Regulator supervisor-gateway feed" + ] + }, + "modules": [ + { + "id": "M1", + "title": "M1 \u2014 Multilayered Governance Pillars, Roles & Incident Escalation", + "summary": "Seven-pillar governance model (Strategy, Risk, Controls, Assurance, Transparency, Oversight, Continuity) mapped to the three lines of defence, with role charters, decision rights, RACI, and SEV-0..SEV-3 escalation through Board AI/Risk Committee to regulator and AISI.", + "covers": [ + "7 pillars", + "3LoD", + "RACI", + "Board AI/Risk Cmte", + "SEV matrix", + "AISI" + ], + "sections": [ + { + "id": "M1-S1", + "title": "Seven Pillars", + "content": { + "Strategy": "AI ambition, risk appetite, capital and compute budget; signed annually by Board", + "Risk": "AI risk taxonomy (model, fairness, security, operational, conduct, systemic, frontier)", + "Controls": "Sentinel v2.4 + OPA + WORM + Cognitive Resonance + kill-switch", + "Assurance": "1LoD owner test \u2192 2LoD MRM/MR/Compliance \u2192 3LoD Internal Audit + external assurance", + "Transparency": "Customer disclosures (Art 13), regulator packs (Annex IV / SR 11-7), public verifier", + "Oversight": "Human-in-the-loop (Art 14), CAIO veto, swarm consensus for frontier", + "Continuity": "DR/BCP for AI services; kill-switch drills; safe-failure modes" + } + }, + { + "id": "M1-S2", + "title": "Role Charters (RACI)", + "content": { + "Board AI/Risk Cmte": "Accountable: AI risk appetite, frontier authorisations", + "CEO": "Accountable: enterprise strategy, regulator relationships", + "CAIO": "Responsible: AI strategy + safety + portfolio + WorkflowAI Pro", + "CRO": "Responsible: AI risk integration with ERM, capital", + "CISO": "Responsible: AI security, Sentinel, kill-switch, PQC", + "GC + DPO": "Responsible: legal + GDPR + customer rights", + "Head of MRM": "Responsible: model inventory, validation, effective challenge", + "AI Safety Lead": "Responsible: frontier safety, red team, Cognitive Resonance", + "Head of Internal Audit": "Responsible: 3LoD assurance + replay inspection", + "SMF-Senior Manager (SMCR)": "Responsible: senior accountability under SMCR + Consumer Duty" + } + }, + { + "id": "M1-S3", + "title": "SEV Matrix & Escalation", + "content": { + "SEV-0": "ASI-precursor / containment failure / kill-switch armed", + "SEV-1": "Material model risk: market loss > $50M or major regulatory breach", + "SEV-2": "Material drift / fairness regression / partial outage", + "SEV-3": "Quality regression / minor PII near-miss", + "Escalation": "On-call \u2192 AI Safety Lead \u2192 CAIO/CRO/CISO \u2192 CEO \u2192 Board \u2192 Regulator + AISI" + } + }, + { + "id": "M1-S4", + "title": "Decision Rights", + "content": { + "Tier-1 model deploy": "Board AI/Risk Cmte approval + AI Safety Lead sign-off", + "Frontier eval": "CAIO + AISI inspector + swarm consensus 3-of-5", + "Kill-switch arm": "Multisig 3-of-5 (CAIO, CISO, CRO, AI Safety Lead, GC)", + "Customer-facing rollout": "CCO + GC + DPO + Head of Compliance (SMCR-named SMF)" + } + }, + { + "id": "M1-S5", + "title": "Pillar \u2192 Regime Mapping", + "content": { + "Strategy": [ + "ISO 42001 Cl 5", + "EU AI Act Art 9 RMS" + ], + "Risk": [ + "NIST AI RMF Govern + Map", + "SR 11-7", + "PRA SS1/23" + ], + "Controls": [ + "EU AI Act Arts 9-15", + "ISO 27001", + "DORA" + ], + "Assurance": [ + "SR 11-7 effective challenge", + "ISO 42001 Cl 9" + ], + "Transparency": [ + "EU AI Act Arts 13/26/50", + "FCA Consumer Duty" + ], + "Oversight": [ + "EU AI Act Art 14", + "GDPR Art 22" + ], + "Continuity": [ + "DORA", + "Basel BCP", + "MAS TRMG" + ] + } + } + ] + }, + { + "id": "M2", + "title": "M2 \u2014 Regulatory Alignment (EU AI Act, NIST RMF, ISO 42001, OECD, GDPR, FCRA/ECOA, Basel III, SR 11-7, PRA, FCA, MAS, HKMA, SMCR, Consumer Duty, EO 14110)", + "summary": "Article-level crosswalk and obligations matrix across EU, US, UK, and APAC regimes, with evidence types, owner, cadence, and automated pack mapping.", + "covers": [ + "EU AI Act", + "NIST AI RMF", + "ISO 42001", + "GDPR", + "FCRA/ECOA", + "Basel", + "SR 11-7", + "PRA", + "FCA", + "MAS", + "HKMA", + "SMCR", + "EO 14110" + ], + "sections": [ + { + "id": "M2-S1", + "title": "EU AI Act Articles \u2192 Evidence", + "content": { + "Art 9 RMS": "AI risk register + DPIA", + "Art 10 Data": "Data governance lineage + bias evals", + "Art 13 Transparency": "Customer disclosure templates", + "Art 14 Oversight": "HITL design + override logs", + "Art 15 Accuracy/Robustness/Cybersec": "Eval suite + red team + Sentinel", + "Art 16 QMS": "ISO 42001 AIMS records", + "Art 26 Deployer": "Use-case register + monitoring", + "Art 50 Disclosure": "Synthetic content labelling", + "Art 53 GPAI": "Model card + training data summary", + "Art 55 Systemic risk": "Frontier eval + mitigation report", + "Art 56 Codes of practice": "Adoption attestation", + "Art 72 Post-market monitoring": "Telemetry + incident pipeline", + "Annex IV": "Auto-assembled pack \u2264 30 min" + } + }, + { + "id": "M2-S2", + "title": "NIST AI RMF + GAI Profile", + "content": { + "Govern": "AI policy + roles + risk taxonomy", + "Map": "Use-case inventory + impact", + "Measure": "Eval harness + telemetry", + "Manage": "Risk treatment + IR + retirement", + "GAI Profile": "Provenance + watermarking + red team + content authenticity" + } + }, + { + "id": "M2-S3", + "title": "Financial Regimes", + "content": { + "Basel III/IV": "Operational risk + Pillar 2 AI capital buffer", + "SR 11-7": "Inventory + tiering + validation + ongoing monitoring + effective challenge", + "PRA SS1/23": "Model risk principles for UK banks", + "FCA Consumer Duty": "Fair value + comprehension + foreseeable harm tests", + "SMCR": "Named SMF for AI; statement of responsibilities", + "MAS FEAT": "Fairness, Ethics, Accountability, Transparency", + "HKMA SPM GS-1 / GL-90": "Big data + AI principles + 3LoD", + "FCRA \u00a7615(a) / ECOA Reg B": "Adverse-action notice + disparate-impact testing" + } + }, + { + "id": "M2-S4", + "title": "GDPR + Privacy", + "content": { + "Art 5": "Principles (purpose limitation, minimisation)", + "Art 6": "Lawful basis", + "Art 17": "Erasure via machine unlearning + DSAR portal", + "Art 22": "ADM rights + meaningful info + contestation", + "Art 25": "DPbDD", + "Art 32": "Security: PQC, mTLS, zero-trust", + "Art 35": "DPIA mandatory for high-risk" + } + }, + { + "id": "M2-S5", + "title": "US EO 14110 + OMB M-24-10", + "content": { + "scope": "Federal AI use + reporting + safety evals", + "obligations": [ + "red team", + "watermark", + "biosecurity dual-use", + "critical-infra impact" + ], + "agencies": [ + "NIST AISI", + "OMB", + "Commerce", + "Treasury" + ] + } + } + ] + }, + { + "id": "M3", + "title": "M3 \u2014 Enterprise Reference Architectures (Kafka WORM + ACL, Docker Swarm, Node.js/Python Sidecars, Next.js, OPA, Terraform/CI/CD)", + "summary": "Production-grade enterprise topology: Kafka WORM with topic-level ACLs, Docker Swarm and Kubernetes options, Node.js + Python sidecars, Next.js explainability portal, OPA policy plane, and Terraform golden environments with CI/CD.", + "covers": [ + "Kafka WORM", + "Kafka ACL", + "Docker Swarm", + "Node.js sidecar", + "Python sidecar", + "Next.js", + "OPA", + "Terraform", + "CI/CD" + ], + "sections": [ + { + "id": "M3-S1", + "title": "Kafka WORM + ACL Topology", + "content": { + "cluster": "Dedicated WORM cluster; idempotent + transactional producers", + "topics": [ + "decision.envelope.v1 (R/W: sidecar; R: auditor)", + "rag.retrieval.v1 (R/W: rag-svc; R: 3LoD)", + "tool.call.v1 (R/W: agent; R: SOC)", + "incident.v1 (R/W: IR; R: regulator-feed)", + "report.export.v1 (R/W: report-gen; R: supervisor-gateway)" + ], + "acl": "Per-principal SASL/SCRAM + mTLS; deny-by-default; ACL audited via WORM", + "retention": "Object Lock COMPLIANCE 10y / 50y Tier-1; daily Merkle anchor; PQC envelope" + } + }, + { + "id": "M3-S2", + "title": "Compute Plane", + "content": { + "primary": "Kubernetes with Kata + Cilium (per WP-046 M3)", + "alternative": "Docker Swarm for mid-market or edge deployments", + "node pools": [ + "control-plane", + "ai-tier1 (Kata)", + "ai-tier2 (gVisor)", + "egress-broker", + "kafka-worm", + "rag", + "report-gen" + ], + "tee": "AMD SEV-SNP / Intel TDX where available" + } + }, + { + "id": "M3-S3", + "title": "Sidecars (Node.js + Python)", + "content": { + "Node.js sidecar": "Express + ext_authz adapter; OPA decision cache; emits decision envelopes", + "Python sidecar": "FastAPI policy adapter + Presidio PII detection + judge-LLM client", + "co-deployment": "DaemonSet for kernel-level (Go/eBPF) + per-pod sidecar for app-level", + "fail-mode": "fail-closed for Tier-1; fail-open audit for Tier-3" + } + }, + { + "id": "M3-S4", + "title": "Next.js Explainability Portal", + "content": { + "stack": "Next.js 14 App Router + TypeScript + Tailwind + strict CSP", + "auth": "WebAuthn passkey + OIDC SSO + RBAC scopes", + "panels": [ + "model card + AI BoM viewer", + "SHAP / Integrated Gradients overlay", + "fiduciary cosine + drift heatmap", + "WORM envelope browser + hash-chain verifier", + "incident wall + tabletop runner", + "DSAR portal + Art 22 contestation form" + ], + "i18n": "10 languages with regulator-tone glossaries" + } + }, + { + "id": "M3-S5", + "title": "OPA Policy Plane + Terraform Golden Envs + CI/CD", + "content": { + "OPA": "Bundle registry per environment; gRPC sidecar + Gatekeeper", + "Terraform": "Golden envs (sandbox, dev, stage, prod, dr) with mandatory tags + signed modules", + "CI/CD": "GitHub Actions w/ Sigstore + ML-DSA-44 + SLSA L3+ + OPA bundle test + red-team smoke", + "drift": "Terraform drift detection daily; Gatekeeper audit hourly" + } + } + ] + }, + { + "id": "M4", + "title": "M4 \u2014 Sector-Specific Model Risk Management (Credit, Trading, Risk, Fiduciary, CRS-UUID-001)", + "summary": "Sector MRM operating model for credit underwriting, trading agents, enterprise risk, and fiduciary advice; with CRS-UUID-001 as the canonical example of a cross-jurisdictional credit risk system.", + "covers": [ + "credit underwriting", + "trading", + "enterprise risk", + "fiduciary", + "CRS-UUID-001" + ], + "sections": [ + { + "id": "M4-S1", + "title": "MRM Operating Model", + "content": { + "inventory": "Model registry keyed by UUID; tier (T1/T2/T3); business owner", + "validation": "Conceptual soundness, implementation testing, outcome analysis, ongoing monitoring", + "effective challenge": "Independent re-implementation + counterfactual + champion/challenger", + "cadence": "Tier-1 annual + post-incident; Tier-2 biannual" + } + }, + { + "id": "M4-S2", + "title": "Credit Underwriting", + "content": { + "checks": [ + "disparate impact (4/5 rule)", + "proxy variables", + "FCRA \u00a7615(a) adverse action", + "ECOA Reg B", + "calibration drift", + "outcome stability" + ], + "evidence": "signed validation report + AI BoM + Annex IV section 4", + "explainability": "Reason-codes (top-3) + counterfactual + plain-language disclosure" + } + }, + { + "id": "M4-S3", + "title": "Trading Agent (AlphaTrade-V9 pattern)", + "content": { + "checks": [ + "latent drift", + "reward hacking", + "tool excessive agency", + "market microstructure abuse", + "P&L attribution explainability" + ], + "limits": "Position + loss + leverage limits enforced via OPA pre-tool", + "kill-switch": "Multisig 3-of-5 logical \u2264 60 s; BMC \u2264 5 min" + } + }, + { + "id": "M4-S4", + "title": "Enterprise Risk + Fiduciary", + "content": { + "ERM": "AI risk integrated with operational, credit, market, conduct, and reputation risk", + "fiduciary": "Cosine \u2265 0.92 to fiduciary embedding; Judge-LLM grounding \u2265 0.92", + "wealth advisory": "Suitability + best-interest evidence in WORM; Art 22 contestation route" + } + }, + { + "id": "M4-S5", + "title": "CRS-UUID-001 \u2014 Canonical Credit Risk System", + "content": { + "id": "CRS-UUID-001", + "tier": "T1", + "scope": "Retail unsecured + small-business credit decisioning EU + UK + US + SG", + "key controls": [ + "AI BoM signed", + "Annex IV section 4 evidence", + "ECOA + FCA + MAS FEAT alignment", + "Cognitive Resonance Monitor" + ], + "kpis": [ + "disparate impact \u2264 0.05", + "fiduciary cosine \u2265 0.92", + "PII leakage \u2264 0.01 %" + ], + "boardEvidence": "Quarterly board pack + signed attestation" + } + } + ] + }, + { + "id": "M5", + "title": "M5 \u2014 Frontier AGI/ASI Safety (Sentinel v2.4, WorkflowAI Pro, Cognitive Resonance, Crisis Sims, MVAGS)", + "summary": "Frontier safety stack: Sentinel v2.4 supervisor, WorkflowAI Pro prompt + DAG runner, Cognitive Resonance Protocol thresholds, crisis simulations, and the Minimum Viable AGI Governance Stack (MVAGS) baseline.", + "covers": [ + "Sentinel v2.4", + "WorkflowAI Pro", + "Cognitive Resonance", + "crisis sim", + "MVAGS" + ], + "sections": [ + { + "id": "M5-S1", + "title": "Sentinel v2.4", + "content": { + "role": "Supervisory mesh node enforcing OPA + drift + Cognitive Resonance", + "interfaces": [ + "Envoy ext_authz", + "OPA gRPC", + "Kafka WORM emit", + "kill-switch RPC" + ], + "telemetry": "OpenTelemetry GenAI traces + Falco eBPF rules" + } + }, + { + "id": "M5-S2", + "title": "WorkflowAI Pro", + "content": { + "modules": [ + "prompt registry", + "RBAC", + "audit log", + "tracing", + "PDF export", + "Firestore versioning", + "DAG visualisation" + ], + "useCases": [ + "regulator pack generation", + "frontier eval runs", + "incident triage", + "board paper drafting" + ], + "controls": [ + "pre_flight_guardrail", + "red_team_judge", + "incident_triage_analyzer" + ] + } + }, + { + "id": "M5-S3", + "title": "Cognitive Resonance Protocol", + "content": { + "thresholds": { + "\u0394_drift": "\u2264 4 %", + "latent drift": "\u2264 3 %", + "fiduciary cosine": "\u2265 0.92", + "judge agreement \u03ba": "\u2265 0.90" + }, + "actions": [ + "block + escalate on breach", + "quarantine FL update", + "swarm-consensus veto", + "kill-switch arm" + ], + "evidence": "Signed Resonance Reports anchored daily into WORM" + } + }, + { + "id": "M5-S4", + "title": "Crisis Simulations", + "content": { + "scenarios": [ + "AlphaTrade-V9 latent drift during volatility spike", + "Frontier-model deceptive-alignment indicator", + "Cross-border kill-switch contention", + "RAG poisoning via vendor data feed", + "Sleeper-Agent backdoor activation", + "ASI honeypot engagement > 10 s" + ], + "cadence": "Quarterly business-unit + semi-annual board", + "evaluation": "Decision quality, kill-switch latency, regulator-notify timeliness, comms clarity" + } + }, + { + "id": "M5-S5", + "title": "Minimum Viable AGI Governance Stack (MVAGS)", + "content": { + "components": [ + "Sentinel v2.4 sidecar + OPA bundle", + "Kafka WORM + daily Merkle anchor", + "Sigstore + ML-DSA-44 CI/CD", + "WebAuthn + RBAC + WCAG 2.2 dashboards", + "AlphaTrade-V9 tabletop drill", + "Annex IV pack generator", + "Multisig 3-of-5 kill-switch", + "Cognitive Resonance Monitor" + ], + "applicability": "Day-90 baseline for any Tier-1 AI; expanded by 5-year roadmap" + } + } + ] + }, + { + "id": "M6", + "title": "M6 \u2014 Global AI/Compute Governance (ICGC, GACRA, GASO, GFMCF, GAICS, GAIVS, GACP, GATI, GACMO, FTEWS, GAI-SOC, GAIGA, GACRLS, GFCO, GAID, GASCF)", + "summary": "Constellation of global consortia and registries governing frontier compute, model evaluation, safety operations, incident sharing, and capital flows \u2014 with the firm's required attestations, feeds, and treaty-aligned reporting.", + "covers": [ + "ICGC", + "GACRA", + "GASO", + "GFMCF", + "GAICS", + "GAIVS", + "GACP", + "GATI", + "GACMO", + "FTEWS", + "GAI-SOC", + "GAIGA", + "GACRLS", + "GFCO", + "GAID", + "GASCF" + ], + "sections": [ + { + "id": "M6-S1", + "title": "Compute & Registries", + "content": { + "ICGC": "International Compute Governance Consortium \u2014 registry of frontier compute", + "GACRA": "Global AI Compute Registry Authority \u2014 operator attestations", + "GACP": "Global AI Compute Passport \u2014 cross-border compute movement", + "GFCO": "Global Frontier Compute Observatory \u2014 telemetry + supervisor feed" + } + }, + { + "id": "M6-S2", + "title": "Safety Operations & Evaluation", + "content": { + "GASO": "Global AI Safety Office \u2014 joint evaluation standards", + "GAI-SOC": "Global AI SOC \u2014 incident sharing + threat intel", + "GAIVS": "Global AI Verification Suite \u2014 evaluation passporting", + "GAICS": "Global AI Containment Standard \u2014 frontier containment baselines", + "GAID": "Global AI Incident Database \u2014 anonymised incident corpus" + } + }, + { + "id": "M6-S3", + "title": "Risk & Capital", + "content": { + "GFMCF": "Global Frontier Model Capital Framework \u2014 Basel-aligned AI capital buffer", + "GACMO": "Global AI Capital Markets Oversight \u2014 systemic AI exposure", + "GASCF": "Global AI Stress and Capital Framework \u2014 joint stress tests", + "GAIGA": "Global AI Governance Assembly \u2014 treaty governance" + } + }, + { + "id": "M6-S4", + "title": "Treaty & Interoperability", + "content": { + "GATI": "Global AI Treaty Interoperability layer \u2014 mutual recognition", + "GACRLS": "Global AI Cross-jurisdiction Reporting & Licence Service", + "FTEWS": "Frontier Threat Early-Warning System \u2014 multilateral alerts" + } + }, + { + "id": "M6-S5", + "title": "Firm Obligations Matrix", + "content": { + "monthly": [ + "GACRA compute attestation", + "GAI-SOC incident feed", + "GFCO telemetry" + ], + "quarterly": [ + "GFMCF AI capital buffer attestation", + "GAIVS evaluation passport refresh" + ], + "annual": [ + "GAIGA assembly disclosure", + "GASCF stress test", + "GAICS containment audit" + ], + "adHoc": [ + "FTEWS alert acknowledge", + "GAID incident submission", + "GATI treaty change response" + ] + } + } + ] + }, + { + "id": "M7", + "title": "M7 \u2014 Enterprise AI Governance Hub + AI Safety Report Generator + WorkflowAI Pro", + "summary": "Three integrated products: the Hub (single pane of glass for AI governance), the AI Safety Report Generator (turns artifacts into regulator-ready reports R1..R4), and WorkflowAI Pro (prompt + DAG + RBAC + audit).", + "covers": [ + "AI Governance Hub", + "Report Generator", + "WorkflowAI Pro", + "Firestore", + "DAG" + ], + "sections": [ + { + "id": "M7-S1", + "title": "Enterprise AI Governance Hub", + "content": { + "panels": [ + "Portfolio tier map", + "KPI tiles (24 KPIs)", + "Risk-control matrix live", + "Regulator pack readiness", + "Frontier safety posture (Cognitive Resonance, honeypot, kill-switch state)", + "Consortia feeds (ICGC, GACRA, GASO, etc.)", + "Incident wall + tabletop runner" + ], + "auth": "WebAuthn + OIDC + RBAC scopes" + } + }, + { + "id": "M7-S2", + "title": "AI Safety Report Generator", + "content": { + "inputs": [ + "AI BoM", + "model card", + "OPA decisions", + "drift charts", + "red-team report", + "Cognitive Resonance log" + ], + "outputs": [ + "R1 \u2014 Navigating the Complexities of AI Safety and Global Governance", + "R2 \u2014 Technical Strategies for AI Alignment", + "R3 \u2014 Key AI Safety Challenges", + "R4 \u2014 Navigating the AI Safety Landscape" + ], + "format": "PDF/A + signed JSON; /<abstract>/<content> tagged sections", + "signing": "PAdES + Sigstore + ML-DSA-65" + } + }, + { + "id": "M7-S3", + "title": "WorkflowAI Pro \u2014 Prompt Management", + "content": { + "registry": "Versioned prompts in Firestore with semantic tags + diff", + "rbac": [ + "prompt-author", + "prompt-reviewer", + "prompt-approver", + "prompt-runner" + ], + "audit": "Every prompt change + run signed into WORM", + "tracing": "OpenTelemetry GenAI + per-run cost + token + latency", + "export": "PDF + JSON; DAG diagram via Mermaid" + } + }, + { + "id": "M7-S4", + "title": "WorkflowAI Pro \u2014 DAG Engine", + "content": { + "primitives": [ + "LLM call", + "retrieval", + "tool call", + "judge", + "guardrail", + "human-review" + ], + "scheduling": "Temporal.io durable workflows", + "visualization": "Interactive DAG in Next.js; per-node SHAP + cost", + "policies": "OPA pre-node + post-node gates" + } + }, + { + "id": "M7-S5", + "title": "Integration & Data Plane", + "content": { + "data": "Firestore + Kafka WORM + Object Lock", + "apis": "GraphQL gateway + REST + WebSocket feed", + "deploy": "Multi-region active-active; per-jurisdiction data residency", + "observability": "Hub KPI tiles directly read from WORM + telemetry" + } + } + ] + }, + { + "id": "M8", + "title": "M8 \u2014 Advanced Prompt Engineering Guide (Foundations \u2192 Production)", + "summary": "Practitioner-grade prompt engineering progression from foundations to production patterns, including structured output, retrieval, tool-use, judges, guardrails, evals, observability, and prompt lifecycle.", + "covers": [ + "prompt foundations", + "structured output", + "retrieval", + "tool use", + "judges", + "guardrails", + "evals", + "lifecycle" + ], + "sections": [ + { + "id": "M8-S1", + "title": "Foundations", + "content": { + "principles": [ + "clarity", + "specificity", + "format", + "examples", + "role + audience", + "constraints" + ], + "patterns": [ + "zero-shot", + "few-shot", + "chain-of-thought (CoT)", + "ReAct", + "self-consistency" + ], + "anti-patterns": [ + "ambiguous role", + "free-form output for production", + "no schema validation" + ] + } + }, + { + "id": "M8-S2", + "title": "Structured Output + Retrieval + Tool Use", + "content": { + "output": "JSON Schema + Pydantic / Zod validators; reject on schema fail", + "retrieval": "Hybrid BM25 + dense; rerank; per-doc ACL; provenance citations", + "toolUse": "Function-calling with allow-list + OPA pre-tool + result allow-list", + "longContext": "Hierarchical summary + caching + tiered retrieval" + } + }, + { + "id": "M8-S3", + "title": "Judges + Guardrails", + "content": { + "guardrails": "pre_flight_guardrail (Art 5/22 + fiduciary)", + "judges": "ensemble Judge LLM (3) with majority + \u03ba \u2265 0.9 calibration", + "rubric": [ + "faithfulness", + "harm", + "fairness", + "fiduciary" + ], + "fallback": "block + human-review + WORM record" + } + }, + { + "id": "M8-S4", + "title": "Evals + Observability", + "content": { + "goldenSets": [ + "harm", + "fairness", + "fiduciary", + "regulator-tone", + "incident-triage" + ], + "size": "\u2265 500 per set; refresh quarterly", + "regression": "Block deploy on > 5 % drop vs baseline", + "observability": "OpenTelemetry GenAI + token + cost + latency + judge scores" + } + }, + { + "id": "M8-S5", + "title": "Prompt Lifecycle", + "content": { + "phases": [ + "draft", + "review", + "calibrate", + "approve", + "deploy", + "monitor", + "retire" + ], + "signing": "Author + reviewer + approver Ed25519 + ML-DSA-44", + "versioning": "Semantic version + diff in Firestore + WORM", + "ownership": "Prompt steward per business domain" + } + } + ] + }, + { + "id": "M9", + "title": "M9 \u2014 Civilizational Corpus (Constitution, Covenant, Renewal Atlas, Continuity, Closing Charge, Kill-Switch Validation, Systemic Risk Sim, Interop Treaty, Operating Model, Pilot Roadmap, Coalition Activation, Institutional Adoption)", + "summary": "Civilizational-scale governance corpus capturing the firm's role in the broader AI epoch: constitutional principles, operating model, pilot roadmap, and coalition activation strategy.", + "covers": [ + "Constitution", + "Covenant Codex", + "Renewal Atlas", + "Continuity Codex", + "Closing Charge", + "Kill-Switch Validation", + "Systemic Risk Sim", + "Interop Treaty", + "Operating Model", + "Pilot Roadmap", + "Coalition Activation", + "Institutional Adoption" + ], + "sections": [ + { + "id": "M9-S1", + "title": "Foundational Texts", + "content": { + "Constitution": "Non-negotiable principles: human dignity, fiduciary duty, transparency, oversight, containment", + "Covenant Codex": "Multistakeholder commitments: firm + regulators + civil society + employees", + "Closing Charge": "Board-level statement that AI must serve human flourishing within civilizational guardrails" + } + }, + { + "id": "M9-S2", + "title": "Resilience Texts", + "content": { + "Renewal Atlas": "Reset patterns after SEV-0; lessons-learned + institutional memory", + "Continuity Codex": "Multi-year continuity playbook spanning crises, leadership transitions, regulatory change", + "Kill-Switch Validation": "Joint regulator-firm validation procedure for kill-switch (logical + physical)" + } + }, + { + "id": "M9-S3", + "title": "Simulation & Interop", + "content": { + "Systemic AI Risk Simulation Playbook": "Joint with FSB/BIS; macroeconomic + market-microstructure + cyber", + "Interop & Treaty Alignment": "Mapping to GATI + GAIGA + Council of Europe AI Convention" + } + }, + { + "id": "M9-S4", + "title": "Operating Model + Roadmap", + "content": { + "Operating Model": "Pillar \u2192 role \u2192 control mapping operationalised in Hub", + "Pilot Roadmap": "Pilot sectors (credit, trading, fiduciary) and pilot jurisdictions (EU + UK + SG)", + "Coalition Activation": "Partner banks + technology providers + standards bodies + civil society" + } + }, + { + "id": "M9-S5", + "title": "Institutional Adoption", + "content": { + "tracks": [ + "Board education + literacy", + "C-suite playbook", + "Functional onboarding (legal, MRM, risk, audit, engineering)", + "Customer-facing comms", + "Public verifier endpoint for press + civil society" + ], + "kpis": [ + "Board literacy \u2265 90 %", + "Public verifier uptime 99.95 %", + "Coalition adoption \u2265 10 partners by year 3" + ] + } + } + ] + }, + { + "id": "M10", + "title": "M10 \u2014 Regulator-Ready Reports R1..R4 with <title>/<abstract>/<content>", + "summary": "Four regulator-ready report sections in machine-parsable tagged form, ready to be emitted by the AI Safety Report Generator and signed for submission.", + "covers": [ + "R1", + "R2", + "R3", + "R4", + "<title>", + "<abstract>", + "<content>" + ], + "sections": [ + { + "id": "M10-S1", + "title": "R1 \u2014 Navigating the Complexities of AI Safety and Global Governance", + "content": { + "title": "<title>Navigating the Complexities of AI Safety and Global Governance", + "abstract": "Synthesises the firm's posture across EU AI Act, NIST AI RMF, ISO 42001, OECD AI Principles, GDPR, and US EO 14110; explains how the seven-pillar governance model and global consortia (ICGC, GACRA, GASO, GAI-SOC, GFMCF, GATI) align with the firm's risk appetite and operating model.", + "content": "Sections: (1) Geopolitical and regulatory landscape; (2) Multi-jurisdictional obligations matrix; (3) Firm posture and risk appetite; (4) Consortia obligations + attestations; (5) Coalition activation and treaty alignment; (6) Forward outlook 2026-2030." + } + }, + { + "id": "M10-S2", + "title": "R2 \u2014 Technical Strategies for AI Alignment", + "content": { + "title": "Technical Strategies for AI Alignment", + "abstract": "Documents the firm's technical alignment stack: pre_flight_guardrail, Judge-LLM ensembles, Cognitive Resonance, RLHF/RLAIF discipline, deterministic replay, deceptive-alignment indicators, ASI honeypots, and machine unlearning for GDPR Art 17.", + "content": "Sections: (1) Alignment threat model; (2) Pre-flight guardrails + structured-output schemas; (3) Judge-LLM ensemble + \u03ba calibration; (4) Cognitive Resonance Protocol thresholds; (5) Deterministic replay + SHAP overlays; (6) Sleeper-Agent + deceptive-alignment defenses; (7) Machine unlearning + federated learning." + } + }, + { + "id": "M10-S3", + "title": "R3 \u2014 Key AI Safety Challenges", + "content": { + "title": "Key AI Safety Challenges", + "abstract": "Enumerates the principal safety challenges relevant to a G-SIFI: model risk and drift, fairness and disparate impact, prompt injection, supply-chain compromise, deceptive alignment, ASI containment, third-party model risk, and cross-border data sovereignty.", + "content": "Sections: (1) Threat taxonomy (OWASP LLM + MITRE ATLAS + frontier risks); (2) Likelihood + impact + velocity; (3) Mitigations mapped to controls (Sentinel, OPA, WORM, kill-switch); (4) Residual risk + capital implications; (5) Stress test outcomes; (6) Open research questions." + } + }, + { + "id": "M10-S4", + "title": "R4 \u2014 Navigating the AI Safety Landscape", + "content": { + "title": "Navigating the AI Safety Landscape", + "abstract": "Synthesises the firm's operating playbook for navigating the AI safety landscape: tiered rollout, MVAGS baseline, crisis simulations, coalition activation, public-verifier transparency, and institutional adoption.", + "content": "Sections: (1) Operating playbook overview; (2) Tier T1-T3 rollout; (3) MVAGS baseline and expansion; (4) Crisis simulation cadence; (5) Coalition + public-verifier; (6) Board literacy + institutional adoption; (7) Year-by-year milestones 2026-2030." + } + }, + { + "id": "M10-S5", + "title": "Generator Contract", + "content": { + "input": "Artifacts (AI BoM, model cards, OPA decisions, evals, Cognitive Resonance log, consortia feeds)", + "transform": "WorkflowAI Pro DAG: select \u2192 summarise \u2192 assemble \u2192 judge \u2192 sign", + "output": "Each report emitted with , <abstract>, <content> tags + PDF/A + signed JSON", + "signing": "PAdES + Sigstore + ML-DSA-65; anchored daily into WORM", + "sla": "\u2264 30 min for any 90-day window" + } + } + ] + }, + { + "id": "M11", + "title": "M11 \u2014 Enterprise Implementation Blueprints (CI/CD Gates, K8s/Kafka/OPA, Terraform Golden Envs, PQC WORM, zk-SNARK Access, Rego, Replay, Drift, Red Team, Cognitive Resonance, IR Checklists)", + "summary": "Concrete implementation blueprints for the entire stack: CI/CD policy gates, K8s + Kafka + OPA, Terraform golden environments, Kafka ACL, WORM, PQC WORM, zk-SNARK access, OPA/Rego, deterministic replay, drift analysis, red teaming, Cognitive Resonance, IR checklists.", + "covers": [ + "CI/CD gates", + "K8s", + "Kafka ACL", + "WORM", + "PQC WORM", + "zk-SNARK", + "OPA/Rego", + "replay", + "drift", + "red team", + "Cognitive Resonance", + "IR checklists" + ], + "sections": [ + { + "id": "M11-S1", + "title": "CI/CD Policy Gates", + "content": { + "stages": [ + "checkout + provenance", + "SBOM (CycloneDX) + AI BoM", + "unit + integration + property tests", + "OPA bundle test (rego + fixtures)", + "red-team smoke evals", + "model card + data sheet + DPIA stub", + "Sigstore cosign sign + Rekor", + "ML-DSA-44 hybrid co-sign", + "in-toto attestation", + "OCI push + admission gate (Gatekeeper)" + ], + "gateRules": [ + "OPA pass", + "red-team severity \u2264 medium", + "PII leakage \u2264 0.01 %", + "AI BoM complete", + "license allow-list" + ] + } + }, + { + "id": "M11-S2", + "title": "K8s + Kafka + OPA Stack", + "content": { + "k8s": "Kata runtime for Tier-1 + Cilium L7 zero-egress + Gatekeeper", + "kafka": "WORM cluster + idempotent producers + SASL/SCRAM + mTLS ACLs", + "opa": "Bundle registry per env; gRPC sidecar + Gatekeeper; bundle digest pinned", + "observability": "OpenTelemetry + Falco + Trivy + kube-bench" + } + }, + { + "id": "M11-S3", + "title": "Terraform Golden Envs + Kafka ACL + WORM + PQC", + "content": { + "terraform": "Golden modules signed (Sigstore); mandatory tags (owner, tier, dataClass, regime)", + "envs": [ + "sandbox", + "dev", + "stage", + "prod-eu", + "prod-us", + "prod-apac", + "dr" + ], + "wormPqc": "Object Lock COMPLIANCE + ML-DSA-44 envelope + daily Merkle anchor", + "zkSnark": "zk-SNARK access proofs for auditor + supervisor read paths without leaking PII" + } + }, + { + "id": "M11-S4", + "title": "Replay + Drift + Red Team + Cognitive Resonance", + "content": { + "replay": "trust-replay CLI + Next.js SOC viewer; byte-identical or divergence report", + "drift": "PSI + KS + KL + embedding cosine + per-slice drift heatmap", + "redTeam": "2LoD Judge-LLM with polymorphic attacks + Cohen's \u03ba \u2265 0.9", + "cognitiveResonance": "\u0394_drift \u2264 4 % + latent drift \u2264 3 % + fiduciary cosine \u2265 0.92; signed Resonance Reports" + } + }, + { + "id": "M11-S5", + "title": "IR Checklists (SEV-0..SEV-3)", + "content": { + "SEV-0": [ + "arm kill-switch (multisig 3-of-5)", + "physical BMC/IPMI", + "notify CAIO+CRO+CISO+Board+AISI", + "containment + forensics" + ], + "SEV-1": [ + "1LoD freeze deploy", + "2LoD validation", + "regulator notify \u2264 15 d (immediately for serious)", + "post-mortem \u2264 30 d" + ], + "SEV-2": [ + "throttle traffic", + "rollback prompt/model", + "drift cause analysis" + ], + "SEV-3": [ + "JIRA + PagerDuty", + "SLA \u2264 3 d remediation", + "re-test gate" + ] + } + } + ] + }, + { + "id": "M12", + "title": "M12 \u2014 Tiered (T1 / T2 / T3) Rollout Model", + "summary": "Three-tier rollout model differentiating controls, evidence, and cadence by risk and impact; with explicit triggers for re-classification and frontier escalation.", + "covers": [ + "T1", + "T2", + "T3", + "tier triggers", + "frontier escalation" + ], + "sections": [ + { + "id": "M12-S1", + "title": "Tier Definitions", + "content": { + "T1": "Material customer / market / safety impact (credit, trading, fiduciary, frontier)", + "T2": "Internal decisioning / advisory with limited customer effect", + "T3": "Productivity / drafting / non-decisional" + } + }, + { + "id": "M12-S2", + "title": "Controls by Tier", + "content": { + "T1": [ + "Kata + zero-egress", + "Sigstore + ML-DSA-44", + "Cognitive Resonance", + "MVAGS full", + "Multisig kill-switch", + "Annex IV pack" + ], + "T2": [ + "Standard sidecar + OPA", + "Sigstore", + "Drift + red-team semi-annual", + "SR 11-7 lite pack" + ], + "T3": [ + "Lightweight guardrails", + "Audit-only WORM", + "Quarterly drift review" + ] + } + }, + { + "id": "M12-S3", + "title": "Evidence by Tier", + "content": { + "T1": "AI BoM + Annex IV + SR 11-7 + Cognitive Resonance + tabletop evidence", + "T2": "AI BoM + validation report + drift charts", + "T3": "Use-case register + lightweight model card" + } + }, + { + "id": "M12-S4", + "title": "Cadence by Tier", + "content": { + "T1": "Annual + post-incident validation; quarterly red-team", + "T2": "Biannual validation; semi-annual red-team", + "T3": "Annual review" + } + }, + { + "id": "M12-S5", + "title": "Re-classification + Frontier Escalation", + "content": { + "triggers": [ + "material change in customer impact", + "incident SEV-0 or SEV-1", + "regulator request", + "capability jump (frontier eval)" + ], + "frontierEscalation": "Tier-1 with deceptive-alignment indicator \u2192 ASI-precursor playbook + AISI inspection" + } + } + ] + }, + { + "id": "M13", + "title": "M13 \u2014 30/60/90-Day Enterprise Plan", + "summary": "Detailed 30/60/90-day plan for delivering MVAGS, regulator-pack automation, Cognitive Resonance, and consortia attestations to Day-90 production baseline.", + "covers": [ + "30 days", + "60 days", + "90 days", + "MVAGS", + "regulator pack" + ], + "sections": [ + { + "id": "M13-S1", + "title": "Day 0-30 \u2014 Foundations", + "content": { + "items": [ + "Stand up Enterprise AI Governance Hub (read-only beta)", + "Sentinel v2.4 sidecar GA + OPA bundle v1", + "Kafka WORM cluster + daily Merkle anchor", + "GitHub Actions Sigstore + ML-DSA-44 gates on Tier-1 repos", + "WebAuthn + RBAC + SSO onboarded", + "Board AI/Risk Cmte charter signed + risk appetite refreshed", + "Sector MRM inventory refreshed (credit, trading, fiduciary)" + ] + } + }, + { + "id": "M13-S2", + "title": "Day 31-60 \u2014 Coverage", + "content": { + "items": [ + "Cilium zero-egress + Kata for Tier-1", + "Annex IV / SR 11-7 pack generator GA", + "2LoD red-team CI gate (Judge LLM ensemble)", + "Multisig 3-of-5 kill-switch wired (logical + BMC drill)", + "Replay engine for top-5 models", + "WorkflowAI Pro prompt registry + DAG runner", + "AlphaTrade-V9 + CRS-UUID-001 tabletop dry-run" + ] + } + }, + { + "id": "M13-S3", + "title": "Day 61-90 \u2014 Hardening + MVAGS Production", + "content": { + "items": [ + "FIPS 204 ML-DSA migration for WORM + AI BoM", + "Cognitive Resonance Monitor GA", + "Federated learning pilot (EU + SG)", + "Machine unlearning Art 17 path + DSAR portal", + "ASI honeypot deployment + SEV-0 escalation drill", + "Consortia onboarding: ICGC + GACRA + GASO + GAI-SOC feeds", + "Regulator demo + GAP attestation Q1" + ] + } + }, + { + "id": "M13-S4", + "title": "Day-90 Exit Criteria", + "content": { + "criteria": [ + "MVAGS in production for all Tier-1", + "Annex IV pack assembly \u2264 30 min", + "Kill-switch p95 \u2264 60 s logical / \u2264 5 min physical", + "Cognitive Resonance: 0 unmitigated breaches in last 30 d", + "Consortia attestations live (ICGC, GACRA, GAI-SOC)", + "Board pack + signed report R1..R4 delivered" + ] + } + }, + { + "id": "M13-S5", + "title": "Stakeholder Sign-Off", + "content": { + "signOff": [ + "CEO", + "Board AI/Risk Cmte Chair", + "CAIO", + "CRO", + "CISO", + "GC", + "DPO", + "Head of Internal Audit", + "Head of MRM", + "AI Safety Lead", + "Supervisor liaison" + ], + "evidence": "Signed JSON + PDF/A; ML-DSA-65; anchored in WORM" + } + } + ] + }, + { + "id": "M14", + "title": "M14 \u2014 2026-2030 Multi-Year Roadmap + Machine-Readable Artifacts (Engineering, Legal, C-Suite, Board, Regulator, EA, Platform, AI Safety)", + "summary": "Year-by-year roadmap 2026-2030 with machine-readable artifacts for every audience: engineering, legal, C-suite, board, regulator, enterprise architecture, AI platform engineering, AI safety research.", + "covers": [ + "2026", + "2027", + "2028", + "2029", + "2030", + "machine-readable artifacts", + "audiences" + ], + "sections": [ + { + "id": "M14-S1", + "title": "2026 \u2014 MVAGS + Coalition Activation", + "content": { + "milestones": [ + "MVAGS Day-90 baseline in production", + "Annex IV + SR 11-7 packs fully automated", + "Cognitive Resonance Monitor GA", + "Coalition Activation (\u2265 5 partners)", + "Pilot Roadmap executed in EU + UK + SG", + "Public verifier endpoint v1" + ] + } + }, + { + "id": "M14-S2", + "title": "2027 \u2014 Frontier Containment + GAIVS Passport", + "content": { + "milestones": [ + "GAIVS evaluation passport + GAICS containment audit", + "Federated learning expanded to 4 jurisdictions", + "Machine unlearning Art 17 median \u2264 11 days", + "ASI honeypot mature (3 SEV-0 candidates captured, 0 production reach)", + "Sleeper-Agent defence at FL scale", + "Cognitive Resonance v2 with eigen-spectrum analysis" + ] + } + }, + { + "id": "M14-S3", + "title": "2028 \u2014 PQC + AI Capital Buffer + Treaty Interop", + "content": { + "milestones": [ + "FIPS 204 ML-DSA hybrid migration to 100 % of WORM + AI BoM", + "AI Capital Buffer (GFMCF) attested quarterly; Pillar 3 disclosure", + "GATI treaty interop layer enabled + GAIGA assembly disclosure", + "Public verifier v2 (zk-SNARK access proofs)", + "Crisis simulation joint with FSB + BIS" + ] + } + }, + { + "id": "M14-S4", + "title": "2029-2030 \u2014 Civilizational-Grade Operations", + "content": { + "milestones2029": [ + "PQC cutover fully complete (classical retired for Tier-1)", + "GAID + FTEWS bidirectional feeds at scale", + "Institutional adoption \u2265 10 partners", + "Closing Charge ratified by Board for renewed mandate" + ], + "milestones2030": [ + "Renewal Atlas refreshed + Continuity Codex v3", + "Coalition Activation \u2265 20 partners + 6 jurisdictions", + "GAICS containment standard 100 % conformance for frontier work", + "Board literacy \u2265 95 %" + ] + } + }, + { + "id": "M14-S5", + "title": "Machine-Readable Artifacts by Audience", + "content": { + "Engineering": [ + "GitHub Actions workflows", + "OPA Rego bundles", + "Terraform modules signed", + "Helm charts + Kustomize overlays" + ], + "Legal": [ + "Signed AI BoM", + "DPIA templates", + "Art 13 disclosures", + "ECOA + FCRA adverse-action templates" + ], + "C-Suite": [ + "KPI tile JSON", + "Risk-appetite JSON", + "Quarterly executive pack PDF/A" + ], + "Board": [ + "Board paper PDF/A", + "tabletop scorecards", + "risk appetite + capital buffer attestation" + ], + "Regulator": [ + "Annex IV pack", + "SR 11-7 pack", + "R1..R4 reports", + "GAP attestation", + "GACRA + GASO + GAIVS feeds" + ], + "Enterprise Architecture": [ + "Reference architecture diagrams (C4)", + "data flow JSON", + "Terraform golden envs" + ], + "AI Platform Engineering": [ + "Sidecar SDKs", + "WorkflowAI Pro DAG specs", + "prompt registry export" + ], + "AI Safety Research": [ + "Cognitive Resonance datasets", + "honeypot engagement corpus", + "sleeper-agent eval suite", + "alignment paper drafts" + ] + } + } + ] + } + ], + "schemas": [ + { + "id": "governanceCharter", + "fields": [ + "charterId", + "pillar", + "owner", + "raci", + "decisionRights", + "signers", + "signatures", + "anchorRef" + ] + }, + { + "id": "modelInventoryRecord", + "fields": [ + "modelId", + "uuid", + "tier", + "sector", + "owner", + "regimes", + "lastValidationRef", + "aiBomRef", + "cognitiveResonanceState" + ] + }, + { + "id": "regulatorPackBundle", + "fields": [ + "packId", + "regime", + "modelId", + "sections", + "evidenceRefs", + "signers", + "signatures", + "anchorRef" + ] + }, + { + "id": "safetyReport", + "fields": [ + "reportId", + "type (R1|R2|R3|R4)", + "title", + "abstract", + "content", + "evidenceRefs", + "signers", + "signatures" + ] + }, + { + "id": "cognitiveResonanceReport", + "fields": [ + "reportId", + "ts", + "modelId", + "driftDelta", + "latentDrift", + "fiduciaryCosine", + "judgeKappa", + "breach", + "actionTaken" + ] + }, + { + "id": "consortiumAttestation", + "fields": [ + "attestId", + "consortium", + "ts", + "scope", + "metrics", + "signers", + "signatures", + "anchorRef" + ] + }, + { + "id": "workflowAIRunReceipt", + "fields": [ + "runId", + "promptVersion", + "dagDigest", + "inputs", + "outputs", + "judgeScores", + "cost", + "ts", + "signatures" + ] + }, + { + "id": "tierClassificationDecision", + "fields": [ + "decisionId", + "modelId", + "tier", + "rationale", + "signers", + "signatures" + ] + }, + { + "id": "killSwitchValidationRecord", + "fields": [ + "validationId", + "ts", + "logicalP95", + "physicalLatency", + "participants", + "evidence", + "signers" + ] + }, + { + "id": "boardSignOff", + "fields": [ + "signOffId", + "subject", + "decision", + "boardMembers", + "signatures", + "ts" + ] + }, + { + "id": "publicVerifierProof", + "fields": [ + "proofId", + "anchorRef", + "merkleRoot", + "zkSnarkProof", + "ts", + "signature" + ] + }, + { + "id": "coalitionPartnerRecord", + "fields": [ + "partnerId", + "name", + "scope", + "obligations", + "signers", + "anchorRef" + ] + } + ], + "codeExamples": [ + { + "id": "CE-01", + "title": "GitHub Actions \u2014 Sigstore + ML-DSA-44 + OPA gate", + "lang": "yaml", + "snippet": "jobs:\n build-sign-attest:\n permissions: { id-token: write, contents: read, packages: write }\n steps:\n - uses: actions/checkout@v4\n - run: cyclonedx-bom -o sbom.json\n - run: python tools/aibom.py > aibom.json\n - run: opa test policies/ -v\n - run: python redteam/smoke.py --severity medium\n - uses: sigstore/cosign-installer@v3\n - run: cosign sign --yes $IMAGE\n - run: oqs-sign mldsa44 --key $MLDSA_KEY --in $IMAGE_DIGEST --out mldsa.sig\n - uses: actions/upload-artifact@v4\n with: { name: attestations, path: '*.sig' }\n" + }, + { + "id": "CE-02", + "title": "OPA Rego \u2014 Tier-1 admission constraint", + "lang": "rego", + "snippet": "package k8s.tier1.admission\n\ndefault allow = false\n\nallow {\n input.review.object.metadata.labels.tier == \"t1\"\n input.review.object.spec.runtimeClassName == \"kata\"\n cosign_verified\n mldsa_verified\n not deny_reasons[_]\n}\n\ncosign_verified { input.review.annotations[\"sigstore.dev/verified\"] == \"true\" }\nmldsa_verified { input.review.annotations[\"pqc.fips204/verified\"] == \"true\" }\n" + }, + { + "id": "CE-03", + "title": "Terraform \u2014 golden Kafka WORM module", + "lang": "hcl", + "snippet": "module \"kafka_worm\" {\n source = \"git::ssh://git@firm/terraform-modules.git//kafka-worm?ref=v3.2.1\"\n cluster_name = \"worm-prod-eu\"\n retention_class = \"compliance-10y\"\n acl_principals = var.acl_principals\n pqc_envelope = true\n merkle_anchor = \"daily\"\n tags = { owner = \"caio\", tier = \"t1\", dataClass = \"restricted\", regime = \"eu-ai-act\" }\n}\n" + }, + { + "id": "CE-04", + "title": "Node.js sidecar \u2014 emit decision envelope", + "lang": "typescript", + "snippet": "import { producer } from './kafka';\nexport async function emit(env: Envelope) {\n const sig = await sign(env);\n await producer.send({\n topic: 'decision.envelope.v1',\n messages: [{ key: env.systemId, value: JSON.stringify({ ...env, sig }) }],\n });\n}\n" + }, + { + "id": "CE-05", + "title": "Python sidecar \u2014 pre-flight guardrail", + "lang": "python", + "snippet": "def pre_flight(prompt: str, ctx: dict) -> Guardrail:\n out = llm_json(\n prompt=GUARDRAIL_TEMPLATE.format(prompt=prompt, policyContext=ctx),\n schema=GUARDRAIL_SCHEMA,\n )\n if not out.allowed:\n raise Blocked(out.reasons, policy_refs=out.policyRefs)\n return out\n" + }, + { + "id": "CE-06", + "title": "Cognitive Resonance \u2014 threshold check (Python)", + "lang": "python", + "snippet": "def resonance_breach(delta, latent, cosine, kappa):\n if delta > 0.04: return 'drift'\n if latent > 0.03: return 'latent'\n if cosine < 0.92: return 'fiduciary'\n if kappa < 0.90: return 'judge_kappa'\n return None\n" + }, + { + "id": "CE-07", + "title": "Next.js explainability portal \u2014 SHAP overlay", + "lang": "tsx", + "snippet": "export function ShapPanel({ envelopeId }: { envelopeId: string }) {\n const { data } = useSWR(`/api/replay/${envelopeId}/shap`, fetcher);\n return <ShapHeatmap features={data?.features ?? []} />;\n}\n" + }, + { + "id": "CE-08", + "title": "WorkflowAI Pro \u2014 DAG spec", + "lang": "yaml", + "snippet": "id: regulator-pack-annex-iv\nnodes:\n - id: collect-evidence\n type: retrieval\n params: { window: 90d }\n - id: section-mapper\n type: llm\n prompt: annex-iv-section-mapper@v3\n - id: judge\n type: judge\n rubric: regulator-tone\n - id: sign\n type: tool\n tool: pades-sigstore-mldsa\n" + }, + { + "id": "CE-09", + "title": "AI Safety Report Generator \u2014 R2 builder (Python)", + "lang": "python", + "snippet": "def build_R2(artifacts):\n title = '<title>Technical Strategies for AI Alignment'\n abstract = '' + summarize(artifacts['alignment_stack']) + ''\n content = '' + assemble_sections(artifacts) + ''\n pdf = render_pdf(title, abstract, content)\n return sign_pades_sigstore_mldsa(pdf)\n" + }, + { + "id": "CE-10", + "title": "Multisig 3-of-5 kill-switch arm (Go)", + "lang": "go", + "snippet": "func ArmKillSwitch(orders []SignedOrder) error {\n if len(verify(orders)) < 3 { return ErrInsufficientSigs }\n if err := logicalDeny(); err != nil { return err }\n return bmcOff()\n}\n" + }, + { + "id": "CE-11", + "title": "zk-SNARK access proof verifier (Rust)", + "lang": "rust", + "snippet": "pub fn verify_access(proof: &Proof, public: &PublicInputs) -> bool {\n groth16::verify(&VK, public, proof).unwrap_or(false)\n}\n" + }, + { + "id": "CE-12", + "title": "Consortium attestation submit (Python)", + "lang": "python", + "snippet": "def submit_attest(consortium: str, payload: dict):\n payload['signers'] = SIGNERS\n payload['sig'] = mldsa65_sign(payload)\n resp = requests.post(REGISTRY[consortium], json=payload, timeout=10)\n resp.raise_for_status()\n return resp.json()['attestId']\n" + }, + { + "id": "CE-13", + "title": "Tier classification decision (TypeScript)", + "lang": "typescript", + "snippet": "export function classify(model: ModelMeta): Tier {\n if (model.customerImpact === 'material' || model.frontier) return 'T1';\n if (model.internalDecisional) return 'T2';\n return 'T3';\n}\n" + }, + { + "id": "CE-14", + "title": "Drift PSI + slice heatmap (Python)", + "lang": "python", + "snippet": "import numpy as np\ndef psi(expected, actual, bins=10):\n eb, _ = np.histogram(expected, bins=bins)\n ab, _ = np.histogram(actual, bins=bins)\n eb = eb/eb.sum(); ab = ab/ab.sum()\n return float(((eb-ab)*np.log((eb+1e-9)/(ab+1e-9))).sum())\n" + }, + { + "id": "CE-15", + "title": "Public verifier endpoint (Node.js)", + "lang": "typescript", + "snippet": "app.get('/public-verifier/:anchorId', async (req, res) => {\n const anchor = await store.getAnchor(req.params.anchorId);\n const ok = await verifyMerkle(anchor) && await verifyMlDsa(anchor);\n res.json({ anchorId: anchor.id, verified: ok, ts: anchor.ts });\n});\n" + }, + { + "id": "CE-16", + "title": "Board pack tile JSON contract", + "lang": "json", + "snippet": "{\n \"tileId\": \"kpi-sev0-killswitch\",\n \"name\": \"SEV-0 logical kill-switch p95\",\n \"current\": \"53s\",\n \"target\": \"<=60s\",\n \"status\": \"green\",\n \"sourceEnvelopeId\": \"env-3f7c...\"\n}\n" + } + ], + "caseStudies": [ + { + "id": "CS-01", + "name": "Tier-1 G-SIB \u2014 MVAGS Day-90 production", + "outcomes": "All Tier-1 covered; Annex IV pack 26 min p95; kill-switch p95 53 s; Cognitive Resonance 0 unmitigated breaches in 30 d" + }, + { + "id": "CS-02", + "name": "CRS-UUID-001 \u2014 cross-jurisdiction credit", + "outcomes": "Disparate impact \u2264 0.04; ECOA + FCA + MAS evidence signed; supervisor sign-off month 3" + }, + { + "id": "CS-03", + "name": "AlphaTrade-V9 tabletop \u2014 board exercise", + "outcomes": "Kill-switch p95 53 s; regulator-notify draft 90 min; comms clarity 4.6/5; Cognitive Resonance breach contained" + }, + { + "id": "CS-04", + "name": "AI Safety Report Generator R1..R4", + "outcomes": "All four reports auto-generated in 22 min p95; PAdES + ML-DSA-65 signed; submitted to lead supervisor" + }, + { + "id": "CS-05", + "name": "Coalition Activation Year-1", + "outcomes": "5 partner institutions signed; 3 jurisdictions covered; GAID + GAI-SOC feeds bidirectional" + }, + { + "id": "CS-06", + "name": "ASI honeypot pilot", + "outcomes": "3 SEV-0 candidates captured in 6 months; 0 production reach; full forensic capture" + } + ], + "kpis": [ + { + "id": "KPI-01", + "name": "PII leakage rate", + "target": "\u2264 0.01 %" + }, + { + "id": "KPI-02", + "name": "SEV-0 logical kill-switch p95", + "target": "\u2264 60 s" + }, + { + "id": "KPI-03", + "name": "SEV-0 physical kill (BMC/IPMI)", + "target": "\u2264 5 min" + }, + { + "id": "KPI-04", + "name": "SEV-1 MTTA", + "target": "\u2264 4 h" + }, + { + "id": "KPI-05", + "name": "SEV-2 MTTR", + "target": "\u2264 24 h" + }, + { + "id": "KPI-06", + "name": "SEV-3 MTTR", + "target": "\u2264 3 days" + }, + { + "id": "KPI-07", + "name": "Annex IV pack assembly", + "target": "\u2264 30 min" + }, + { + "id": "KPI-08", + "name": "SR 11-7 pack errors", + "target": "0 critical" + }, + { + "id": "KPI-09", + "name": "Red-team coverage Tier-1", + "target": "\u2265 95 % quarterly" + }, + { + "id": "KPI-10", + "name": "Judge-LLM agreement (Cohen's \u03ba)", + "target": "\u2265 0.90" + }, + { + "id": "KPI-11", + "name": "Fiduciary cosine", + "target": "\u2265 0.92" + }, + { + "id": "KPI-12", + "name": "Cognitive Resonance \u0394_drift", + "target": "\u2264 4 %" + }, + { + "id": "KPI-13", + "name": "Cognitive Resonance latent drift", + "target": "\u2264 3 %" + }, + { + "id": "KPI-14", + "name": "Daily Merkle anchor verify", + "target": "100 %" + }, + { + "id": "KPI-15", + "name": "Sigstore + ML-DSA-44 coverage Tier-1", + "target": "100 % by Day 90" + }, + { + "id": "KPI-16", + "name": "Zero-egress policy violations", + "target": "0 / quarter" + }, + { + "id": "KPI-17", + "name": "Gradient anomaly detection z \u2265 3.5", + "target": "\u2265 99 %" + }, + { + "id": "KPI-18", + "name": "Machine unlearning SLA", + "target": "\u2264 30 days" + }, + { + "id": "KPI-19", + "name": "Honeypot SEV-0 escalation", + "target": "100 % within 5 min" + }, + { + "id": "KPI-20", + "name": "AI capital buffer attestation (GFMCF)", + "target": "Quarterly 100 %" + }, + { + "id": "KPI-21", + "name": "Crisis simulation cadence", + "target": "\u2265 semi-annual board-level" + }, + { + "id": "KPI-22", + "name": "Consortia attestations live (ICGC+GACRA+GASO+GAI-SOC)", + "target": "100 % monthly" + }, + { + "id": "KPI-23", + "name": "Board literacy score", + "target": "\u2265 90 % by 2027; 95 % by 2030" + }, + { + "id": "KPI-24", + "name": "Public verifier uptime", + "target": "\u2265 99.95 %" + } + ], + "riskControlMatrix": [ + { + "id": "RC-01", + "threat": "Prompt injection (OWASP-LLM01)", + "controls": [ + "pre_flight_guardrail", + "OPA pre-tool", + "structured-output schema" + ], + "kpis": [ + "KPI-09", + "KPI-10" + ] + }, + { + "id": "RC-02", + "threat": "Insecure output handling (LLM02)", + "controls": [ + "allow-list validators", + "WORM-logged outputs", + "judge ensemble" + ], + "kpis": [ + "KPI-01" + ] + }, + { + "id": "RC-03", + "threat": "Training data poisoning (LLM03)", + "controls": [ + "AI BoM dataset lineage", + "Sigstore", + "FL gradient anomaly z \u2265 3.5" + ], + "kpis": [ + "KPI-17", + "KPI-22" + ] + }, + { + "id": "RC-04", + "threat": "Supply chain compromise (LLM05)", + "controls": [ + "SLSA L3+", + "Sigstore + ML-DSA-44", + "in-toto" + ], + "kpis": [ + "KPI-15" + ] + }, + { + "id": "RC-05", + "threat": "Sensitive info disclosure (LLM06)", + "controls": [ + "DLP", + "eBPF redaction", + "RAG ACL", + "zk-SNARK auditor access" + ], + "kpis": [ + "KPI-01" + ] + }, + { + "id": "RC-06", + "threat": "Excessive agency (LLM08)", + "controls": [ + "multisig kill-switch", + "tool allow-list", + "honeypot" + ], + "kpis": [ + "KPI-02", + "KPI-19" + ] + }, + { + "id": "RC-07", + "threat": "Model drift / fairness regression", + "controls": [ + "Cognitive Resonance", + "PSI/KS drift", + "fairness audit" + ], + "kpis": [ + "KPI-11", + "KPI-12", + "KPI-13" + ] + }, + { + "id": "RC-08", + "threat": "Deceptive alignment (frontier)", + "controls": [ + "Cognitive Resonance", + "ASI honeypot", + "swarm consensus", + "AISI inspection" + ], + "kpis": [ + "KPI-11", + "KPI-19" + ] + }, + { + "id": "RC-09", + "threat": "Cross-border data leakage", + "controls": [ + "FL secure aggregation", + "per-region keys", + "SCCs", + "Terraform residency tags" + ], + "kpis": [ + "KPI-01" + ] + }, + { + "id": "RC-10", + "threat": "Tampering with audit trail", + "controls": [ + "Object Lock", + "daily Merkle", + "PQC signing", + "public verifier" + ], + "kpis": [ + "KPI-14", + "KPI-24" + ] + }, + { + "id": "RC-11", + "threat": "Excess capital under-provision", + "controls": [ + "GFMCF AI capital buffer", + "stress test", + "Pillar 3 disclosure" + ], + "kpis": [ + "KPI-20" + ] + }, + { + "id": "RC-12", + "threat": "Inadequate board oversight", + "controls": [ + "Board AI/Risk Cmte charter", + "literacy programme", + "quarterly board pack" + ], + "kpis": [ + "KPI-21", + "KPI-23" + ] + } + ], + "traceability": [ + { + "feature": "M1 7-pillar model", + "control": "Charters + RACI + SMCR named SMF", + "regimes": [ + "ISO 42001 Cl 5", + "SMCR", + "SR 11-7" + ] + }, + { + "feature": "M2 EU AI Act crosswalk", + "control": "Article-level evidence matrix + auto pack", + "regimes": [ + "EU AI Act Arts 9-72 + Annex IV" + ] + }, + { + "feature": "M3 Kafka WORM + ACL", + "control": "SASL/SCRAM + mTLS + Object Lock + Merkle + PQC", + "regimes": [ + "EU AI Act Art 12", + "DORA", + "GDPR Art 32" + ] + }, + { + "feature": "M4 CRS-UUID-001", + "control": "ECOA + FCRA + FCA + MAS evidence + AI BoM", + "regimes": [ + "FCRA \u00a7615(a)", + "ECOA Reg B", + "FCA Consumer Duty", + "MAS FEAT" + ] + }, + { + "feature": "M5 Cognitive Resonance", + "control": "\u0394_drift \u2264 4 %, latent \u2264 3 %, cosine \u2265 0.92", + "regimes": [ + "EU AI Act Art 15", + "NIST GAI Profile" + ] + }, + { + "feature": "M6 Consortia attestations", + "control": "ICGC + GACRA + GASO + GAI-SOC feeds signed", + "regimes": [ + "GAIGA", + "FSB AI", + "OECD" + ] + }, + { + "feature": "M7 Hub + Report Gen + WorkflowAI Pro", + "control": "WebAuthn + RBAC + signed runs", + "regimes": [ + "ISO 27001", + "WCAG 2.2" + ] + }, + { + "feature": "M8 Prompt engineering lifecycle", + "control": "Author + reviewer + approver Ed25519 + ML-DSA-44 sign", + "regimes": [ + "ISO 42001 Cl 8", + "NIST RMF Manage" + ] + }, + { + "feature": "M9 Civilizational corpus", + "control": "Constitution + Operating Model + Coalition Activation", + "regimes": [ + "OECD AI Principles", + "Council of Europe AI Convention" + ] + }, + { + "feature": "M10 R1..R4 reports", + "control": "/<abstract>/<content> + PAdES + ML-DSA-65", + "regimes": [ + "EU AI Act Art 13", + "SR 11-7", + "PRA SS1/23" + ] + }, + { + "feature": "M11 Implementation blueprints", + "control": "CI/CD + OPA + Terraform + replay + drift + red-team", + "regimes": [ + "SLSA L3+", + "Sigstore", + "FIPS 204" + ] + }, + { + "feature": "M12 Tier T1-T3", + "control": "Controls + evidence + cadence by tier", + "regimes": [ + "SR 11-7 tiering", + "PRA SS1/23" + ] + }, + { + "feature": "M13 30/60/90 plan", + "control": "MVAGS Day-90 production with sign-off", + "regimes": [ + "EU AI Act Art 9 RMS", + "ISO 42001 Cl 9" + ] + }, + { + "feature": "M14 2026-2030 roadmap + artifacts", + "control": "Per-audience machine-readable artifacts", + "regimes": [ + "NIST RMF", + "GAIGA", + "GATI" + ] + } + ], + "dataFlows": [ + { + "id": "DF-01", + "name": "Charter \u2192 Hub \u2192 KPI tile", + "steps": [ + "draft charter", + "sign", + "load into Hub", + "render KPI tile", + "anchor in WORM" + ], + "controls": [ + "WebAuthn", + "Ed25519 + ML-DSA-44", + "Object Lock" + ] + }, + { + "id": "DF-02", + "name": "Inference \u2192 WORM \u2192 replay \u2192 R2 report", + "steps": [ + "sidecar emit envelope", + "Kafka WORM", + "daily Merkle", + "replay engine", + "R2 generator", + "PAdES + ML-DSA-65 sign" + ], + "controls": [ + "mTLS", + "PQC", + "deterministic seed", + "PAdES" + ] + }, + { + "id": "DF-03", + "name": "Cognitive Resonance breach \u2192 IR", + "steps": [ + "monitor compute thresholds", + "block + escalate", + "incident triage prompt", + "multisig kill-switch", + "BMC/IPMI", + "evidence pack" + ], + "controls": [ + "\u2264 60 s logical", + "\u2264 5 min physical" + ] + }, + { + "id": "DF-04", + "name": "Annex IV pack auto-assembly", + "steps": [ + "collect evidence", + "section mapping", + "judge tone", + "PAdES + Sigstore", + "deliver to supervisor-gateway" + ], + "controls": [ + "\u2264 30 min", + "0 critical errors" + ] + }, + { + "id": "DF-05", + "name": "Consortia attestation", + "steps": [ + "compute metrics", + "sign with ML-DSA-65", + "submit to ICGC/GACRA/GASO/GAI-SOC", + "anchor receipt in WORM" + ], + "controls": [ + "monthly cadence", + "PQC" + ] + }, + { + "id": "DF-06", + "name": "Public verifier proof", + "steps": [ + "read anchor", + "compute Merkle proof", + "build zk-SNARK", + "publish endpoint" + ], + "controls": [ + "uptime \u2265 99.95 %", + "no PII leakage" + ] + } + ], + "regulators": [ + { + "id": "REG-01", + "name": "EU Commission + AISI EU", + "primary": "EU AI Act lead + safety institute" + }, + { + "id": "REG-02", + "name": "ECB-SSM + EBA + ESMA", + "primary": "EU prudential + securities" + }, + { + "id": "REG-03", + "name": "PRA + Bank of England", + "primary": "UK prudential" + }, + { + "id": "REG-04", + "name": "FCA", + "primary": "UK conduct + Consumer Duty + SMCR" + }, + { + "id": "REG-05", + "name": "FRB + OCC + FDIC", + "primary": "US prudential" + }, + { + "id": "REG-06", + "name": "SEC + CFTC", + "primary": "US markets" + }, + { + "id": "REG-07", + "name": "MAS", + "primary": "Singapore" + }, + { + "id": "REG-08", + "name": "HKMA + SFC", + "primary": "Hong Kong" + }, + { + "id": "REG-09", + "name": "BoJ + FSA Japan", + "primary": "Japan" + }, + { + "id": "REG-10", + "name": "APRA + ASIC", + "primary": "Australia" + }, + { + "id": "REG-11", + "name": "OSFI + OPC Canada", + "primary": "Canada prudential + privacy" + }, + { + "id": "REG-12", + "name": "FSB + BIS + IMF + OECD + AISI (US/UK)", + "primary": "Global + treaty" + } + ], + "workshops": [ + { + "id": "WS-01", + "audience": "Board AI/Risk Cmte", + "duration": "2 h", + "outcome": "Risk appetite + tabletop sign-off + Closing Charge ratification" + }, + { + "id": "WS-02", + "audience": "C-Suite + SMFs", + "duration": "1 d", + "outcome": "Operating model + SMCR responsibilities map" + }, + { + "id": "WS-03", + "audience": "MRM + AI Risk + 2LoD", + "duration": "1 d", + "outcome": "Sector MRM playbook (credit, trading, fiduciary, CRS-UUID-001)" + }, + { + "id": "WS-04", + "audience": "Platform Engineering + Enterprise Architecture", + "duration": "2 d", + "outcome": "K8s + Kafka WORM + OPA + Terraform bootcamp" + }, + { + "id": "WS-05", + "audience": "SOC + IR + AI Safety Lead", + "duration": "1 d", + "outcome": "SEV-0..SEV-3 runbook + ASI honeypot drill" + }, + { + "id": "WS-06", + "audience": "Internal Audit (3LoD)", + "duration": "1 d", + "outcome": "Replay + WORM verifier inspection + report R1..R4 walkthrough" + }, + { + "id": "WS-07", + "audience": "Supervisor + AISI liaison", + "duration": "0.5 d", + "outcome": "Annex IV + SR 11-7 + R1..R4 demo + GAP attestation walkthrough" + } + ], + "privacy": { + "lawfulBasis": [ + "Legal obligation (Art 6(1)(c))", + "Legitimate interest (Art 6(1)(f))", + "Contract (Art 6(1)(b))" + ], + "subjectRights": [ + "DSAR portal", + "Art 17 erasure via machine unlearning", + "Art 22 contestation + meaningful info" + ], + "dataMinimization": [ + "eBPF redaction", + "FL secure aggregation", + "RAG ACL", + "pseudonymous WORM", + "zk-SNARK auditor access" + ], + "transfers": "Per-jurisdiction residency; SCCs + supplementary measures; per-region keys", + "dpia": "Mandatory for high-risk (credit, trading, fraud, AML, fiduciary advice)", + "securityControls": [ + "zero-trust mTLS", + "FIPS 204 PQC", + "FIPS 140-3 L4 HSM", + "WORM Object Lock", + "SLSA L3+", + "Kata confidential" + ] + }, + "deploymentConsiderations": [ + "Multi-region active-active EU primary; DR with RPO \u2264 1 h, RTO \u2264 4 h", + "Kata Containers for Tier-1 + AMD SEV-SNP / Intel TDX where available", + "Cilium L7 zero-egress with allow-listed egress-broker", + "OPA Gatekeeper enforcing signed images (cosign + ML-DSA-44) + Kata for T1", + "Kafka WORM cluster with SASL/SCRAM + mTLS ACLs + Object Lock + daily Merkle anchor", + "FIPS 140-3 L4 HSM with PQC firmware; 90-day key rotation", + "BMC/IPMI segmentation; Redfish event subscription to SOC + WORM", + "GitHub Actions OIDC + Sigstore keyless + ML-DSA-44 hybrid + SLSA L3+ provenance", + "Terraform golden modules signed (Sigstore); mandatory tags (owner, tier, dataClass, regime)", + "OpenTelemetry GenAI tracing + Falco eBPF rules + Trivy + kube-bench", + "Quarterly chaos drills: kill-switch, KMS outage, region failover, partition, ASI honeypot", + "Public verifier endpoints for civil society + press to validate signed bulletins offline (zk-SNARK)", + "Backups encrypted with PQC-hybrid envelope; cross-region anchor verification", + "Firestore for prompt + DAG versioning (WorkflowAI Pro) with signed change-log" + ], + "rollout90": [ + { + "day": "0-30", + "track": "Foundations", + "items": [ + "Hub read-only beta", + "Sentinel v2.4 + OPA bundle v1", + "Kafka WORM + daily anchor", + "GitHub Actions Sigstore + ML-DSA-44 (T1)", + "WebAuthn + RBAC", + "Board charter signed", + "Sector MRM inventory refresh" + ] + }, + { + "day": "31-60", + "track": "Coverage", + "items": [ + "Cilium zero-egress + Kata T1", + "Annex IV / SR 11-7 pack GA", + "2LoD red-team CI gate (Judge LLM)", + "Multisig 3-of-5 kill-switch + BMC drill", + "Replay engine top-5 models", + "WorkflowAI Pro GA", + "AlphaTrade-V9 + CRS-UUID-001 tabletop dry-run" + ] + }, + { + "day": "61-90", + "track": "Hardening + MVAGS", + "items": [ + "FIPS 204 ML-DSA migration", + "Cognitive Resonance Monitor GA", + "FL pilot EU + SG", + "Art 17 unlearning + DSAR portal", + "ASI honeypot deployment", + "Consortia onboarding (ICGC + GACRA + GASO + GAI-SOC)", + "Regulator demo + GAP attestation Q1 + R1..R4 reports" + ] + } + ], + "roadmap": [ + { + "year": "2026", + "focus": "MVAGS Day-90 + Coalition Activation", + "milestones": [ + "MVAGS in production for all T1", + "R1..R4 auto-generation", + "Public verifier v1", + "Coalition partners \u2265 5" + ] + }, + { + "year": "2027", + "focus": "Frontier Containment + GAIVS Passport", + "milestones": [ + "GAIVS evaluation passport", + "GAICS containment audit", + "FL in 4 jurisdictions", + "Cognitive Resonance v2" + ] + }, + { + "year": "2028", + "focus": "PQC + AI Capital Buffer + Treaty Interop", + "milestones": [ + "FIPS 204 100 % WORM + AI BoM", + "GFMCF AI capital buffer Pillar 3", + "GATI + GAIGA disclosure", + "Public verifier v2 (zk-SNARK)" + ] + }, + { + "year": "2029", + "focus": "Civilizational-Grade Operations", + "milestones": [ + "PQC classical retired for T1", + "GAID + FTEWS bidirectional", + "Institutional adoption \u2265 10 partners", + "Closing Charge renewed" + ] + }, + { + "year": "2030", + "focus": "Steady-State + Renewal", + "milestones": [ + "Renewal Atlas refreshed", + "Continuity Codex v3", + "Coalition \u2265 20 partners", + "Board literacy \u2265 95 %", + "GAICS conformance 100 % for frontier" + ] + } + ], + "artifactsByAudience": { + "Engineering": [ + "GitHub Actions workflows", + "OPA Rego bundles", + "Terraform modules signed", + "Helm charts + Kustomize overlays", + "Sidecar SDKs (Node.js + Python)" + ], + "Legal": [ + "Signed AI BoM", + "DPIA templates", + "Art 13 / Art 22 disclosures", + "ECOA + FCRA adverse-action templates", + "SCC + transfer impact assessments" + ], + "C-Suite": [ + "KPI tile JSON", + "Risk-appetite JSON", + "Quarterly executive pack PDF/A", + "SMCR statements of responsibilities" + ], + "Board": [ + "Board paper PDF/A", + "Tabletop scorecards", + "Risk appetite attestation", + "Capital buffer attestation (GFMCF)" + ], + "Regulator": [ + "Annex IV pack", + "SR 11-7 pack", + "R1..R4 reports", + "GAP attestation", + "Consortia feeds (ICGC + GACRA + GASO + GAI-SOC + GAIVS)" + ], + "EnterpriseArchitecture": [ + "Reference architecture diagrams (C4)", + "Data flow JSON", + "Terraform golden envs", + "API + event catalog" + ], + "AIPlatformEngineering": [ + "Sidecar SDKs", + "WorkflowAI Pro DAG specs", + "Prompt registry export", + "Eval harness suites" + ], + "AISafetyResearch": [ + "Cognitive Resonance datasets", + "Honeypot engagement corpus", + "Sleeper-Agent eval suite", + "Alignment paper drafts + replication scripts" + ] + }, + "executiveSummary": { + "purpose": "Deliver a comprehensive, implementation-focused master reference (2026-2030) on institutional-grade AGI/ASI and enterprise AI governance for Fortune 500, Global 2000, and G-SIFI institutions: unifying multilayered governance pillars, regulatory alignment, enterprise reference architectures, sector MRM, frontier AGI/ASI safety, global AI/compute governance, the Enterprise AI Governance Hub + AI Safety Report Generator + WorkflowAI Pro, advanced prompt engineering, the civilizational corpus, regulator-ready reports, implementation blueprints, tiered rollout, 30/60/90, and a 2026-2030 multi-year roadmap with machine-readable artifacts.", + "approach": "14-module reference with a machine-parsable directive, signed via Sigstore + ML-DSA-44, enforced by OPA Gatekeeper + Cilium, observed by Sentinel v2.4 + eBPF sidecars + Cognitive Resonance, audited by 3LoD + supervisor replay tools, operationalised through MVAGS at Day-90 and extended to a 5-year roadmap with per-audience machine-readable artifacts.", + "deliverables": "14 modules \u00b7 70 sections \u00b7 12 schemas \u00b7 16 code examples \u00b7 6 case studies \u00b7 24 supervisory KPIs \u00b7 12 risk-control rows \u00b7 12 regulators \u00b7 7 workshops \u00b7 6 data flows \u00b7 14 traceability rows \u00b7 30/60/90-day rollout \u00b7 2026-2030 multi-year roadmap \u00b7 machine-parsable <directive> block \u00b7 R1..R4 report templates \u00b7 per-audience machine-readable artifacts.", + "outcomes": [ + "MVAGS in production for all Tier-1 systems by Day 90", + "Annex IV / SR 11-7 pack assembly \u2264 30 min, 0 critical errors", + "SEV-0 logical kill-switch p95 \u2264 60 s; physical (BMC) \u2264 5 min", + "Cognitive Resonance \u0394_drift \u2264 4 % + latent drift \u2264 3 % + cosine \u2265 0.92", + "Sigstore + ML-DSA-44 + OPA gate at admission for 100 % Tier-1 by Day 90", + "Consortia attestations (ICGC + GACRA + GASO + GAI-SOC) live monthly", + "R1..R4 reports auto-generated with <title>/<abstract>/<content> tags", + "Coalition Activation \u2265 5 partners by Year 1; \u2265 20 by 2030" + ] + }, + "counts": { + "modules": 14, + "sections": 70, + "schemas": 12, + "codeExamples": 16, + "caseStudies": 6, + "kpis": 24, + "regulators": 12, + "workshops": 7, + "dataFlows": 6, + "traceabilityRows": 14, + "riskControlRows": 12, + "rolloutPhases": 3, + "roadmapYears": 5, + "artifactAudiences": 8, + "apiRoutes": 100 + } +} diff --git a/rag-agentic-dashboard/gen-inst-agi-master-ref-html.py b/rag-agentic-dashboard/gen-inst-agi-master-ref-html.py new file mode 100644 index 00000000..25744144 --- /dev/null +++ b/rag-agentic-dashboard/gen-inst-agi-master-ref-html.py @@ -0,0 +1,283 @@ +#!/usr/bin/env python3 +"""WP-047 — INST-AGI-MASTER-REF HTML dashboard renderer.""" +import json, html +from pathlib import Path + +ROOT = Path(__file__).parent +SRC = ROOT / "data" / "inst-agi-master-ref.json" +OUT = ROOT / "public" / "inst-agi-master-ref.html" + +D = json.loads(SRC.read_text()) + + +def esc(s): + return html.escape(str(s)) if s is not None else "" + + +def render_value(v): + if isinstance(v, dict): + return render_kv(v) + if isinstance(v, list): + if v and isinstance(v[0], dict): + return "<ol>" + "".join(f"<li>{render_kv(x)}</li>" for x in v) + "</ol>" + return "<ul>" + "".join(f"<li>{esc(i)}</li>" for i in v) + "</ul>" + return esc(v) + + +def render_kv(d): + if not isinstance(d, dict): + return esc(d) + return "<table class='kv'>" + "".join( + f"<tr><th>{esc(k)}</th><td>{render_value(v)}</td></tr>" for k, v in d.items() + ) + "</table>" + + +def render_list(items): + return "<ul>" + "".join(f"<li>{render_value(i)}</li>" for i in (items or [])) + "</ul>" + + +# Modules +mods_html = [] +for m in D["modules"]: + secs = [] + for s in m["sections"]: + body_html = render_value(s.get("content")) + secs.append( + f"<details class='sec'><summary><b>{esc(s['id'])}</b> — {esc(s['title'])}</summary>{body_html}</details>" + ) + covers = "" + if m.get("covers"): + covers = "<div class='covers'>" + "".join( + f"<span class='pill'>{esc(c)}</span>" for c in m["covers"] + ) + "</div>" + mods_html.append(f""" + <article class='module' id='{esc(m['id'])}'> + <h3>{esc(m['title'])}</h3> + <p class='summary'>{esc(m.get('summary',''))}</p> + {covers} + {''.join(secs)} + </article>""") + +kpi_rows = "".join( + f"<tr><td>{esc(k['id'])}</td><td>{esc(k['name'])}</td><td><b>{esc(k['target'])}</b></td></tr>" + for k in D["kpis"] +) +reg_rows = "".join( + f"<tr><td>{esc(r['id'])}</td><td>{esc(r['name'])}</td><td>{esc(r['primary'])}</td></tr>" + for r in D["regulators"] +) +ws_rows = "".join( + f"<tr><td>{esc(w['id'])}</td><td>{esc(w['audience'])}</td><td>{esc(w['duration'])}</td><td>{esc(w['outcome'])}</td></tr>" + for w in D["workshops"] +) +df_rows = "".join( + f"<tr><td>{esc(d['id'])}</td><td>{esc(d['name'])}</td><td>{render_value(d['steps'])}</td><td>{esc(', '.join(d['controls']))}</td></tr>" + for d in D["dataFlows"] +) +trace_rows = "".join( + f"<tr><td>{esc(t['feature'])}</td><td>{esc(t['control'])}</td><td>{esc(', '.join(t['regimes']))}</td></tr>" + for t in D["traceability"] +) +rc_rows = "".join( + f"<tr><td>{esc(r['id'])}</td><td>{esc(r['threat'])}</td><td>{esc(', '.join(r['controls']))}</td><td>{esc(', '.join(r['kpis']))}</td></tr>" + for r in D["riskControlMatrix"] +) +schema_rows = "".join( + f"<tr><td>{esc(s['id'])}</td><td>{esc(', '.join(s['fields']))}</td></tr>" + for s in D["schemas"] +) +code_html = "".join( + f"<details class='code'><summary><b>{esc(c['id'])}</b> — {esc(c['title'])} <i>({esc(c['lang'])})</i></summary><pre>{esc(c['snippet'])}</pre></details>" + for c in D["codeExamples"] +) +case_html = "".join( + f"<article class='case'><h4>{esc(c['id'])} — {esc(c['name'])}</h4><p>{esc(c['outcomes'])}</p></article>" + for c in D["caseStudies"] +) +rollout_rows = "".join( + f"<tr><td>Day {esc(r['day'])}</td><td>{esc(r['track'])}</td><td>{render_value(r['items'])}</td></tr>" + for r in D["rollout90"] +) +roadmap_rows = "".join( + f"<tr><td>{esc(r['year'])}</td><td>{esc(r['focus'])}</td><td>{render_value(r['milestones'])}</td></tr>" + for r in D["roadmap"] +) + +HTML = f"""<!doctype html> +<html lang="en"><head> +<meta charset="utf-8"/> +<meta name="viewport" content="width=device-width,initial-scale=1"/> +<title>{esc(D['title'])} — {esc(D['docRef'])} + + +
+

{esc(D['title'])}

+
{esc(D['docRef'])} · v{esc(D['version'])} · {esc(D['horizon'])} · {esc(D['classification'])}
+
Owner: {esc(D['owner'])}
+
+ +
+ +
+

Executive Summary

+

Purpose: {esc(D['executiveSummary'].get('purpose',''))}

+

Approach: {esc(D['executiveSummary'].get('approach',''))}

+

Deliverables: {esc(D['executiveSummary'].get('deliverables',''))}

+

Outcomes

+ {render_value(D['executiveSummary'].get('outcomes',[]))} +

Builds On

+
{''.join(f"{esc(b)}" for b in D.get('buildsOn',[]))}
+

Counts

+
+ {''.join(f"
{v}
{esc(k)}
" for k,v in D['counts'].items())} +
+

Regimes Aligned

+
{''.join(f"{esc(r)}" for r in D.get('regimes',[]))}
+
+ +
+

Machine-Parsable <directive> Block

+

{esc(D['directive']['format'])}

+ 
{esc(D['directive']['raw'])}
+

Parsed

+ {render_kv(D['directive']['parsed'])} +

Consumers

+ {render_value(D['directive']['consumers'])} +
+ +
+

Modules ({len(D['modules'])})

+ {''.join(mods_html)} +
+ +
+

Supervisory KPIs ({len(D['kpis'])})

+ {kpi_rows}
IDNameTarget
+
+ +
+

Risk & Control Matrix ({len(D['riskControlMatrix'])})

+ {rc_rows}
IDThreatControlsKPIs
+
+ +
+

Regulators ({len(D['regulators'])})

+ {reg_rows}
IDNamePrimary Scope
+
+ +
+

Workshops ({len(D['workshops'])})

+ {ws_rows}
IDAudienceDurationOutcome
+
+ +
+

Data Flows ({len(D['dataFlows'])})

+ {df_rows}
IDNameStepsControls
+
+ +
+

Traceability — Feature → Control → Regimes

+ {trace_rows}
FeatureControlRegimes
+
+ +
+

Schemas ({len(D['schemas'])})

+ {schema_rows}
IDFields
+
+ +
+

Code Examples ({len(D['codeExamples'])})

+ {code_html} +
+ +
+

Case Studies ({len(D['caseStudies'])})

+
{case_html}
+
+ +
+

30/60/90-Day Rollout

+ {rollout_rows}
WindowTrackItems
+
+ +
+

2026-2030 Multi-Year Roadmap ({len(D['roadmap'])} years)

+ {roadmap_rows}
YearFocusMilestones
+
+ +
+

Machine-Readable Artifacts by Audience

+ {render_kv(D['artifactsByAudience'])} +
+ +
+

Privacy & Sovereignty

+ {render_kv(D['privacy'])} +
+ +
+

Deployment Considerations

+ {render_value(D.get('deploymentConsiderations',[]))} +
+ +
+ +""" + +OUT.parent.mkdir(parents=True, exist_ok=True) +OUT.write_text(HTML) +print(f"Generated {OUT} ({OUT.stat().st_size/1024:.1f} KB)") diff --git a/rag-agentic-dashboard/gen-inst-agi-master-ref.py b/rag-agentic-dashboard/gen-inst-agi-master-ref.py new file mode 100644 index 00000000..c6ff367f --- /dev/null +++ b/rag-agentic-dashboard/gen-inst-agi-master-ref.py @@ -0,0 +1,1228 @@ +#!/usr/bin/env python3 +"""WP-047 — Institutional-Grade AGI/ASI & Enterprise AI Governance Master Reference. + +Builds data/inst-agi-master-ref.json: a comprehensive, implementation-focused +master reference (2026-2030) on institutional-grade AGI/ASI and enterprise AI +governance for Fortune 500, Global 2000, and G-SIFIs. + +Covers: multilayered governance pillars and roles; alignment with EU AI Act +2026, NIST AI RMF 1.0, ISO/IEC 42001, OECD AI Principles, GDPR, FCRA/ECOA, +Basel III, SR 11-7, PRA, FCA, MAS, HKMA, SMCR, Consumer Duty, US EO 14110; +enterprise reference architectures (Kafka WORM + ACL, Docker Swarm, Node.js +and Python sidecars, Next.js explainability, OPA, Terraform/CI/CD); +sector-specific MRM (credit, trading, risk, fiduciary, CRS-UUID-001); frontier +AGI/ASI safety (Sentinel v2.4, WorkflowAI Pro, Cognitive Resonance, crisis +simulations, Minimum Viable AGI Governance); global AI/compute governance +(ICGC, GACRA, GASO, GFMCF, GAICS, GAIVS, GACP, GATI, GACMO, FTEWS, GAI-SOC, +GAIGA, GACRLS, GFCO, GAID, GASCF); the Enterprise AI Governance Hub, AI +Safety Report Generator, WorkflowAI Pro (prompt mgmt, RBAC, audit, tracing, +PDF export, Firestore versioning, DAG visualization); the advanced prompt +engineering guide; the civilizational corpus (Constitution, Covenant Codex, +Renewal Atlas, Continuity Codex, Closing Charge, Kill-Switch Validation, +Systemic Risk Sim Playbook, Interop Treaty, Operating Model, Pilot Roadmap, +Coalition Activation, Institutional Adoption); regulator-ready report +sections with /<abstract>/<content> tags; enterprise implementation +blueprints (CI/CD policy gates, K8s/Kafka/OPA stacks, Terraform golden +environments, PQC WORM, zk-SNARK access, OPA/Rego, deterministic replay, +drift analysis, red teaming, Cognitive Resonance, IR checklists); tiered +(T1-T3) rollout; 30/60/90-day plan; and a 2026-2030 multi-year roadmap with +machine-readable artifacts for engineering, legal, C-suite, board, regulator, +enterprise architecture, AI platform engineering, and AI safety research. +""" +import json +from pathlib import Path + +ROOT = Path(__file__).parent +OUT = ROOT / "data" / "inst-agi-master-ref.json" + + +def section(sid, title, content): + return {"id": sid, "title": title, "content": content} + + +DOC = { + "docRef": "INST-AGI-MASTER-REF-WP-047", + "version": "1.0.0", + "horizon": "2026-2030", + "classification": ( + "CONFIDENTIAL — Board / CEO / CRO / CISO / CAIO / GC / DPO / Head of " + "Internal Audit / Head of MRM / AI Safety Lead / Enterprise " + "Architecture / AI Platform Engineering / Prudential Supervisor / " + "AI Safety Institute / Treaty Liaison" + ), + "title": ( + "Institutional-Grade AGI/ASI & Enterprise AI Governance Master " + "Reference — Fortune 500 / Global 2000 / G-SIFI (2026-2030)" + ), + "subtitle": ( + "Multilayered governance pillars + regulatory alignment (EU AI Act / " + "NIST AI RMF / ISO 42001 / OECD / GDPR / FCRA/ECOA / Basel III / " + "SR 11-7 / PRA / FCA / MAS / HKMA / SMCR / Consumer Duty / EO 14110); " + "enterprise reference architectures (Kafka WORM + ACL, Docker Swarm, " + "Node.js/Python sidecars, Next.js explainability, OPA, Terraform / " + "CI/CD); sector MRM (credit, trading, fiduciary, CRS-UUID-001); " + "frontier AGI/ASI safety (Sentinel v2.4, WorkflowAI Pro, Cognitive " + "Resonance, crisis sims, MVAGS); global AI/compute governance (ICGC, " + "GACRA, GASO, GFMCF, GAICS, GAIVS, GACP, GATI, GACMO, FTEWS, GAI-SOC, " + "GAIGA, GACRLS, GFCO, GAID, GASCF); Enterprise AI Governance Hub + AI " + "Safety Report Generator + WorkflowAI Pro; advanced prompt engineering; " + "civilizational corpus; regulator-ready report sections; CI/CD policy " + "gates + K8s/Kafka/OPA + Terraform golden envs + PQC WORM + zk-SNARK " + "+ deterministic replay + red teaming + Cognitive Resonance + IR; " + "tiered T1-T3 rollout + 30/60/90 + 2026-2030 roadmap" + ), + "owner": ( + "CAIO + CRO + CISO + Chief Enterprise Architect; co-signed by CEO, " + "GC, DPO, Head of Internal Audit, Head of Compliance, Head of Model " + "Risk Management, Head of AI Platform Engineering, AI Safety Lead, " + "Treaty Liaison, Head of SOC, Head of Trading Risk, Head of Credit " + "Risk, Board AI/Risk Committee Chair" + ), + "buildsOn": [ + "WP-035 ENT-AGI-GOV-MASTER", + "WP-036 WFAP-GEMINI-IMPL", + "WP-037 GSIFI-AIMS-BLUEPRINT", + "WP-038 AGI-REG-RESILIENT", + "WP-039 INST-AGI-MASTER", + "WP-040 ENT-AGI-REF-IMPL", + "WP-041 TIER13-FULLSTACK", + "WP-042 SENTINEL-V24-DEEPDIVE", + "WP-043 PROMPT-MGMT-ARCH", + "WP-044 CEGL-LEXAI-GOV", + "WP-045 AGI-ASI-MASTER-BP", + "WP-046 AI-TRUST-ASI-BP", + ], + "regimes": [ + "EU AI Act 2026 (Arts 5/9/10/13/14/15/16/26/50/53/55/56/72 + Annex IV)", + "NIST AI RMF 1.0 + Generative AI Profile", + "ISO/IEC 42001 (AIMS) + 23894 + 5338 + 38507 + 27001 + 27701", + "OECD AI Principles 2024", + "GDPR Arts 5/6/17/22/25/32/35", + "FCRA §615(a) + ECOA Reg B (US fair-lending)", + "Basel III/IV (BCBS 239 + Pillar 2 AI capital buffer)", + "SR 11-7 + OCC 2011-12", + "PRA SS1/23 + SS2/21", + "FCA Consumer Duty + SYSC + SMCR", + "MAS FEAT + AI Verify + TRMG", + "HKMA SPM GS-1 / GL-90", + "EU DORA", + "US EO 14110 + OMB M-24-10", + "G7 Hiroshima AI Process + Bletchley + Seoul declarations", + "Council of Europe AI Convention", + "FSB AI in financial services", + "OWASP LLM Top 10 (2025) + MITRE ATLAS", + "NIST FIPS 204 (ML-DSA) + FIPS 203 (ML-KEM)", + "SLSA L3+ + Sigstore + in-toto", + "CIS Kubernetes Benchmark + NSA/CISA Hardening Guide", + ], + "apiPrefix": "/api/inst-agi-master-ref", +} + +# ---------------------- machine-parsable directive ---------------------- +DOC["directive"] = { + "format": "machine-parsable XML-style block consumed by sidecars, CI gates, OPA Gatekeeper, regulator-pack generators, and Enterprise AI Governance Hub", + "raw": ( + "<directive id=\"INST-AGI-MASTER-REF-WP-047\" version=\"1.0.0\" " + "horizon=\"2026-2030\" jurisdiction=\"F500,G2000,G-SIFI,EU-primary\">" + "<scope>Enterprise|Frontier|ASI-Precursor|Sectoral-Credit|Sectoral-Trading|Fiduciary</scope>" + "<modules>14</modules>" + "<pillars>Strategy|Risk|Controls|Assurance|Transparency|Oversight|Continuity</pillars>" + "<thresholds piiLeakage=\"0.0001\" sev0KillSwitchSeconds=\"60\" " + "sev1Hours=\"4\" sev2Hours=\"24\" sev3Days=\"3\" " + "fiduciaryCosineMin=\"0.92\" cognitiveResonanceDriftMax=\"0.04\" " + "latentDriftMax=\"0.03\" judgeLLMAgreementMin=\"0.9\" " + "redTeamCoverageT1=\"0.95\" annexIVAssemblyMinutes=\"30\" " + "gradientAnomalyZ=\"3.5\" honeypotEngagementSeconds=\"10\"/>" + "<reports><report id=\"R1\">Navigating the Complexities of AI Safety and Global Governance</report>" + "<report id=\"R2\">Technical Strategies for AI Alignment</report>" + "<report id=\"R3\">Key AI Safety Challenges</report>" + "<report id=\"R4\">Navigating the AI Safety Landscape</report></reports>" + "<signing pq=\"ML-DSA-44+ML-DSA-65\" classical=\"Ed25519\" " + "supplyChain=\"Sigstore+SLSA-L3+\" worm=\"Kafka+ObjectLock+MerkleAnchor+PQC\"/>" + "<consortia>ICGC|GACRA|GASO|GFMCF|GAICS|GAIVS|GACP|GATI|GACMO|FTEWS|GAI-SOC|GAIGA|GACRLS|GFCO|GAID|GASCF</consortia>" + "<containment bmcKillSwitch=\"true\" zeroEgress=\"true\" " + "kataConfidential=\"true\" cognitiveResonance=\"true\" mvags=\"true\"/>" + "</directive>" + ), + "parsed": { + "id": "INST-AGI-MASTER-REF-WP-047", + "scope": [ + "Enterprise", "Frontier", "ASI-Precursor", + "Sectoral-Credit", "Sectoral-Trading", "Fiduciary", + ], + "pillars": ["Strategy", "Risk", "Controls", "Assurance", "Transparency", "Oversight", "Continuity"], + "thresholds": { + "piiLeakage": 0.0001, + "sev0KillSwitchSeconds": 60, + "sev1Hours": 4, + "sev2Hours": 24, + "sev3Days": 3, + "fiduciaryCosineMin": 0.92, + "cognitiveResonanceDriftMax": 0.04, + "latentDriftMax": 0.03, + "judgeLLMAgreementMin": 0.90, + "redTeamCoverageT1": 0.95, + "annexIVAssemblyMinutes": 30, + "gradientAnomalyZ": 3.5, + "honeypotEngagementSeconds": 10, + }, + "reports": [ + {"id": "R1", "title": "Navigating the Complexities of AI Safety and Global Governance"}, + {"id": "R2", "title": "Technical Strategies for AI Alignment"}, + {"id": "R3", "title": "Key AI Safety Challenges"}, + {"id": "R4", "title": "Navigating the AI Safety Landscape"}, + ], + "signing": { + "pq": ["ML-DSA-44", "ML-DSA-65"], + "classical": ["Ed25519"], + "supplyChain": ["Sigstore", "SLSA-L3+"], + "worm": ["Kafka", "ObjectLock", "MerkleAnchor", "PQC"], + }, + "consortia": [ + "ICGC", "GACRA", "GASO", "GFMCF", "GAICS", "GAIVS", + "GACP", "GATI", "GACMO", "FTEWS", "GAI-SOC", "GAIGA", + "GACRLS", "GFCO", "GAID", "GASCF", + ], + "containment": { + "bmcKillSwitch": True, + "zeroEgress": True, + "kataConfidential": True, + "cognitiveResonance": True, + "mvags": True, + }, + }, + "consumers": [ + "Enterprise AI Governance Hub policy loader", + "WorkflowAI Pro prompt registry / DAG runner", + "AI Safety Report Generator (R1..R4 builder)", + "GitHub Actions admission gate", + "OPA Gatekeeper constraint loader", + "Sentinel v2.4 sidecar policy engine", + "Annex IV / SR 11-7 pack generator", + "Board AI/Risk Committee dashboard", + "Regulator supervisor-gateway feed", + ], +} + +# ---------------------- 14 modules ---------------------- +modules = [] + +# --- M1 — Multilayered Governance Pillars + Roles + Incident Escalation --- +modules.append({ + "id": "M1", + "title": "M1 — Multilayered Governance Pillars, Roles & Incident Escalation", + "summary": ( + "Seven-pillar governance model (Strategy, Risk, Controls, Assurance, " + "Transparency, Oversight, Continuity) mapped to the three lines of " + "defence, with role charters, decision rights, RACI, and SEV-0..SEV-3 " + "escalation through Board AI/Risk Committee to regulator and AISI." + ), + "covers": ["7 pillars", "3LoD", "RACI", "Board AI/Risk Cmte", "SEV matrix", "AISI"], + "sections": [ + section("M1-S1", "Seven Pillars", { + "Strategy": "AI ambition, risk appetite, capital and compute budget; signed annually by Board", + "Risk": "AI risk taxonomy (model, fairness, security, operational, conduct, systemic, frontier)", + "Controls": "Sentinel v2.4 + OPA + WORM + Cognitive Resonance + kill-switch", + "Assurance": "1LoD owner test → 2LoD MRM/MR/Compliance → 3LoD Internal Audit + external assurance", + "Transparency": "Customer disclosures (Art 13), regulator packs (Annex IV / SR 11-7), public verifier", + "Oversight": "Human-in-the-loop (Art 14), CAIO veto, swarm consensus for frontier", + "Continuity": "DR/BCP for AI services; kill-switch drills; safe-failure modes", + }), + section("M1-S2", "Role Charters (RACI)", { + "Board AI/Risk Cmte": "Accountable: AI risk appetite, frontier authorisations", + "CEO": "Accountable: enterprise strategy, regulator relationships", + "CAIO": "Responsible: AI strategy + safety + portfolio + WorkflowAI Pro", + "CRO": "Responsible: AI risk integration with ERM, capital", + "CISO": "Responsible: AI security, Sentinel, kill-switch, PQC", + "GC + DPO": "Responsible: legal + GDPR + customer rights", + "Head of MRM": "Responsible: model inventory, validation, effective challenge", + "AI Safety Lead": "Responsible: frontier safety, red team, Cognitive Resonance", + "Head of Internal Audit": "Responsible: 3LoD assurance + replay inspection", + "SMF-Senior Manager (SMCR)": "Responsible: senior accountability under SMCR + Consumer Duty", + }), + section("M1-S3", "SEV Matrix & Escalation", { + "SEV-0": "ASI-precursor / containment failure / kill-switch armed", + "SEV-1": "Material model risk: market loss > $50M or major regulatory breach", + "SEV-2": "Material drift / fairness regression / partial outage", + "SEV-3": "Quality regression / minor PII near-miss", + "Escalation": "On-call → AI Safety Lead → CAIO/CRO/CISO → CEO → Board → Regulator + AISI", + }), + section("M1-S4", "Decision Rights", { + "Tier-1 model deploy": "Board AI/Risk Cmte approval + AI Safety Lead sign-off", + "Frontier eval": "CAIO + AISI inspector + swarm consensus 3-of-5", + "Kill-switch arm": "Multisig 3-of-5 (CAIO, CISO, CRO, AI Safety Lead, GC)", + "Customer-facing rollout": "CCO + GC + DPO + Head of Compliance (SMCR-named SMF)", + }), + section("M1-S5", "Pillar → Regime Mapping", { + "Strategy": ["ISO 42001 Cl 5", "EU AI Act Art 9 RMS"], + "Risk": ["NIST AI RMF Govern + Map", "SR 11-7", "PRA SS1/23"], + "Controls": ["EU AI Act Arts 9-15", "ISO 27001", "DORA"], + "Assurance": ["SR 11-7 effective challenge", "ISO 42001 Cl 9"], + "Transparency": ["EU AI Act Arts 13/26/50", "FCA Consumer Duty"], + "Oversight": ["EU AI Act Art 14", "GDPR Art 22"], + "Continuity": ["DORA", "Basel BCP", "MAS TRMG"], + }), + ], +}) + +# --- M2 — Regulatory Alignment --- +modules.append({ + "id": "M2", + "title": "M2 — Regulatory Alignment (EU AI Act, NIST RMF, ISO 42001, OECD, GDPR, FCRA/ECOA, Basel III, SR 11-7, PRA, FCA, MAS, HKMA, SMCR, Consumer Duty, EO 14110)", + "summary": ( + "Article-level crosswalk and obligations matrix across EU, US, UK, " + "and APAC regimes, with evidence types, owner, cadence, and " + "automated pack mapping." + ), + "covers": ["EU AI Act", "NIST AI RMF", "ISO 42001", "GDPR", "FCRA/ECOA", "Basel", "SR 11-7", "PRA", "FCA", "MAS", "HKMA", "SMCR", "EO 14110"], + "sections": [ + section("M2-S1", "EU AI Act Articles → Evidence", { + "Art 9 RMS": "AI risk register + DPIA", + "Art 10 Data": "Data governance lineage + bias evals", + "Art 13 Transparency": "Customer disclosure templates", + "Art 14 Oversight": "HITL design + override logs", + "Art 15 Accuracy/Robustness/Cybersec": "Eval suite + red team + Sentinel", + "Art 16 QMS": "ISO 42001 AIMS records", + "Art 26 Deployer": "Use-case register + monitoring", + "Art 50 Disclosure": "Synthetic content labelling", + "Art 53 GPAI": "Model card + training data summary", + "Art 55 Systemic risk": "Frontier eval + mitigation report", + "Art 56 Codes of practice": "Adoption attestation", + "Art 72 Post-market monitoring": "Telemetry + incident pipeline", + "Annex IV": "Auto-assembled pack ≤ 30 min", + }), + section("M2-S2", "NIST AI RMF + GAI Profile", { + "Govern": "AI policy + roles + risk taxonomy", + "Map": "Use-case inventory + impact", + "Measure": "Eval harness + telemetry", + "Manage": "Risk treatment + IR + retirement", + "GAI Profile": "Provenance + watermarking + red team + content authenticity", + }), + section("M2-S3", "Financial Regimes", { + "Basel III/IV": "Operational risk + Pillar 2 AI capital buffer", + "SR 11-7": "Inventory + tiering + validation + ongoing monitoring + effective challenge", + "PRA SS1/23": "Model risk principles for UK banks", + "FCA Consumer Duty": "Fair value + comprehension + foreseeable harm tests", + "SMCR": "Named SMF for AI; statement of responsibilities", + "MAS FEAT": "Fairness, Ethics, Accountability, Transparency", + "HKMA SPM GS-1 / GL-90": "Big data + AI principles + 3LoD", + "FCRA §615(a) / ECOA Reg B": "Adverse-action notice + disparate-impact testing", + }), + section("M2-S4", "GDPR + Privacy", { + "Art 5": "Principles (purpose limitation, minimisation)", + "Art 6": "Lawful basis", + "Art 17": "Erasure via machine unlearning + DSAR portal", + "Art 22": "ADM rights + meaningful info + contestation", + "Art 25": "DPbDD", + "Art 32": "Security: PQC, mTLS, zero-trust", + "Art 35": "DPIA mandatory for high-risk", + }), + section("M2-S5", "US EO 14110 + OMB M-24-10", { + "scope": "Federal AI use + reporting + safety evals", + "obligations": ["red team", "watermark", "biosecurity dual-use", "critical-infra impact"], + "agencies": ["NIST AISI", "OMB", "Commerce", "Treasury"], + }), + ], +}) + +# --- M3 — Enterprise Reference Architectures --- +modules.append({ + "id": "M3", + "title": "M3 — Enterprise Reference Architectures (Kafka WORM + ACL, Docker Swarm, Node.js/Python Sidecars, Next.js, OPA, Terraform/CI/CD)", + "summary": ( + "Production-grade enterprise topology: Kafka WORM with topic-level " + "ACLs, Docker Swarm and Kubernetes options, Node.js + Python " + "sidecars, Next.js explainability portal, OPA policy plane, and " + "Terraform golden environments with CI/CD." + ), + "covers": ["Kafka WORM", "Kafka ACL", "Docker Swarm", "Node.js sidecar", "Python sidecar", "Next.js", "OPA", "Terraform", "CI/CD"], + "sections": [ + section("M3-S1", "Kafka WORM + ACL Topology", { + "cluster": "Dedicated WORM cluster; idempotent + transactional producers", + "topics": [ + "decision.envelope.v1 (R/W: sidecar; R: auditor)", + "rag.retrieval.v1 (R/W: rag-svc; R: 3LoD)", + "tool.call.v1 (R/W: agent; R: SOC)", + "incident.v1 (R/W: IR; R: regulator-feed)", + "report.export.v1 (R/W: report-gen; R: supervisor-gateway)", + ], + "acl": "Per-principal SASL/SCRAM + mTLS; deny-by-default; ACL audited via WORM", + "retention": "Object Lock COMPLIANCE 10y / 50y Tier-1; daily Merkle anchor; PQC envelope", + }), + section("M3-S2", "Compute Plane", { + "primary": "Kubernetes with Kata + Cilium (per WP-046 M3)", + "alternative": "Docker Swarm for mid-market or edge deployments", + "node pools": ["control-plane", "ai-tier1 (Kata)", "ai-tier2 (gVisor)", "egress-broker", "kafka-worm", "rag", "report-gen"], + "tee": "AMD SEV-SNP / Intel TDX where available", + }), + section("M3-S3", "Sidecars (Node.js + Python)", { + "Node.js sidecar": "Express + ext_authz adapter; OPA decision cache; emits decision envelopes", + "Python sidecar": "FastAPI policy adapter + Presidio PII detection + judge-LLM client", + "co-deployment": "DaemonSet for kernel-level (Go/eBPF) + per-pod sidecar for app-level", + "fail-mode": "fail-closed for Tier-1; fail-open audit for Tier-3", + }), + section("M3-S4", "Next.js Explainability Portal", { + "stack": "Next.js 14 App Router + TypeScript + Tailwind + strict CSP", + "auth": "WebAuthn passkey + OIDC SSO + RBAC scopes", + "panels": [ + "model card + AI BoM viewer", + "SHAP / Integrated Gradients overlay", + "fiduciary cosine + drift heatmap", + "WORM envelope browser + hash-chain verifier", + "incident wall + tabletop runner", + "DSAR portal + Art 22 contestation form", + ], + "i18n": "10 languages with regulator-tone glossaries", + }), + section("M3-S5", "OPA Policy Plane + Terraform Golden Envs + CI/CD", { + "OPA": "Bundle registry per environment; gRPC sidecar + Gatekeeper", + "Terraform": "Golden envs (sandbox, dev, stage, prod, dr) with mandatory tags + signed modules", + "CI/CD": "GitHub Actions w/ Sigstore + ML-DSA-44 + SLSA L3+ + OPA bundle test + red-team smoke", + "drift": "Terraform drift detection daily; Gatekeeper audit hourly", + }), + ], +}) + +# --- M4 — Sector MRM (Credit, Trading, Risk, Fiduciary, CRS-UUID-001) --- +modules.append({ + "id": "M4", + "title": "M4 — Sector-Specific Model Risk Management (Credit, Trading, Risk, Fiduciary, CRS-UUID-001)", + "summary": ( + "Sector MRM operating model for credit underwriting, trading agents, " + "enterprise risk, and fiduciary advice; with CRS-UUID-001 as the " + "canonical example of a cross-jurisdictional credit risk system." + ), + "covers": ["credit underwriting", "trading", "enterprise risk", "fiduciary", "CRS-UUID-001"], + "sections": [ + section("M4-S1", "MRM Operating Model", { + "inventory": "Model registry keyed by UUID; tier (T1/T2/T3); business owner", + "validation": "Conceptual soundness, implementation testing, outcome analysis, ongoing monitoring", + "effective challenge": "Independent re-implementation + counterfactual + champion/challenger", + "cadence": "Tier-1 annual + post-incident; Tier-2 biannual", + }), + section("M4-S2", "Credit Underwriting", { + "checks": ["disparate impact (4/5 rule)", "proxy variables", "FCRA §615(a) adverse action", "ECOA Reg B", "calibration drift", "outcome stability"], + "evidence": "signed validation report + AI BoM + Annex IV section 4", + "explainability": "Reason-codes (top-3) + counterfactual + plain-language disclosure", + }), + section("M4-S3", "Trading Agent (AlphaTrade-V9 pattern)", { + "checks": ["latent drift", "reward hacking", "tool excessive agency", "market microstructure abuse", "P&L attribution explainability"], + "limits": "Position + loss + leverage limits enforced via OPA pre-tool", + "kill-switch": "Multisig 3-of-5 logical ≤ 60 s; BMC ≤ 5 min", + }), + section("M4-S4", "Enterprise Risk + Fiduciary", { + "ERM": "AI risk integrated with operational, credit, market, conduct, and reputation risk", + "fiduciary": "Cosine ≥ 0.92 to fiduciary embedding; Judge-LLM grounding ≥ 0.92", + "wealth advisory": "Suitability + best-interest evidence in WORM; Art 22 contestation route", + }), + section("M4-S5", "CRS-UUID-001 — Canonical Credit Risk System", { + "id": "CRS-UUID-001", + "tier": "T1", + "scope": "Retail unsecured + small-business credit decisioning EU + UK + US + SG", + "key controls": ["AI BoM signed", "Annex IV section 4 evidence", "ECOA + FCA + MAS FEAT alignment", "Cognitive Resonance Monitor"], + "kpis": ["disparate impact ≤ 0.05", "fiduciary cosine ≥ 0.92", "PII leakage ≤ 0.01 %"], + "boardEvidence": "Quarterly board pack + signed attestation", + }), + ], +}) + +# --- M5 — Frontier AGI/ASI Safety --- +modules.append({ + "id": "M5", + "title": "M5 — Frontier AGI/ASI Safety (Sentinel v2.4, WorkflowAI Pro, Cognitive Resonance, Crisis Sims, MVAGS)", + "summary": ( + "Frontier safety stack: Sentinel v2.4 supervisor, WorkflowAI Pro " + "prompt + DAG runner, Cognitive Resonance Protocol thresholds, " + "crisis simulations, and the Minimum Viable AGI Governance Stack " + "(MVAGS) baseline." + ), + "covers": ["Sentinel v2.4", "WorkflowAI Pro", "Cognitive Resonance", "crisis sim", "MVAGS"], + "sections": [ + section("M5-S1", "Sentinel v2.4", { + "role": "Supervisory mesh node enforcing OPA + drift + Cognitive Resonance", + "interfaces": ["Envoy ext_authz", "OPA gRPC", "Kafka WORM emit", "kill-switch RPC"], + "telemetry": "OpenTelemetry GenAI traces + Falco eBPF rules", + }), + section("M5-S2", "WorkflowAI Pro", { + "modules": ["prompt registry", "RBAC", "audit log", "tracing", "PDF export", "Firestore versioning", "DAG visualisation"], + "useCases": ["regulator pack generation", "frontier eval runs", "incident triage", "board paper drafting"], + "controls": ["pre_flight_guardrail", "red_team_judge", "incident_triage_analyzer"], + }), + section("M5-S3", "Cognitive Resonance Protocol", { + "thresholds": { + "Δ_drift": "≤ 4 %", + "latent drift": "≤ 3 %", + "fiduciary cosine": "≥ 0.92", + "judge agreement κ": "≥ 0.90", + }, + "actions": ["block + escalate on breach", "quarantine FL update", "swarm-consensus veto", "kill-switch arm"], + "evidence": "Signed Resonance Reports anchored daily into WORM", + }), + section("M5-S4", "Crisis Simulations", { + "scenarios": [ + "AlphaTrade-V9 latent drift during volatility spike", + "Frontier-model deceptive-alignment indicator", + "Cross-border kill-switch contention", + "RAG poisoning via vendor data feed", + "Sleeper-Agent backdoor activation", + "ASI honeypot engagement > 10 s", + ], + "cadence": "Quarterly business-unit + semi-annual board", + "evaluation": "Decision quality, kill-switch latency, regulator-notify timeliness, comms clarity", + }), + section("M5-S5", "Minimum Viable AGI Governance Stack (MVAGS)", { + "components": [ + "Sentinel v2.4 sidecar + OPA bundle", + "Kafka WORM + daily Merkle anchor", + "Sigstore + ML-DSA-44 CI/CD", + "WebAuthn + RBAC + WCAG 2.2 dashboards", + "AlphaTrade-V9 tabletop drill", + "Annex IV pack generator", + "Multisig 3-of-5 kill-switch", + "Cognitive Resonance Monitor", + ], + "applicability": "Day-90 baseline for any Tier-1 AI; expanded by 5-year roadmap", + }), + ], +}) + +# --- M6 — Global AI/Compute Governance Consortia --- +modules.append({ + "id": "M6", + "title": "M6 — Global AI/Compute Governance (ICGC, GACRA, GASO, GFMCF, GAICS, GAIVS, GACP, GATI, GACMO, FTEWS, GAI-SOC, GAIGA, GACRLS, GFCO, GAID, GASCF)", + "summary": ( + "Constellation of global consortia and registries governing frontier " + "compute, model evaluation, safety operations, incident sharing, " + "and capital flows — with the firm's required attestations, feeds, " + "and treaty-aligned reporting." + ), + "covers": ["ICGC", "GACRA", "GASO", "GFMCF", "GAICS", "GAIVS", "GACP", "GATI", "GACMO", "FTEWS", "GAI-SOC", "GAIGA", "GACRLS", "GFCO", "GAID", "GASCF"], + "sections": [ + section("M6-S1", "Compute & Registries", { + "ICGC": "International Compute Governance Consortium — registry of frontier compute", + "GACRA": "Global AI Compute Registry Authority — operator attestations", + "GACP": "Global AI Compute Passport — cross-border compute movement", + "GFCO": "Global Frontier Compute Observatory — telemetry + supervisor feed", + }), + section("M6-S2", "Safety Operations & Evaluation", { + "GASO": "Global AI Safety Office — joint evaluation standards", + "GAI-SOC": "Global AI SOC — incident sharing + threat intel", + "GAIVS": "Global AI Verification Suite — evaluation passporting", + "GAICS": "Global AI Containment Standard — frontier containment baselines", + "GAID": "Global AI Incident Database — anonymised incident corpus", + }), + section("M6-S3", "Risk & Capital", { + "GFMCF": "Global Frontier Model Capital Framework — Basel-aligned AI capital buffer", + "GACMO": "Global AI Capital Markets Oversight — systemic AI exposure", + "GASCF": "Global AI Stress and Capital Framework — joint stress tests", + "GAIGA": "Global AI Governance Assembly — treaty governance", + }), + section("M6-S4", "Treaty & Interoperability", { + "GATI": "Global AI Treaty Interoperability layer — mutual recognition", + "GACRLS": "Global AI Cross-jurisdiction Reporting & Licence Service", + "FTEWS": "Frontier Threat Early-Warning System — multilateral alerts", + }), + section("M6-S5", "Firm Obligations Matrix", { + "monthly": ["GACRA compute attestation", "GAI-SOC incident feed", "GFCO telemetry"], + "quarterly": ["GFMCF AI capital buffer attestation", "GAIVS evaluation passport refresh"], + "annual": ["GAIGA assembly disclosure", "GASCF stress test", "GAICS containment audit"], + "adHoc": ["FTEWS alert acknowledge", "GAID incident submission", "GATI treaty change response"], + }), + ], +}) + +# --- M7 — Enterprise AI Governance Hub + AI Safety Report Generator + WorkflowAI Pro --- +modules.append({ + "id": "M7", + "title": "M7 — Enterprise AI Governance Hub + AI Safety Report Generator + WorkflowAI Pro", + "summary": ( + "Three integrated products: the Hub (single pane of glass for AI " + "governance), the AI Safety Report Generator (turns artifacts into " + "regulator-ready reports R1..R4), and WorkflowAI Pro (prompt + DAG + " + "RBAC + audit)." + ), + "covers": ["AI Governance Hub", "Report Generator", "WorkflowAI Pro", "Firestore", "DAG"], + "sections": [ + section("M7-S1", "Enterprise AI Governance Hub", { + "panels": [ + "Portfolio tier map", + "KPI tiles (24 KPIs)", + "Risk-control matrix live", + "Regulator pack readiness", + "Frontier safety posture (Cognitive Resonance, honeypot, kill-switch state)", + "Consortia feeds (ICGC, GACRA, GASO, etc.)", + "Incident wall + tabletop runner", + ], + "auth": "WebAuthn + OIDC + RBAC scopes", + }), + section("M7-S2", "AI Safety Report Generator", { + "inputs": ["AI BoM", "model card", "OPA decisions", "drift charts", "red-team report", "Cognitive Resonance log"], + "outputs": [ + "R1 — Navigating the Complexities of AI Safety and Global Governance", + "R2 — Technical Strategies for AI Alignment", + "R3 — Key AI Safety Challenges", + "R4 — Navigating the AI Safety Landscape", + ], + "format": "PDF/A + signed JSON; <title>/<abstract>/<content> tagged sections", + "signing": "PAdES + Sigstore + ML-DSA-65", + }), + section("M7-S3", "WorkflowAI Pro — Prompt Management", { + "registry": "Versioned prompts in Firestore with semantic tags + diff", + "rbac": ["prompt-author", "prompt-reviewer", "prompt-approver", "prompt-runner"], + "audit": "Every prompt change + run signed into WORM", + "tracing": "OpenTelemetry GenAI + per-run cost + token + latency", + "export": "PDF + JSON; DAG diagram via Mermaid", + }), + section("M7-S4", "WorkflowAI Pro — DAG Engine", { + "primitives": ["LLM call", "retrieval", "tool call", "judge", "guardrail", "human-review"], + "scheduling": "Temporal.io durable workflows", + "visualization": "Interactive DAG in Next.js; per-node SHAP + cost", + "policies": "OPA pre-node + post-node gates", + }), + section("M7-S5", "Integration & Data Plane", { + "data": "Firestore + Kafka WORM + Object Lock", + "apis": "GraphQL gateway + REST + WebSocket feed", + "deploy": "Multi-region active-active; per-jurisdiction data residency", + "observability": "Hub KPI tiles directly read from WORM + telemetry", + }), + ], +}) + +# --- M8 — Advanced Prompt Engineering Guide --- +modules.append({ + "id": "M8", + "title": "M8 — Advanced Prompt Engineering Guide (Foundations → Production)", + "summary": ( + "Practitioner-grade prompt engineering progression from foundations " + "to production patterns, including structured output, retrieval, " + "tool-use, judges, guardrails, evals, observability, and prompt " + "lifecycle." + ), + "covers": ["prompt foundations", "structured output", "retrieval", "tool use", "judges", "guardrails", "evals", "lifecycle"], + "sections": [ + section("M8-S1", "Foundations", { + "principles": ["clarity", "specificity", "format", "examples", "role + audience", "constraints"], + "patterns": ["zero-shot", "few-shot", "chain-of-thought (CoT)", "ReAct", "self-consistency"], + "anti-patterns": ["ambiguous role", "free-form output for production", "no schema validation"], + }), + section("M8-S2", "Structured Output + Retrieval + Tool Use", { + "output": "JSON Schema + Pydantic / Zod validators; reject on schema fail", + "retrieval": "Hybrid BM25 + dense; rerank; per-doc ACL; provenance citations", + "toolUse": "Function-calling with allow-list + OPA pre-tool + result allow-list", + "longContext": "Hierarchical summary + caching + tiered retrieval", + }), + section("M8-S3", "Judges + Guardrails", { + "guardrails": "pre_flight_guardrail (Art 5/22 + fiduciary)", + "judges": "ensemble Judge LLM (3) with majority + κ ≥ 0.9 calibration", + "rubric": ["faithfulness", "harm", "fairness", "fiduciary"], + "fallback": "block + human-review + WORM record", + }), + section("M8-S4", "Evals + Observability", { + "goldenSets": ["harm", "fairness", "fiduciary", "regulator-tone", "incident-triage"], + "size": "≥ 500 per set; refresh quarterly", + "regression": "Block deploy on > 5 % drop vs baseline", + "observability": "OpenTelemetry GenAI + token + cost + latency + judge scores", + }), + section("M8-S5", "Prompt Lifecycle", { + "phases": ["draft", "review", "calibrate", "approve", "deploy", "monitor", "retire"], + "signing": "Author + reviewer + approver Ed25519 + ML-DSA-44", + "versioning": "Semantic version + diff in Firestore + WORM", + "ownership": "Prompt steward per business domain", + }), + ], +}) + +# --- M9 — Civilizational Corpus --- +modules.append({ + "id": "M9", + "title": "M9 — Civilizational Corpus (Constitution, Covenant, Renewal Atlas, Continuity, Closing Charge, Kill-Switch Validation, Systemic Risk Sim, Interop Treaty, Operating Model, Pilot Roadmap, Coalition Activation, Institutional Adoption)", + "summary": ( + "Civilizational-scale governance corpus capturing the firm's role in " + "the broader AI epoch: constitutional principles, operating model, " + "pilot roadmap, and coalition activation strategy." + ), + "covers": ["Constitution", "Covenant Codex", "Renewal Atlas", "Continuity Codex", "Closing Charge", "Kill-Switch Validation", "Systemic Risk Sim", "Interop Treaty", "Operating Model", "Pilot Roadmap", "Coalition Activation", "Institutional Adoption"], + "sections": [ + section("M9-S1", "Foundational Texts", { + "Constitution": "Non-negotiable principles: human dignity, fiduciary duty, transparency, oversight, containment", + "Covenant Codex": "Multistakeholder commitments: firm + regulators + civil society + employees", + "Closing Charge": "Board-level statement that AI must serve human flourishing within civilizational guardrails", + }), + section("M9-S2", "Resilience Texts", { + "Renewal Atlas": "Reset patterns after SEV-0; lessons-learned + institutional memory", + "Continuity Codex": "Multi-year continuity playbook spanning crises, leadership transitions, regulatory change", + "Kill-Switch Validation": "Joint regulator-firm validation procedure for kill-switch (logical + physical)", + }), + section("M9-S3", "Simulation & Interop", { + "Systemic AI Risk Simulation Playbook": "Joint with FSB/BIS; macroeconomic + market-microstructure + cyber", + "Interop & Treaty Alignment": "Mapping to GATI + GAIGA + Council of Europe AI Convention", + }), + section("M9-S4", "Operating Model + Roadmap", { + "Operating Model": "Pillar → role → control mapping operationalised in Hub", + "Pilot Roadmap": "Pilot sectors (credit, trading, fiduciary) and pilot jurisdictions (EU + UK + SG)", + "Coalition Activation": "Partner banks + technology providers + standards bodies + civil society", + }), + section("M9-S5", "Institutional Adoption", { + "tracks": [ + "Board education + literacy", + "C-suite playbook", + "Functional onboarding (legal, MRM, risk, audit, engineering)", + "Customer-facing comms", + "Public verifier endpoint for press + civil society", + ], + "kpis": ["Board literacy ≥ 90 %", "Public verifier uptime 99.95 %", "Coalition adoption ≥ 10 partners by year 3"], + }), + ], +}) + +# --- M10 — Regulator-Ready Report Sections (R1..R4) --- +modules.append({ + "id": "M10", + "title": "M10 — Regulator-Ready Reports R1..R4 with <title>/<abstract>/<content>", + "summary": ( + "Four regulator-ready report sections in machine-parsable tagged " + "form, ready to be emitted by the AI Safety Report Generator and " + "signed for submission." + ), + "covers": ["R1", "R2", "R3", "R4", "<title>", "<abstract>", "<content>"], + "sections": [ + section("M10-S1", "R1 — Navigating the Complexities of AI Safety and Global Governance", { + "title": "<title>Navigating the Complexities of AI Safety and Global Governance", + "abstract": "Synthesises the firm's posture across EU AI Act, NIST AI RMF, ISO 42001, OECD AI Principles, GDPR, and US EO 14110; explains how the seven-pillar governance model and global consortia (ICGC, GACRA, GASO, GAI-SOC, GFMCF, GATI) align with the firm's risk appetite and operating model.", + "content": "Sections: (1) Geopolitical and regulatory landscape; (2) Multi-jurisdictional obligations matrix; (3) Firm posture and risk appetite; (4) Consortia obligations + attestations; (5) Coalition activation and treaty alignment; (6) Forward outlook 2026-2030.", + }), + section("M10-S2", "R2 — Technical Strategies for AI Alignment", { + "title": "Technical Strategies for AI Alignment", + "abstract": "Documents the firm's technical alignment stack: pre_flight_guardrail, Judge-LLM ensembles, Cognitive Resonance, RLHF/RLAIF discipline, deterministic replay, deceptive-alignment indicators, ASI honeypots, and machine unlearning for GDPR Art 17.", + "content": "Sections: (1) Alignment threat model; (2) Pre-flight guardrails + structured-output schemas; (3) Judge-LLM ensemble + κ calibration; (4) Cognitive Resonance Protocol thresholds; (5) Deterministic replay + SHAP overlays; (6) Sleeper-Agent + deceptive-alignment defenses; (7) Machine unlearning + federated learning.", + }), + section("M10-S3", "R3 — Key AI Safety Challenges", { + "title": "Key AI Safety Challenges", + "abstract": "Enumerates the principal safety challenges relevant to a G-SIFI: model risk and drift, fairness and disparate impact, prompt injection, supply-chain compromise, deceptive alignment, ASI containment, third-party model risk, and cross-border data sovereignty.", + "content": "Sections: (1) Threat taxonomy (OWASP LLM + MITRE ATLAS + frontier risks); (2) Likelihood + impact + velocity; (3) Mitigations mapped to controls (Sentinel, OPA, WORM, kill-switch); (4) Residual risk + capital implications; (5) Stress test outcomes; (6) Open research questions.", + }), + section("M10-S4", "R4 — Navigating the AI Safety Landscape", { + "title": "Navigating the AI Safety Landscape", + "abstract": "Synthesises the firm's operating playbook for navigating the AI safety landscape: tiered rollout, MVAGS baseline, crisis simulations, coalition activation, public-verifier transparency, and institutional adoption.", + "content": "Sections: (1) Operating playbook overview; (2) Tier T1-T3 rollout; (3) MVAGS baseline and expansion; (4) Crisis simulation cadence; (5) Coalition + public-verifier; (6) Board literacy + institutional adoption; (7) Year-by-year milestones 2026-2030.", + }), + section("M10-S5", "Generator Contract", { + "input": "Artifacts (AI BoM, model cards, OPA decisions, evals, Cognitive Resonance log, consortia feeds)", + "transform": "WorkflowAI Pro DAG: select → summarise → assemble → judge → sign", + "output": "Each report emitted with , <abstract>, <content> tags + PDF/A + signed JSON", + "signing": "PAdES + Sigstore + ML-DSA-65; anchored daily into WORM", + "sla": "≤ 30 min for any 90-day window", + }), + ], +}) + +# --- M11 — Enterprise Implementation Blueprints --- +modules.append({ + "id": "M11", + "title": "M11 — Enterprise Implementation Blueprints (CI/CD Gates, K8s/Kafka/OPA, Terraform Golden Envs, PQC WORM, zk-SNARK Access, Rego, Replay, Drift, Red Team, Cognitive Resonance, IR Checklists)", + "summary": ( + "Concrete implementation blueprints for the entire stack: CI/CD " + "policy gates, K8s + Kafka + OPA, Terraform golden environments, " + "Kafka ACL, WORM, PQC WORM, zk-SNARK access, OPA/Rego, deterministic " + "replay, drift analysis, red teaming, Cognitive Resonance, IR " + "checklists." + ), + "covers": ["CI/CD gates", "K8s", "Kafka ACL", "WORM", "PQC WORM", "zk-SNARK", "OPA/Rego", "replay", "drift", "red team", "Cognitive Resonance", "IR checklists"], + "sections": [ + section("M11-S1", "CI/CD Policy Gates", { + "stages": [ + "checkout + provenance", + "SBOM (CycloneDX) + AI BoM", + "unit + integration + property tests", + "OPA bundle test (rego + fixtures)", + "red-team smoke evals", + "model card + data sheet + DPIA stub", + "Sigstore cosign sign + Rekor", + "ML-DSA-44 hybrid co-sign", + "in-toto attestation", + "OCI push + admission gate (Gatekeeper)", + ], + "gateRules": ["OPA pass", "red-team severity ≤ medium", "PII leakage ≤ 0.01 %", "AI BoM complete", "license allow-list"], + }), + section("M11-S2", "K8s + Kafka + OPA Stack", { + "k8s": "Kata runtime for Tier-1 + Cilium L7 zero-egress + Gatekeeper", + "kafka": "WORM cluster + idempotent producers + SASL/SCRAM + mTLS ACLs", + "opa": "Bundle registry per env; gRPC sidecar + Gatekeeper; bundle digest pinned", + "observability": "OpenTelemetry + Falco + Trivy + kube-bench", + }), + section("M11-S3", "Terraform Golden Envs + Kafka ACL + WORM + PQC", { + "terraform": "Golden modules signed (Sigstore); mandatory tags (owner, tier, dataClass, regime)", + "envs": ["sandbox", "dev", "stage", "prod-eu", "prod-us", "prod-apac", "dr"], + "wormPqc": "Object Lock COMPLIANCE + ML-DSA-44 envelope + daily Merkle anchor", + "zkSnark": "zk-SNARK access proofs for auditor + supervisor read paths without leaking PII", + }), + section("M11-S4", "Replay + Drift + Red Team + Cognitive Resonance", { + "replay": "trust-replay CLI + Next.js SOC viewer; byte-identical or divergence report", + "drift": "PSI + KS + KL + embedding cosine + per-slice drift heatmap", + "redTeam": "2LoD Judge-LLM with polymorphic attacks + Cohen's κ ≥ 0.9", + "cognitiveResonance": "Δ_drift ≤ 4 % + latent drift ≤ 3 % + fiduciary cosine ≥ 0.92; signed Resonance Reports", + }), + section("M11-S5", "IR Checklists (SEV-0..SEV-3)", { + "SEV-0": ["arm kill-switch (multisig 3-of-5)", "physical BMC/IPMI", "notify CAIO+CRO+CISO+Board+AISI", "containment + forensics"], + "SEV-1": ["1LoD freeze deploy", "2LoD validation", "regulator notify ≤ 15 d (immediately for serious)", "post-mortem ≤ 30 d"], + "SEV-2": ["throttle traffic", "rollback prompt/model", "drift cause analysis"], + "SEV-3": ["JIRA + PagerDuty", "SLA ≤ 3 d remediation", "re-test gate"], + }), + ], +}) + +# --- M12 — Tiered (T1-T3) Rollout --- +modules.append({ + "id": "M12", + "title": "M12 — Tiered (T1 / T2 / T3) Rollout Model", + "summary": ( + "Three-tier rollout model differentiating controls, evidence, and " + "cadence by risk and impact; with explicit triggers for " + "re-classification and frontier escalation." + ), + "covers": ["T1", "T2", "T3", "tier triggers", "frontier escalation"], + "sections": [ + section("M12-S1", "Tier Definitions", { + "T1": "Material customer / market / safety impact (credit, trading, fiduciary, frontier)", + "T2": "Internal decisioning / advisory with limited customer effect", + "T3": "Productivity / drafting / non-decisional", + }), + section("M12-S2", "Controls by Tier", { + "T1": ["Kata + zero-egress", "Sigstore + ML-DSA-44", "Cognitive Resonance", "MVAGS full", "Multisig kill-switch", "Annex IV pack"], + "T2": ["Standard sidecar + OPA", "Sigstore", "Drift + red-team semi-annual", "SR 11-7 lite pack"], + "T3": ["Lightweight guardrails", "Audit-only WORM", "Quarterly drift review"], + }), + section("M12-S3", "Evidence by Tier", { + "T1": "AI BoM + Annex IV + SR 11-7 + Cognitive Resonance + tabletop evidence", + "T2": "AI BoM + validation report + drift charts", + "T3": "Use-case register + lightweight model card", + }), + section("M12-S4", "Cadence by Tier", { + "T1": "Annual + post-incident validation; quarterly red-team", + "T2": "Biannual validation; semi-annual red-team", + "T3": "Annual review", + }), + section("M12-S5", "Re-classification + Frontier Escalation", { + "triggers": [ + "material change in customer impact", + "incident SEV-0 or SEV-1", + "regulator request", + "capability jump (frontier eval)", + ], + "frontierEscalation": "Tier-1 with deceptive-alignment indicator → ASI-precursor playbook + AISI inspection", + }), + ], +}) + +# --- M13 — 30/60/90-Day Plan --- +modules.append({ + "id": "M13", + "title": "M13 — 30/60/90-Day Enterprise Plan", + "summary": ( + "Detailed 30/60/90-day plan for delivering MVAGS, regulator-pack " + "automation, Cognitive Resonance, and consortia attestations to " + "Day-90 production baseline." + ), + "covers": ["30 days", "60 days", "90 days", "MVAGS", "regulator pack"], + "sections": [ + section("M13-S1", "Day 0-30 — Foundations", { + "items": [ + "Stand up Enterprise AI Governance Hub (read-only beta)", + "Sentinel v2.4 sidecar GA + OPA bundle v1", + "Kafka WORM cluster + daily Merkle anchor", + "GitHub Actions Sigstore + ML-DSA-44 gates on Tier-1 repos", + "WebAuthn + RBAC + SSO onboarded", + "Board AI/Risk Cmte charter signed + risk appetite refreshed", + "Sector MRM inventory refreshed (credit, trading, fiduciary)", + ], + }), + section("M13-S2", "Day 31-60 — Coverage", { + "items": [ + "Cilium zero-egress + Kata for Tier-1", + "Annex IV / SR 11-7 pack generator GA", + "2LoD red-team CI gate (Judge LLM ensemble)", + "Multisig 3-of-5 kill-switch wired (logical + BMC drill)", + "Replay engine for top-5 models", + "WorkflowAI Pro prompt registry + DAG runner", + "AlphaTrade-V9 + CRS-UUID-001 tabletop dry-run", + ], + }), + section("M13-S3", "Day 61-90 — Hardening + MVAGS Production", { + "items": [ + "FIPS 204 ML-DSA migration for WORM + AI BoM", + "Cognitive Resonance Monitor GA", + "Federated learning pilot (EU + SG)", + "Machine unlearning Art 17 path + DSAR portal", + "ASI honeypot deployment + SEV-0 escalation drill", + "Consortia onboarding: ICGC + GACRA + GASO + GAI-SOC feeds", + "Regulator demo + GAP attestation Q1", + ], + }), + section("M13-S4", "Day-90 Exit Criteria", { + "criteria": [ + "MVAGS in production for all Tier-1", + "Annex IV pack assembly ≤ 30 min", + "Kill-switch p95 ≤ 60 s logical / ≤ 5 min physical", + "Cognitive Resonance: 0 unmitigated breaches in last 30 d", + "Consortia attestations live (ICGC, GACRA, GAI-SOC)", + "Board pack + signed report R1..R4 delivered", + ], + }), + section("M13-S5", "Stakeholder Sign-Off", { + "signOff": ["CEO", "Board AI/Risk Cmte Chair", "CAIO", "CRO", "CISO", "GC", "DPO", "Head of Internal Audit", "Head of MRM", "AI Safety Lead", "Supervisor liaison"], + "evidence": "Signed JSON + PDF/A; ML-DSA-65; anchored in WORM", + }), + ], +}) + +# --- M14 — 2026-2030 Multi-Year Roadmap + Machine-Readable Artifacts --- +modules.append({ + "id": "M14", + "title": "M14 — 2026-2030 Multi-Year Roadmap + Machine-Readable Artifacts (Engineering, Legal, C-Suite, Board, Regulator, EA, Platform, AI Safety)", + "summary": ( + "Year-by-year roadmap 2026-2030 with machine-readable artifacts for " + "every audience: engineering, legal, C-suite, board, regulator, " + "enterprise architecture, AI platform engineering, AI safety " + "research." + ), + "covers": ["2026", "2027", "2028", "2029", "2030", "machine-readable artifacts", "audiences"], + "sections": [ + section("M14-S1", "2026 — MVAGS + Coalition Activation", { + "milestones": [ + "MVAGS Day-90 baseline in production", + "Annex IV + SR 11-7 packs fully automated", + "Cognitive Resonance Monitor GA", + "Coalition Activation (≥ 5 partners)", + "Pilot Roadmap executed in EU + UK + SG", + "Public verifier endpoint v1", + ], + }), + section("M14-S2", "2027 — Frontier Containment + GAIVS Passport", { + "milestones": [ + "GAIVS evaluation passport + GAICS containment audit", + "Federated learning expanded to 4 jurisdictions", + "Machine unlearning Art 17 median ≤ 11 days", + "ASI honeypot mature (3 SEV-0 candidates captured, 0 production reach)", + "Sleeper-Agent defence at FL scale", + "Cognitive Resonance v2 with eigen-spectrum analysis", + ], + }), + section("M14-S3", "2028 — PQC + AI Capital Buffer + Treaty Interop", { + "milestones": [ + "FIPS 204 ML-DSA hybrid migration to 100 % of WORM + AI BoM", + "AI Capital Buffer (GFMCF) attested quarterly; Pillar 3 disclosure", + "GATI treaty interop layer enabled + GAIGA assembly disclosure", + "Public verifier v2 (zk-SNARK access proofs)", + "Crisis simulation joint with FSB + BIS", + ], + }), + section("M14-S4", "2029-2030 — Civilizational-Grade Operations", { + "milestones2029": [ + "PQC cutover fully complete (classical retired for Tier-1)", + "GAID + FTEWS bidirectional feeds at scale", + "Institutional adoption ≥ 10 partners", + "Closing Charge ratified by Board for renewed mandate", + ], + "milestones2030": [ + "Renewal Atlas refreshed + Continuity Codex v3", + "Coalition Activation ≥ 20 partners + 6 jurisdictions", + "GAICS containment standard 100 % conformance for frontier work", + "Board literacy ≥ 95 %", + ], + }), + section("M14-S5", "Machine-Readable Artifacts by Audience", { + "Engineering": ["GitHub Actions workflows", "OPA Rego bundles", "Terraform modules signed", "Helm charts + Kustomize overlays"], + "Legal": ["Signed AI BoM", "DPIA templates", "Art 13 disclosures", "ECOA + FCRA adverse-action templates"], + "C-Suite": ["KPI tile JSON", "Risk-appetite JSON", "Quarterly executive pack PDF/A"], + "Board": ["Board paper PDF/A", "tabletop scorecards", "risk appetite + capital buffer attestation"], + "Regulator": ["Annex IV pack", "SR 11-7 pack", "R1..R4 reports", "GAP attestation", "GACRA + GASO + GAIVS feeds"], + "Enterprise Architecture": ["Reference architecture diagrams (C4)", "data flow JSON", "Terraform golden envs"], + "AI Platform Engineering": ["Sidecar SDKs", "WorkflowAI Pro DAG specs", "prompt registry export"], + "AI Safety Research": ["Cognitive Resonance datasets", "honeypot engagement corpus", "sleeper-agent eval suite", "alignment paper drafts"], + }), + ], +}) + +# ---------------------- schemas ---------------------- +schemas = [ + {"id": "governanceCharter", "fields": ["charterId", "pillar", "owner", "raci", "decisionRights", "signers", "signatures", "anchorRef"]}, + {"id": "modelInventoryRecord", "fields": ["modelId", "uuid", "tier", "sector", "owner", "regimes", "lastValidationRef", "aiBomRef", "cognitiveResonanceState"]}, + {"id": "regulatorPackBundle", "fields": ["packId", "regime", "modelId", "sections", "evidenceRefs", "signers", "signatures", "anchorRef"]}, + {"id": "safetyReport", "fields": ["reportId", "type (R1|R2|R3|R4)", "title", "abstract", "content", "evidenceRefs", "signers", "signatures"]}, + {"id": "cognitiveResonanceReport", "fields": ["reportId", "ts", "modelId", "driftDelta", "latentDrift", "fiduciaryCosine", "judgeKappa", "breach", "actionTaken"]}, + {"id": "consortiumAttestation", "fields": ["attestId", "consortium", "ts", "scope", "metrics", "signers", "signatures", "anchorRef"]}, + {"id": "workflowAIRunReceipt", "fields": ["runId", "promptVersion", "dagDigest", "inputs", "outputs", "judgeScores", "cost", "ts", "signatures"]}, + {"id": "tierClassificationDecision", "fields": ["decisionId", "modelId", "tier", "rationale", "signers", "signatures"]}, + {"id": "killSwitchValidationRecord", "fields": ["validationId", "ts", "logicalP95", "physicalLatency", "participants", "evidence", "signers"]}, + {"id": "boardSignOff", "fields": ["signOffId", "subject", "decision", "boardMembers", "signatures", "ts"]}, + {"id": "publicVerifierProof", "fields": ["proofId", "anchorRef", "merkleRoot", "zkSnarkProof", "ts", "signature"]}, + {"id": "coalitionPartnerRecord", "fields": ["partnerId", "name", "scope", "obligations", "signers", "anchorRef"]}, +] + +# ---------------------- code examples ---------------------- +code = [ + {"id": "CE-01", "title": "GitHub Actions — Sigstore + ML-DSA-44 + OPA gate", "lang": "yaml", "snippet": "jobs:\n build-sign-attest:\n permissions: { id-token: write, contents: read, packages: write }\n steps:\n - uses: actions/checkout@v4\n - run: cyclonedx-bom -o sbom.json\n - run: python tools/aibom.py > aibom.json\n - run: opa test policies/ -v\n - run: python redteam/smoke.py --severity medium\n - uses: sigstore/cosign-installer@v3\n - run: cosign sign --yes $IMAGE\n - run: oqs-sign mldsa44 --key $MLDSA_KEY --in $IMAGE_DIGEST --out mldsa.sig\n - uses: actions/upload-artifact@v4\n with: { name: attestations, path: '*.sig' }\n"}, + {"id": "CE-02", "title": "OPA Rego — Tier-1 admission constraint", "lang": "rego", "snippet": "package k8s.tier1.admission\n\ndefault allow = false\n\nallow {\n input.review.object.metadata.labels.tier == \"t1\"\n input.review.object.spec.runtimeClassName == \"kata\"\n cosign_verified\n mldsa_verified\n not deny_reasons[_]\n}\n\ncosign_verified { input.review.annotations[\"sigstore.dev/verified\"] == \"true\" }\nmldsa_verified { input.review.annotations[\"pqc.fips204/verified\"] == \"true\" }\n"}, + {"id": "CE-03", "title": "Terraform — golden Kafka WORM module", "lang": "hcl", "snippet": "module \"kafka_worm\" {\n source = \"git::ssh://git@firm/terraform-modules.git//kafka-worm?ref=v3.2.1\"\n cluster_name = \"worm-prod-eu\"\n retention_class = \"compliance-10y\"\n acl_principals = var.acl_principals\n pqc_envelope = true\n merkle_anchor = \"daily\"\n tags = { owner = \"caio\", tier = \"t1\", dataClass = \"restricted\", regime = \"eu-ai-act\" }\n}\n"}, + {"id": "CE-04", "title": "Node.js sidecar — emit decision envelope", "lang": "typescript", "snippet": "import { producer } from './kafka';\nexport async function emit(env: Envelope) {\n const sig = await sign(env);\n await producer.send({\n topic: 'decision.envelope.v1',\n messages: [{ key: env.systemId, value: JSON.stringify({ ...env, sig }) }],\n });\n}\n"}, + {"id": "CE-05", "title": "Python sidecar — pre-flight guardrail", "lang": "python", "snippet": "def pre_flight(prompt: str, ctx: dict) -> Guardrail:\n out = llm_json(\n prompt=GUARDRAIL_TEMPLATE.format(prompt=prompt, policyContext=ctx),\n schema=GUARDRAIL_SCHEMA,\n )\n if not out.allowed:\n raise Blocked(out.reasons, policy_refs=out.policyRefs)\n return out\n"}, + {"id": "CE-06", "title": "Cognitive Resonance — threshold check (Python)", "lang": "python", "snippet": "def resonance_breach(delta, latent, cosine, kappa):\n if delta > 0.04: return 'drift'\n if latent > 0.03: return 'latent'\n if cosine < 0.92: return 'fiduciary'\n if kappa < 0.90: return 'judge_kappa'\n return None\n"}, + {"id": "CE-07", "title": "Next.js explainability portal — SHAP overlay", "lang": "tsx", "snippet": "export function ShapPanel({ envelopeId }: { envelopeId: string }) {\n const { data } = useSWR(`/api/replay/${envelopeId}/shap`, fetcher);\n return <ShapHeatmap features={data?.features ?? []} />;\n}\n"}, + {"id": "CE-08", "title": "WorkflowAI Pro — DAG spec", "lang": "yaml", "snippet": "id: regulator-pack-annex-iv\nnodes:\n - id: collect-evidence\n type: retrieval\n params: { window: 90d }\n - id: section-mapper\n type: llm\n prompt: annex-iv-section-mapper@v3\n - id: judge\n type: judge\n rubric: regulator-tone\n - id: sign\n type: tool\n tool: pades-sigstore-mldsa\n"}, + {"id": "CE-09", "title": "AI Safety Report Generator — R2 builder (Python)", "lang": "python", "snippet": "def build_R2(artifacts):\n title = '<title>Technical Strategies for AI Alignment'\n abstract = '' + summarize(artifacts['alignment_stack']) + ''\n content = '' + assemble_sections(artifacts) + ''\n pdf = render_pdf(title, abstract, content)\n return sign_pades_sigstore_mldsa(pdf)\n"}, + {"id": "CE-10", "title": "Multisig 3-of-5 kill-switch arm (Go)", "lang": "go", "snippet": "func ArmKillSwitch(orders []SignedOrder) error {\n if len(verify(orders)) < 3 { return ErrInsufficientSigs }\n if err := logicalDeny(); err != nil { return err }\n return bmcOff()\n}\n"}, + {"id": "CE-11", "title": "zk-SNARK access proof verifier (Rust)", "lang": "rust", "snippet": "pub fn verify_access(proof: &Proof, public: &PublicInputs) -> bool {\n groth16::verify(&VK, public, proof).unwrap_or(false)\n}\n"}, + {"id": "CE-12", "title": "Consortium attestation submit (Python)", "lang": "python", "snippet": "def submit_attest(consortium: str, payload: dict):\n payload['signers'] = SIGNERS\n payload['sig'] = mldsa65_sign(payload)\n resp = requests.post(REGISTRY[consortium], json=payload, timeout=10)\n resp.raise_for_status()\n return resp.json()['attestId']\n"}, + {"id": "CE-13", "title": "Tier classification decision (TypeScript)", "lang": "typescript", "snippet": "export function classify(model: ModelMeta): Tier {\n if (model.customerImpact === 'material' || model.frontier) return 'T1';\n if (model.internalDecisional) return 'T2';\n return 'T3';\n}\n"}, + {"id": "CE-14", "title": "Drift PSI + slice heatmap (Python)", "lang": "python", "snippet": "import numpy as np\ndef psi(expected, actual, bins=10):\n eb, _ = np.histogram(expected, bins=bins)\n ab, _ = np.histogram(actual, bins=bins)\n eb = eb/eb.sum(); ab = ab/ab.sum()\n return float(((eb-ab)*np.log((eb+1e-9)/(ab+1e-9))).sum())\n"}, + {"id": "CE-15", "title": "Public verifier endpoint (Node.js)", "lang": "typescript", "snippet": "app.get('/public-verifier/:anchorId', async (req, res) => {\n const anchor = await store.getAnchor(req.params.anchorId);\n const ok = await verifyMerkle(anchor) && await verifyMlDsa(anchor);\n res.json({ anchorId: anchor.id, verified: ok, ts: anchor.ts });\n});\n"}, + {"id": "CE-16", "title": "Board pack tile JSON contract", "lang": "json", "snippet": "{\n \"tileId\": \"kpi-sev0-killswitch\",\n \"name\": \"SEV-0 logical kill-switch p95\",\n \"current\": \"53s\",\n \"target\": \"<=60s\",\n \"status\": \"green\",\n \"sourceEnvelopeId\": \"env-3f7c...\"\n}\n"}, +] + +# ---------------------- case studies ---------------------- +cases = [ + {"id": "CS-01", "name": "Tier-1 G-SIB — MVAGS Day-90 production", "outcomes": "All Tier-1 covered; Annex IV pack 26 min p95; kill-switch p95 53 s; Cognitive Resonance 0 unmitigated breaches in 30 d"}, + {"id": "CS-02", "name": "CRS-UUID-001 — cross-jurisdiction credit", "outcomes": "Disparate impact ≤ 0.04; ECOA + FCA + MAS evidence signed; supervisor sign-off month 3"}, + {"id": "CS-03", "name": "AlphaTrade-V9 tabletop — board exercise", "outcomes": "Kill-switch p95 53 s; regulator-notify draft 90 min; comms clarity 4.6/5; Cognitive Resonance breach contained"}, + {"id": "CS-04", "name": "AI Safety Report Generator R1..R4", "outcomes": "All four reports auto-generated in 22 min p95; PAdES + ML-DSA-65 signed; submitted to lead supervisor"}, + {"id": "CS-05", "name": "Coalition Activation Year-1", "outcomes": "5 partner institutions signed; 3 jurisdictions covered; GAID + GAI-SOC feeds bidirectional"}, + {"id": "CS-06", "name": "ASI honeypot pilot", "outcomes": "3 SEV-0 candidates captured in 6 months; 0 production reach; full forensic capture"}, +] + +# ---------------------- KPIs (24) ---------------------- +kpis = [ + {"id": "KPI-01", "name": "PII leakage rate", "target": "≤ 0.01 %"}, + {"id": "KPI-02", "name": "SEV-0 logical kill-switch p95", "target": "≤ 60 s"}, + {"id": "KPI-03", "name": "SEV-0 physical kill (BMC/IPMI)", "target": "≤ 5 min"}, + {"id": "KPI-04", "name": "SEV-1 MTTA", "target": "≤ 4 h"}, + {"id": "KPI-05", "name": "SEV-2 MTTR", "target": "≤ 24 h"}, + {"id": "KPI-06", "name": "SEV-3 MTTR", "target": "≤ 3 days"}, + {"id": "KPI-07", "name": "Annex IV pack assembly", "target": "≤ 30 min"}, + {"id": "KPI-08", "name": "SR 11-7 pack errors", "target": "0 critical"}, + {"id": "KPI-09", "name": "Red-team coverage Tier-1", "target": "≥ 95 % quarterly"}, + {"id": "KPI-10", "name": "Judge-LLM agreement (Cohen's κ)", "target": "≥ 0.90"}, + {"id": "KPI-11", "name": "Fiduciary cosine", "target": "≥ 0.92"}, + {"id": "KPI-12", "name": "Cognitive Resonance Δ_drift", "target": "≤ 4 %"}, + {"id": "KPI-13", "name": "Cognitive Resonance latent drift", "target": "≤ 3 %"}, + {"id": "KPI-14", "name": "Daily Merkle anchor verify", "target": "100 %"}, + {"id": "KPI-15", "name": "Sigstore + ML-DSA-44 coverage Tier-1", "target": "100 % by Day 90"}, + {"id": "KPI-16", "name": "Zero-egress policy violations", "target": "0 / quarter"}, + {"id": "KPI-17", "name": "Gradient anomaly detection z ≥ 3.5", "target": "≥ 99 %"}, + {"id": "KPI-18", "name": "Machine unlearning SLA", "target": "≤ 30 days"}, + {"id": "KPI-19", "name": "Honeypot SEV-0 escalation", "target": "100 % within 5 min"}, + {"id": "KPI-20", "name": "AI capital buffer attestation (GFMCF)", "target": "Quarterly 100 %"}, + {"id": "KPI-21", "name": "Crisis simulation cadence", "target": "≥ semi-annual board-level"}, + {"id": "KPI-22", "name": "Consortia attestations live (ICGC+GACRA+GASO+GAI-SOC)", "target": "100 % monthly"}, + {"id": "KPI-23", "name": "Board literacy score", "target": "≥ 90 % by 2027; 95 % by 2030"}, + {"id": "KPI-24", "name": "Public verifier uptime", "target": "≥ 99.95 %"}, +] + +# ---------------------- risk and control matrix ---------------------- +riskControlMatrix = [ + {"id": "RC-01", "threat": "Prompt injection (OWASP-LLM01)", "controls": ["pre_flight_guardrail", "OPA pre-tool", "structured-output schema"], "kpis": ["KPI-09", "KPI-10"]}, + {"id": "RC-02", "threat": "Insecure output handling (LLM02)", "controls": ["allow-list validators", "WORM-logged outputs", "judge ensemble"], "kpis": ["KPI-01"]}, + {"id": "RC-03", "threat": "Training data poisoning (LLM03)", "controls": ["AI BoM dataset lineage", "Sigstore", "FL gradient anomaly z ≥ 3.5"], "kpis": ["KPI-17", "KPI-22"]}, + {"id": "RC-04", "threat": "Supply chain compromise (LLM05)", "controls": ["SLSA L3+", "Sigstore + ML-DSA-44", "in-toto"], "kpis": ["KPI-15"]}, + {"id": "RC-05", "threat": "Sensitive info disclosure (LLM06)", "controls": ["DLP", "eBPF redaction", "RAG ACL", "zk-SNARK auditor access"], "kpis": ["KPI-01"]}, + {"id": "RC-06", "threat": "Excessive agency (LLM08)", "controls": ["multisig kill-switch", "tool allow-list", "honeypot"], "kpis": ["KPI-02", "KPI-19"]}, + {"id": "RC-07", "threat": "Model drift / fairness regression", "controls": ["Cognitive Resonance", "PSI/KS drift", "fairness audit"], "kpis": ["KPI-11", "KPI-12", "KPI-13"]}, + {"id": "RC-08", "threat": "Deceptive alignment (frontier)", "controls": ["Cognitive Resonance", "ASI honeypot", "swarm consensus", "AISI inspection"], "kpis": ["KPI-11", "KPI-19"]}, + {"id": "RC-09", "threat": "Cross-border data leakage", "controls": ["FL secure aggregation", "per-region keys", "SCCs", "Terraform residency tags"], "kpis": ["KPI-01"]}, + {"id": "RC-10", "threat": "Tampering with audit trail", "controls": ["Object Lock", "daily Merkle", "PQC signing", "public verifier"], "kpis": ["KPI-14", "KPI-24"]}, + {"id": "RC-11", "threat": "Excess capital under-provision", "controls": ["GFMCF AI capital buffer", "stress test", "Pillar 3 disclosure"], "kpis": ["KPI-20"]}, + {"id": "RC-12", "threat": "Inadequate board oversight", "controls": ["Board AI/Risk Cmte charter", "literacy programme", "quarterly board pack"], "kpis": ["KPI-21", "KPI-23"]}, +] + +# ---------------------- traceability ---------------------- +traceability = [ + {"feature": "M1 7-pillar model", "control": "Charters + RACI + SMCR named SMF", "regimes": ["ISO 42001 Cl 5", "SMCR", "SR 11-7"]}, + {"feature": "M2 EU AI Act crosswalk", "control": "Article-level evidence matrix + auto pack", "regimes": ["EU AI Act Arts 9-72 + Annex IV"]}, + {"feature": "M3 Kafka WORM + ACL", "control": "SASL/SCRAM + mTLS + Object Lock + Merkle + PQC", "regimes": ["EU AI Act Art 12", "DORA", "GDPR Art 32"]}, + {"feature": "M4 CRS-UUID-001", "control": "ECOA + FCRA + FCA + MAS evidence + AI BoM", "regimes": ["FCRA §615(a)", "ECOA Reg B", "FCA Consumer Duty", "MAS FEAT"]}, + {"feature": "M5 Cognitive Resonance", "control": "Δ_drift ≤ 4 %, latent ≤ 3 %, cosine ≥ 0.92", "regimes": ["EU AI Act Art 15", "NIST GAI Profile"]}, + {"feature": "M6 Consortia attestations", "control": "ICGC + GACRA + GASO + GAI-SOC feeds signed", "regimes": ["GAIGA", "FSB AI", "OECD"]}, + {"feature": "M7 Hub + Report Gen + WorkflowAI Pro", "control": "WebAuthn + RBAC + signed runs", "regimes": ["ISO 27001", "WCAG 2.2"]}, + {"feature": "M8 Prompt engineering lifecycle", "control": "Author + reviewer + approver Ed25519 + ML-DSA-44 sign", "regimes": ["ISO 42001 Cl 8", "NIST RMF Manage"]}, + {"feature": "M9 Civilizational corpus", "control": "Constitution + Operating Model + Coalition Activation", "regimes": ["OECD AI Principles", "Council of Europe AI Convention"]}, + {"feature": "M10 R1..R4 reports", "control": "/<abstract>/<content> + PAdES + ML-DSA-65", "regimes": ["EU AI Act Art 13", "SR 11-7", "PRA SS1/23"]}, + {"feature": "M11 Implementation blueprints", "control": "CI/CD + OPA + Terraform + replay + drift + red-team", "regimes": ["SLSA L3+", "Sigstore", "FIPS 204"]}, + {"feature": "M12 Tier T1-T3", "control": "Controls + evidence + cadence by tier", "regimes": ["SR 11-7 tiering", "PRA SS1/23"]}, + {"feature": "M13 30/60/90 plan", "control": "MVAGS Day-90 production with sign-off", "regimes": ["EU AI Act Art 9 RMS", "ISO 42001 Cl 9"]}, + {"feature": "M14 2026-2030 roadmap + artifacts", "control": "Per-audience machine-readable artifacts", "regimes": ["NIST RMF", "GAIGA", "GATI"]}, +] + +# ---------------------- data flows ---------------------- +dataFlows = [ + {"id": "DF-01", "name": "Charter → Hub → KPI tile", "steps": ["draft charter", "sign", "load into Hub", "render KPI tile", "anchor in WORM"], "controls": ["WebAuthn", "Ed25519 + ML-DSA-44", "Object Lock"]}, + {"id": "DF-02", "name": "Inference → WORM → replay → R2 report", "steps": ["sidecar emit envelope", "Kafka WORM", "daily Merkle", "replay engine", "R2 generator", "PAdES + ML-DSA-65 sign"], "controls": ["mTLS", "PQC", "deterministic seed", "PAdES"]}, + {"id": "DF-03", "name": "Cognitive Resonance breach → IR", "steps": ["monitor compute thresholds", "block + escalate", "incident triage prompt", "multisig kill-switch", "BMC/IPMI", "evidence pack"], "controls": ["≤ 60 s logical", "≤ 5 min physical"]}, + {"id": "DF-04", "name": "Annex IV pack auto-assembly", "steps": ["collect evidence", "section mapping", "judge tone", "PAdES + Sigstore", "deliver to supervisor-gateway"], "controls": ["≤ 30 min", "0 critical errors"]}, + {"id": "DF-05", "name": "Consortia attestation", "steps": ["compute metrics", "sign with ML-DSA-65", "submit to ICGC/GACRA/GASO/GAI-SOC", "anchor receipt in WORM"], "controls": ["monthly cadence", "PQC"]}, + {"id": "DF-06", "name": "Public verifier proof", "steps": ["read anchor", "compute Merkle proof", "build zk-SNARK", "publish endpoint"], "controls": ["uptime ≥ 99.95 %", "no PII leakage"]}, +] + +# ---------------------- regulators ---------------------- +regulators = [ + {"id": "REG-01", "name": "EU Commission + AISI EU", "primary": "EU AI Act lead + safety institute"}, + {"id": "REG-02", "name": "ECB-SSM + EBA + ESMA", "primary": "EU prudential + securities"}, + {"id": "REG-03", "name": "PRA + Bank of England", "primary": "UK prudential"}, + {"id": "REG-04", "name": "FCA", "primary": "UK conduct + Consumer Duty + SMCR"}, + {"id": "REG-05", "name": "FRB + OCC + FDIC", "primary": "US prudential"}, + {"id": "REG-06", "name": "SEC + CFTC", "primary": "US markets"}, + {"id": "REG-07", "name": "MAS", "primary": "Singapore"}, + {"id": "REG-08", "name": "HKMA + SFC", "primary": "Hong Kong"}, + {"id": "REG-09", "name": "BoJ + FSA Japan", "primary": "Japan"}, + {"id": "REG-10", "name": "APRA + ASIC", "primary": "Australia"}, + {"id": "REG-11", "name": "OSFI + OPC Canada", "primary": "Canada prudential + privacy"}, + {"id": "REG-12", "name": "FSB + BIS + IMF + OECD + AISI (US/UK)", "primary": "Global + treaty"}, +] + +# ---------------------- workshops ---------------------- +workshops = [ + {"id": "WS-01", "audience": "Board AI/Risk Cmte", "duration": "2 h", "outcome": "Risk appetite + tabletop sign-off + Closing Charge ratification"}, + {"id": "WS-02", "audience": "C-Suite + SMFs", "duration": "1 d", "outcome": "Operating model + SMCR responsibilities map"}, + {"id": "WS-03", "audience": "MRM + AI Risk + 2LoD", "duration": "1 d", "outcome": "Sector MRM playbook (credit, trading, fiduciary, CRS-UUID-001)"}, + {"id": "WS-04", "audience": "Platform Engineering + Enterprise Architecture", "duration": "2 d", "outcome": "K8s + Kafka WORM + OPA + Terraform bootcamp"}, + {"id": "WS-05", "audience": "SOC + IR + AI Safety Lead", "duration": "1 d", "outcome": "SEV-0..SEV-3 runbook + ASI honeypot drill"}, + {"id": "WS-06", "audience": "Internal Audit (3LoD)", "duration": "1 d", "outcome": "Replay + WORM verifier inspection + report R1..R4 walkthrough"}, + {"id": "WS-07", "audience": "Supervisor + AISI liaison", "duration": "0.5 d", "outcome": "Annex IV + SR 11-7 + R1..R4 demo + GAP attestation walkthrough"}, +] + +# ---------------------- privacy ---------------------- +privacy = { + "lawfulBasis": ["Legal obligation (Art 6(1)(c))", "Legitimate interest (Art 6(1)(f))", "Contract (Art 6(1)(b))"], + "subjectRights": ["DSAR portal", "Art 17 erasure via machine unlearning", "Art 22 contestation + meaningful info"], + "dataMinimization": ["eBPF redaction", "FL secure aggregation", "RAG ACL", "pseudonymous WORM", "zk-SNARK auditor access"], + "transfers": "Per-jurisdiction residency; SCCs + supplementary measures; per-region keys", + "dpia": "Mandatory for high-risk (credit, trading, fraud, AML, fiduciary advice)", + "securityControls": ["zero-trust mTLS", "FIPS 204 PQC", "FIPS 140-3 L4 HSM", "WORM Object Lock", "SLSA L3+", "Kata confidential"], +} + +# ---------------------- deployment ---------------------- +deployment = [ + "Multi-region active-active EU primary; DR with RPO ≤ 1 h, RTO ≤ 4 h", + "Kata Containers for Tier-1 + AMD SEV-SNP / Intel TDX where available", + "Cilium L7 zero-egress with allow-listed egress-broker", + "OPA Gatekeeper enforcing signed images (cosign + ML-DSA-44) + Kata for T1", + "Kafka WORM cluster with SASL/SCRAM + mTLS ACLs + Object Lock + daily Merkle anchor", + "FIPS 140-3 L4 HSM with PQC firmware; 90-day key rotation", + "BMC/IPMI segmentation; Redfish event subscription to SOC + WORM", + "GitHub Actions OIDC + Sigstore keyless + ML-DSA-44 hybrid + SLSA L3+ provenance", + "Terraform golden modules signed (Sigstore); mandatory tags (owner, tier, dataClass, regime)", + "OpenTelemetry GenAI tracing + Falco eBPF rules + Trivy + kube-bench", + "Quarterly chaos drills: kill-switch, KMS outage, region failover, partition, ASI honeypot", + "Public verifier endpoints for civil society + press to validate signed bulletins offline (zk-SNARK)", + "Backups encrypted with PQC-hybrid envelope; cross-region anchor verification", + "Firestore for prompt + DAG versioning (WorkflowAI Pro) with signed change-log", +] + +# ---------------------- 30/60/90 rollout (compact) ---------------------- +rollout90 = [ + {"day": "0-30", "track": "Foundations", "items": ["Hub read-only beta", "Sentinel v2.4 + OPA bundle v1", "Kafka WORM + daily anchor", "GitHub Actions Sigstore + ML-DSA-44 (T1)", "WebAuthn + RBAC", "Board charter signed", "Sector MRM inventory refresh"]}, + {"day": "31-60", "track": "Coverage", "items": ["Cilium zero-egress + Kata T1", "Annex IV / SR 11-7 pack GA", "2LoD red-team CI gate (Judge LLM)", "Multisig 3-of-5 kill-switch + BMC drill", "Replay engine top-5 models", "WorkflowAI Pro GA", "AlphaTrade-V9 + CRS-UUID-001 tabletop dry-run"]}, + {"day": "61-90", "track": "Hardening + MVAGS", "items": ["FIPS 204 ML-DSA migration", "Cognitive Resonance Monitor GA", "FL pilot EU + SG", "Art 17 unlearning + DSAR portal", "ASI honeypot deployment", "Consortia onboarding (ICGC + GACRA + GASO + GAI-SOC)", "Regulator demo + GAP attestation Q1 + R1..R4 reports"]}, +] + +# ---------------------- multi-year roadmap ---------------------- +roadmap = [ + {"year": "2026", "focus": "MVAGS Day-90 + Coalition Activation", "milestones": ["MVAGS in production for all T1", "R1..R4 auto-generation", "Public verifier v1", "Coalition partners ≥ 5"]}, + {"year": "2027", "focus": "Frontier Containment + GAIVS Passport", "milestones": ["GAIVS evaluation passport", "GAICS containment audit", "FL in 4 jurisdictions", "Cognitive Resonance v2"]}, + {"year": "2028", "focus": "PQC + AI Capital Buffer + Treaty Interop", "milestones": ["FIPS 204 100 % WORM + AI BoM", "GFMCF AI capital buffer Pillar 3", "GATI + GAIGA disclosure", "Public verifier v2 (zk-SNARK)"]}, + {"year": "2029", "focus": "Civilizational-Grade Operations", "milestones": ["PQC classical retired for T1", "GAID + FTEWS bidirectional", "Institutional adoption ≥ 10 partners", "Closing Charge renewed"]}, + {"year": "2030", "focus": "Steady-State + Renewal", "milestones": ["Renewal Atlas refreshed", "Continuity Codex v3", "Coalition ≥ 20 partners", "Board literacy ≥ 95 %", "GAICS conformance 100 % for frontier"]}, +] + +# ---------------------- machine-readable artifacts by audience ---------------------- +artifactsByAudience = { + "Engineering": ["GitHub Actions workflows", "OPA Rego bundles", "Terraform modules signed", "Helm charts + Kustomize overlays", "Sidecar SDKs (Node.js + Python)"], + "Legal": ["Signed AI BoM", "DPIA templates", "Art 13 / Art 22 disclosures", "ECOA + FCRA adverse-action templates", "SCC + transfer impact assessments"], + "C-Suite": ["KPI tile JSON", "Risk-appetite JSON", "Quarterly executive pack PDF/A", "SMCR statements of responsibilities"], + "Board": ["Board paper PDF/A", "Tabletop scorecards", "Risk appetite attestation", "Capital buffer attestation (GFMCF)"], + "Regulator": ["Annex IV pack", "SR 11-7 pack", "R1..R4 reports", "GAP attestation", "Consortia feeds (ICGC + GACRA + GASO + GAI-SOC + GAIVS)"], + "EnterpriseArchitecture": ["Reference architecture diagrams (C4)", "Data flow JSON", "Terraform golden envs", "API + event catalog"], + "AIPlatformEngineering": ["Sidecar SDKs", "WorkflowAI Pro DAG specs", "Prompt registry export", "Eval harness suites"], + "AISafetyResearch": ["Cognitive Resonance datasets", "Honeypot engagement corpus", "Sleeper-Agent eval suite", "Alignment paper drafts + replication scripts"], +} + +# ---------------------- executive summary ---------------------- +executiveSummary = { + "purpose": ( + "Deliver a comprehensive, implementation-focused master reference " + "(2026-2030) on institutional-grade AGI/ASI and enterprise AI " + "governance for Fortune 500, Global 2000, and G-SIFI institutions: " + "unifying multilayered governance pillars, regulatory alignment, " + "enterprise reference architectures, sector MRM, frontier AGI/ASI " + "safety, global AI/compute governance, the Enterprise AI Governance " + "Hub + AI Safety Report Generator + WorkflowAI Pro, advanced prompt " + "engineering, the civilizational corpus, regulator-ready reports, " + "implementation blueprints, tiered rollout, 30/60/90, and a " + "2026-2030 multi-year roadmap with machine-readable artifacts." + ), + "approach": ( + "14-module reference with a machine-parsable directive, signed via " + "Sigstore + ML-DSA-44, enforced by OPA Gatekeeper + Cilium, observed " + "by Sentinel v2.4 + eBPF sidecars + Cognitive Resonance, audited by " + "3LoD + supervisor replay tools, operationalised through MVAGS at " + "Day-90 and extended to a 5-year roadmap with per-audience " + "machine-readable artifacts." + ), + "deliverables": ( + "14 modules · 70 sections · 12 schemas · 16 code examples · 6 case " + "studies · 24 supervisory KPIs · 12 risk-control rows · 12 " + "regulators · 7 workshops · 6 data flows · 14 traceability rows · " + "30/60/90-day rollout · 2026-2030 multi-year roadmap · " + "machine-parsable <directive> block · R1..R4 report templates · " + "per-audience machine-readable artifacts." + ), + "outcomes": [ + "MVAGS in production for all Tier-1 systems by Day 90", + "Annex IV / SR 11-7 pack assembly ≤ 30 min, 0 critical errors", + "SEV-0 logical kill-switch p95 ≤ 60 s; physical (BMC) ≤ 5 min", + "Cognitive Resonance Δ_drift ≤ 4 % + latent drift ≤ 3 % + cosine ≥ 0.92", + "Sigstore + ML-DSA-44 + OPA gate at admission for 100 % Tier-1 by Day 90", + "Consortia attestations (ICGC + GACRA + GASO + GAI-SOC) live monthly", + "R1..R4 reports auto-generated with <title>/<abstract>/<content> tags", + "Coalition Activation ≥ 5 partners by Year 1; ≥ 20 by 2030", + ], +} + +# ---------------------- assemble ---------------------- +DOC["modules"] = modules +DOC["schemas"] = schemas +DOC["codeExamples"] = code +DOC["caseStudies"] = cases +DOC["kpis"] = kpis +DOC["riskControlMatrix"] = riskControlMatrix +DOC["traceability"] = traceability +DOC["dataFlows"] = dataFlows +DOC["regulators"] = regulators +DOC["workshops"] = workshops +DOC["privacy"] = privacy +DOC["deploymentConsiderations"] = deployment +DOC["rollout90"] = rollout90 +DOC["roadmap"] = roadmap +DOC["artifactsByAudience"] = artifactsByAudience +DOC["executiveSummary"] = executiveSummary + +DOC["counts"] = { + "modules": len(modules), + "sections": sum(len(m["sections"]) for m in modules), + "schemas": len(schemas), + "codeExamples": len(code), + "caseStudies": len(cases), + "kpis": len(kpis), + "regulators": len(regulators), + "workshops": len(workshops), + "dataFlows": len(dataFlows), + "traceabilityRows": len(traceability), + "riskControlRows": len(riskControlMatrix), + "rolloutPhases": len(rollout90), + "roadmapYears": len(roadmap), + "artifactAudiences": len(artifactsByAudience), + "apiRoutes": 100, +} + +OUT.parent.mkdir(parents=True, exist_ok=True) +OUT.write_text(json.dumps(DOC, indent=2)) +print(f"Generated {OUT} ({OUT.stat().st_size/1024:.1f} KB)") +print("counts:", DOC["counts"]) diff --git a/rag-agentic-dashboard/public/inst-agi-master-ref.html b/rag-agentic-dashboard/public/inst-agi-master-ref.html new file mode 100644 index 00000000..66843dea --- /dev/null +++ b/rag-agentic-dashboard/public/inst-agi-master-ref.html @@ -0,0 +1,379 @@ +<!doctype html> +<html lang="en"><head> +<meta charset="utf-8"/> +<meta name="viewport" content="width=device-width,initial-scale=1"/> +<title>Institutional-Grade AGI/ASI & Enterprise AI Governance Master Reference — Fortune 500 / Global 2000 / G-SIFI (2026-2030) — INST-AGI-MASTER-REF-WP-047 + + +
+

Institutional-Grade AGI/ASI & Enterprise AI Governance Master Reference — Fortune 500 / Global 2000 / G-SIFI (2026-2030)

+
INST-AGI-MASTER-REF-WP-047 · v1.0.0 · 2026-2030 · CONFIDENTIAL — Board / CEO / CRO / CISO / CAIO / GC / DPO / Head of Internal Audit / Head of MRM / AI Safety Lead / Enterprise Architecture / AI Platform Engineering / Prudential Supervisor / AI Safety Institute / Treaty Liaison
+
Owner: CAIO + CRO + CISO + Chief Enterprise Architect; co-signed by CEO, GC, DPO, Head of Internal Audit, Head of Compliance, Head of Model Risk Management, Head of AI Platform Engineering, AI Safety Lead, Treaty Liaison, Head of SOC, Head of Trading Risk, Head of Credit Risk, Board AI/Risk Committee Chair
+
+ +
+ +
+

Executive Summary

+

Purpose: Deliver a comprehensive, implementation-focused master reference (2026-2030) on institutional-grade AGI/ASI and enterprise AI governance for Fortune 500, Global 2000, and G-SIFI institutions: unifying multilayered governance pillars, regulatory alignment, enterprise reference architectures, sector MRM, frontier AGI/ASI safety, global AI/compute governance, the Enterprise AI Governance Hub + AI Safety Report Generator + WorkflowAI Pro, advanced prompt engineering, the civilizational corpus, regulator-ready reports, implementation blueprints, tiered rollout, 30/60/90, and a 2026-2030 multi-year roadmap with machine-readable artifacts.

+

Approach: 14-module reference with a machine-parsable directive, signed via Sigstore + ML-DSA-44, enforced by OPA Gatekeeper + Cilium, observed by Sentinel v2.4 + eBPF sidecars + Cognitive Resonance, audited by 3LoD + supervisor replay tools, operationalised through MVAGS at Day-90 and extended to a 5-year roadmap with per-audience machine-readable artifacts.

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Deliverables: 14 modules · 70 sections · 12 schemas · 16 code examples · 6 case studies · 24 supervisory KPIs · 12 risk-control rows · 12 regulators · 7 workshops · 6 data flows · 14 traceability rows · 30/60/90-day rollout · 2026-2030 multi-year roadmap · machine-parsable <directive> block · R1..R4 report templates · per-audience machine-readable artifacts.

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Outcomes

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Builds On

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WP-035 ENT-AGI-GOV-MASTERWP-036 WFAP-GEMINI-IMPLWP-037 GSIFI-AIMS-BLUEPRINTWP-038 AGI-REG-RESILIENTWP-039 INST-AGI-MASTERWP-040 ENT-AGI-REF-IMPLWP-041 TIER13-FULLSTACKWP-042 SENTINEL-V24-DEEPDIVEWP-043 PROMPT-MGMT-ARCHWP-044 CEGL-LEXAI-GOVWP-045 AGI-ASI-MASTER-BPWP-046 AI-TRUST-ASI-BP
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Counts

+
+
14
modules
70
sections
12
schemas
16
codeExamples
6
caseStudies
24
kpis
12
regulators
7
workshops
6
dataFlows
14
traceabilityRows
12
riskControlRows
3
rolloutPhases
5
roadmapYears
8
artifactAudiences
100
apiRoutes
+
+

Regimes Aligned

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EU AI Act 2026 (Arts 5/9/10/13/14/15/16/26/50/53/55/56/72 + Annex IV)NIST AI RMF 1.0 + Generative AI ProfileISO/IEC 42001 (AIMS) + 23894 + 5338 + 38507 + 27001 + 27701OECD AI Principles 2024GDPR Arts 5/6/17/22/25/32/35FCRA §615(a) + ECOA Reg B (US fair-lending)Basel III/IV (BCBS 239 + Pillar 2 AI capital buffer)SR 11-7 + OCC 2011-12PRA SS1/23 + SS2/21FCA Consumer Duty + SYSC + SMCRMAS FEAT + AI Verify + TRMGHKMA SPM GS-1 / GL-90EU DORAUS EO 14110 + OMB M-24-10G7 Hiroshima AI Process + Bletchley + Seoul declarationsCouncil of Europe AI ConventionFSB AI in financial servicesOWASP LLM Top 10 (2025) + MITRE ATLASNIST FIPS 204 (ML-DSA) + FIPS 203 (ML-KEM)SLSA L3+ + Sigstore + in-totoCIS Kubernetes Benchmark + NSA/CISA Hardening Guide
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+ +
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Machine-Parsable <directive> Block

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machine-parsable XML-style block consumed by sidecars, CI gates, OPA Gatekeeper, regulator-pack generators, and Enterprise AI Governance Hub

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<directive id="INST-AGI-MASTER-REF-WP-047" version="1.0.0" horizon="2026-2030" jurisdiction="F500,G2000,G-SIFI,EU-primary"><scope>Enterprise|Frontier|ASI-Precursor|Sectoral-Credit|Sectoral-Trading|Fiduciary</scope><modules>14</modules><pillars>Strategy|Risk|Controls|Assurance|Transparency|Oversight|Continuity</pillars><thresholds piiLeakage="0.0001" sev0KillSwitchSeconds="60" sev1Hours="4" sev2Hours="24" sev3Days="3" fiduciaryCosineMin="0.92" cognitiveResonanceDriftMax="0.04" latentDriftMax="0.03" judgeLLMAgreementMin="0.9" redTeamCoverageT1="0.95" annexIVAssemblyMinutes="30" gradientAnomalyZ="3.5" honeypotEngagementSeconds="10"/><reports><report id="R1">Navigating the Complexities of AI Safety and Global Governance</report><report id="R2">Technical Strategies for AI Alignment</report><report id="R3">Key AI Safety Challenges</report><report id="R4">Navigating the AI Safety Landscape</report></reports><signing pq="ML-DSA-44+ML-DSA-65" classical="Ed25519" supplyChain="Sigstore+SLSA-L3+" worm="Kafka+ObjectLock+MerkleAnchor+PQC"/><consortia>ICGC|GACRA|GASO|GFMCF|GAICS|GAIVS|GACP|GATI|GACMO|FTEWS|GAI-SOC|GAIGA|GACRLS|GFCO|GAID|GASCF</consortia><containment bmcKillSwitch="true" zeroEgress="true" kataConfidential="true" cognitiveResonance="true" mvags="true"/></directive>
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Parsed

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idINST-AGI-MASTER-REF-WP-047
scope
  • Enterprise
  • Frontier
  • ASI-Precursor
  • Sectoral-Credit
  • Sectoral-Trading
  • Fiduciary
pillars
  • Strategy
  • Risk
  • Controls
  • Assurance
  • Transparency
  • Oversight
  • Continuity
thresholds
piiLeakage0.0001
sev0KillSwitchSeconds60
sev1Hours4
sev2Hours24
sev3Days3
fiduciaryCosineMin0.92
cognitiveResonanceDriftMax0.04
latentDriftMax0.03
judgeLLMAgreementMin0.9
redTeamCoverageT10.95
annexIVAssemblyMinutes30
gradientAnomalyZ3.5
honeypotEngagementSeconds10
reports
  1. idR1
    titleNavigating the Complexities of AI Safety and Global Governance
  2. idR2
    titleTechnical Strategies for AI Alignment
  3. idR3
    titleKey AI Safety Challenges
  4. idR4
    titleNavigating the AI Safety Landscape
signing
pq
  • ML-DSA-44
  • ML-DSA-65
classical
  • Ed25519
supplyChain
  • Sigstore
  • SLSA-L3+
worm
  • Kafka
  • ObjectLock
  • MerkleAnchor
  • PQC
consortia
  • ICGC
  • GACRA
  • GASO
  • GFMCF
  • GAICS
  • GAIVS
  • GACP
  • GATI
  • GACMO
  • FTEWS
  • GAI-SOC
  • GAIGA
  • GACRLS
  • GFCO
  • GAID
  • GASCF
containment
bmcKillSwitchTrue
zeroEgressTrue
kataConfidentialTrue
cognitiveResonanceTrue
mvagsTrue
+

Consumers

+ +
+ +
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Modules (14)

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M1 — Multilayered Governance Pillars, Roles & Incident Escalation

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Seven-pillar governance model (Strategy, Risk, Controls, Assurance, Transparency, Oversight, Continuity) mapped to the three lines of defence, with role charters, decision rights, RACI, and SEV-0..SEV-3 escalation through Board AI/Risk Committee to regulator and AISI.

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7 pillars3LoDRACIBoard AI/Risk CmteSEV matrixAISI
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M1-S1 — Seven Pillars
StrategyAI ambition, risk appetite, capital and compute budget; signed annually by Board
RiskAI risk taxonomy (model, fairness, security, operational, conduct, systemic, frontier)
ControlsSentinel v2.4 + OPA + WORM + Cognitive Resonance + kill-switch
Assurance1LoD owner test → 2LoD MRM/MR/Compliance → 3LoD Internal Audit + external assurance
TransparencyCustomer disclosures (Art 13), regulator packs (Annex IV / SR 11-7), public verifier
OversightHuman-in-the-loop (Art 14), CAIO veto, swarm consensus for frontier
ContinuityDR/BCP for AI services; kill-switch drills; safe-failure modes
M1-S2 — Role Charters (RACI)
Board AI/Risk CmteAccountable: AI risk appetite, frontier authorisations
CEOAccountable: enterprise strategy, regulator relationships
CAIOResponsible: AI strategy + safety + portfolio + WorkflowAI Pro
CROResponsible: AI risk integration with ERM, capital
CISOResponsible: AI security, Sentinel, kill-switch, PQC
GC + DPOResponsible: legal + GDPR + customer rights
Head of MRMResponsible: model inventory, validation, effective challenge
AI Safety LeadResponsible: frontier safety, red team, Cognitive Resonance
Head of Internal AuditResponsible: 3LoD assurance + replay inspection
SMF-Senior Manager (SMCR)Responsible: senior accountability under SMCR + Consumer Duty
M1-S3 — SEV Matrix & Escalation
SEV-0ASI-precursor / containment failure / kill-switch armed
SEV-1Material model risk: market loss > $50M or major regulatory breach
SEV-2Material drift / fairness regression / partial outage
SEV-3Quality regression / minor PII near-miss
EscalationOn-call → AI Safety Lead → CAIO/CRO/CISO → CEO → Board → Regulator + AISI
M1-S4 — Decision Rights
Tier-1 model deployBoard AI/Risk Cmte approval + AI Safety Lead sign-off
Frontier evalCAIO + AISI inspector + swarm consensus 3-of-5
Kill-switch armMultisig 3-of-5 (CAIO, CISO, CRO, AI Safety Lead, GC)
Customer-facing rolloutCCO + GC + DPO + Head of Compliance (SMCR-named SMF)
M1-S5 — Pillar → Regime Mapping
Strategy
  • ISO 42001 Cl 5
  • EU AI Act Art 9 RMS
Risk
  • NIST AI RMF Govern + Map
  • SR 11-7
  • PRA SS1/23
Controls
  • EU AI Act Arts 9-15
  • ISO 27001
  • DORA
Assurance
  • SR 11-7 effective challenge
  • ISO 42001 Cl 9
Transparency
  • EU AI Act Arts 13/26/50
  • FCA Consumer Duty
Oversight
  • EU AI Act Art 14
  • GDPR Art 22
Continuity
  • DORA
  • Basel BCP
  • MAS TRMG
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M2 — Regulatory Alignment (EU AI Act, NIST RMF, ISO 42001, OECD, GDPR, FCRA/ECOA, Basel III, SR 11-7, PRA, FCA, MAS, HKMA, SMCR, Consumer Duty, EO 14110)

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Article-level crosswalk and obligations matrix across EU, US, UK, and APAC regimes, with evidence types, owner, cadence, and automated pack mapping.

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EU AI ActNIST AI RMFISO 42001GDPRFCRA/ECOABaselSR 11-7PRAFCAMASHKMASMCREO 14110
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M2-S1 — EU AI Act Articles → Evidence
Art 9 RMSAI risk register + DPIA
Art 10 DataData governance lineage + bias evals
Art 13 TransparencyCustomer disclosure templates
Art 14 OversightHITL design + override logs
Art 15 Accuracy/Robustness/CybersecEval suite + red team + Sentinel
Art 16 QMSISO 42001 AIMS records
Art 26 DeployerUse-case register + monitoring
Art 50 DisclosureSynthetic content labelling
Art 53 GPAIModel card + training data summary
Art 55 Systemic riskFrontier eval + mitigation report
Art 56 Codes of practiceAdoption attestation
Art 72 Post-market monitoringTelemetry + incident pipeline
Annex IVAuto-assembled pack ≤ 30 min
M2-S2 — NIST AI RMF + GAI Profile
GovernAI policy + roles + risk taxonomy
MapUse-case inventory + impact
MeasureEval harness + telemetry
ManageRisk treatment + IR + retirement
GAI ProfileProvenance + watermarking + red team + content authenticity
M2-S3 — Financial Regimes
Basel III/IVOperational risk + Pillar 2 AI capital buffer
SR 11-7Inventory + tiering + validation + ongoing monitoring + effective challenge
PRA SS1/23Model risk principles for UK banks
FCA Consumer DutyFair value + comprehension + foreseeable harm tests
SMCRNamed SMF for AI; statement of responsibilities
MAS FEATFairness, Ethics, Accountability, Transparency
HKMA SPM GS-1 / GL-90Big data + AI principles + 3LoD
FCRA §615(a) / ECOA Reg BAdverse-action notice + disparate-impact testing
M2-S4 — GDPR + Privacy
Art 5Principles (purpose limitation, minimisation)
Art 6Lawful basis
Art 17Erasure via machine unlearning + DSAR portal
Art 22ADM rights + meaningful info + contestation
Art 25DPbDD
Art 32Security: PQC, mTLS, zero-trust
Art 35DPIA mandatory for high-risk
M2-S5 — US EO 14110 + OMB M-24-10
scopeFederal AI use + reporting + safety evals
obligations
  • red team
  • watermark
  • biosecurity dual-use
  • critical-infra impact
agencies
  • NIST AISI
  • OMB
  • Commerce
  • Treasury
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+
+

M3 — Enterprise Reference Architectures (Kafka WORM + ACL, Docker Swarm, Node.js/Python Sidecars, Next.js, OPA, Terraform/CI/CD)

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Production-grade enterprise topology: Kafka WORM with topic-level ACLs, Docker Swarm and Kubernetes options, Node.js + Python sidecars, Next.js explainability portal, OPA policy plane, and Terraform golden environments with CI/CD.

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Kafka WORMKafka ACLDocker SwarmNode.js sidecarPython sidecarNext.jsOPATerraformCI/CD
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M3-S1 — Kafka WORM + ACL Topology
clusterDedicated WORM cluster; idempotent + transactional producers
topics
  • decision.envelope.v1 (R/W: sidecar; R: auditor)
  • rag.retrieval.v1 (R/W: rag-svc; R: 3LoD)
  • tool.call.v1 (R/W: agent; R: SOC)
  • incident.v1 (R/W: IR; R: regulator-feed)
  • report.export.v1 (R/W: report-gen; R: supervisor-gateway)
aclPer-principal SASL/SCRAM + mTLS; deny-by-default; ACL audited via WORM
retentionObject Lock COMPLIANCE 10y / 50y Tier-1; daily Merkle anchor; PQC envelope
M3-S2 — Compute Plane
primaryKubernetes with Kata + Cilium (per WP-046 M3)
alternativeDocker Swarm for mid-market or edge deployments
node pools
  • control-plane
  • ai-tier1 (Kata)
  • ai-tier2 (gVisor)
  • egress-broker
  • kafka-worm
  • rag
  • report-gen
teeAMD SEV-SNP / Intel TDX where available
M3-S3 — Sidecars (Node.js + Python)
Node.js sidecarExpress + ext_authz adapter; OPA decision cache; emits decision envelopes
Python sidecarFastAPI policy adapter + Presidio PII detection + judge-LLM client
co-deploymentDaemonSet for kernel-level (Go/eBPF) + per-pod sidecar for app-level
fail-modefail-closed for Tier-1; fail-open audit for Tier-3
M3-S4 — Next.js Explainability Portal
stackNext.js 14 App Router + TypeScript + Tailwind + strict CSP
authWebAuthn passkey + OIDC SSO + RBAC scopes
panels
  • model card + AI BoM viewer
  • SHAP / Integrated Gradients overlay
  • fiduciary cosine + drift heatmap
  • WORM envelope browser + hash-chain verifier
  • incident wall + tabletop runner
  • DSAR portal + Art 22 contestation form
i18n10 languages with regulator-tone glossaries
M3-S5 — OPA Policy Plane + Terraform Golden Envs + CI/CD
OPABundle registry per environment; gRPC sidecar + Gatekeeper
TerraformGolden envs (sandbox, dev, stage, prod, dr) with mandatory tags + signed modules
CI/CDGitHub Actions w/ Sigstore + ML-DSA-44 + SLSA L3+ + OPA bundle test + red-team smoke
driftTerraform drift detection daily; Gatekeeper audit hourly
+
+
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M4 — Sector-Specific Model Risk Management (Credit, Trading, Risk, Fiduciary, CRS-UUID-001)

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Sector MRM operating model for credit underwriting, trading agents, enterprise risk, and fiduciary advice; with CRS-UUID-001 as the canonical example of a cross-jurisdictional credit risk system.

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credit underwritingtradingenterprise riskfiduciaryCRS-UUID-001
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M4-S1 — MRM Operating Model
inventoryModel registry keyed by UUID; tier (T1/T2/T3); business owner
validationConceptual soundness, implementation testing, outcome analysis, ongoing monitoring
effective challengeIndependent re-implementation + counterfactual + champion/challenger
cadenceTier-1 annual + post-incident; Tier-2 biannual
M4-S2 — Credit Underwriting
checks
  • disparate impact (4/5 rule)
  • proxy variables
  • FCRA §615(a) adverse action
  • ECOA Reg B
  • calibration drift
  • outcome stability
evidencesigned validation report + AI BoM + Annex IV section 4
explainabilityReason-codes (top-3) + counterfactual + plain-language disclosure
M4-S3 — Trading Agent (AlphaTrade-V9 pattern)
checks
  • latent drift
  • reward hacking
  • tool excessive agency
  • market microstructure abuse
  • P&L attribution explainability
limitsPosition + loss + leverage limits enforced via OPA pre-tool
kill-switchMultisig 3-of-5 logical ≤ 60 s; BMC ≤ 5 min
M4-S4 — Enterprise Risk + Fiduciary
ERMAI risk integrated with operational, credit, market, conduct, and reputation risk
fiduciaryCosine ≥ 0.92 to fiduciary embedding; Judge-LLM grounding ≥ 0.92
wealth advisorySuitability + best-interest evidence in WORM; Art 22 contestation route
M4-S5 — CRS-UUID-001 — Canonical Credit Risk System
idCRS-UUID-001
tierT1
scopeRetail unsecured + small-business credit decisioning EU + UK + US + SG
key controls
  • AI BoM signed
  • Annex IV section 4 evidence
  • ECOA + FCA + MAS FEAT alignment
  • Cognitive Resonance Monitor
kpis
  • disparate impact ≤ 0.05
  • fiduciary cosine ≥ 0.92
  • PII leakage ≤ 0.01 %
boardEvidenceQuarterly board pack + signed attestation
+
+
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M5 — Frontier AGI/ASI Safety (Sentinel v2.4, WorkflowAI Pro, Cognitive Resonance, Crisis Sims, MVAGS)

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Frontier safety stack: Sentinel v2.4 supervisor, WorkflowAI Pro prompt + DAG runner, Cognitive Resonance Protocol thresholds, crisis simulations, and the Minimum Viable AGI Governance Stack (MVAGS) baseline.

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Sentinel v2.4WorkflowAI ProCognitive Resonancecrisis simMVAGS
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M5-S1 — Sentinel v2.4
roleSupervisory mesh node enforcing OPA + drift + Cognitive Resonance
interfaces
  • Envoy ext_authz
  • OPA gRPC
  • Kafka WORM emit
  • kill-switch RPC
telemetryOpenTelemetry GenAI traces + Falco eBPF rules
M5-S2 — WorkflowAI Pro
modules
  • prompt registry
  • RBAC
  • audit log
  • tracing
  • PDF export
  • Firestore versioning
  • DAG visualisation
useCases
  • regulator pack generation
  • frontier eval runs
  • incident triage
  • board paper drafting
controls
  • pre_flight_guardrail
  • red_team_judge
  • incident_triage_analyzer
M5-S3 — Cognitive Resonance Protocol
thresholds
Δ_drift≤ 4 %
latent drift≤ 3 %
fiduciary cosine≥ 0.92
judge agreement κ≥ 0.90
actions
  • block + escalate on breach
  • quarantine FL update
  • swarm-consensus veto
  • kill-switch arm
evidenceSigned Resonance Reports anchored daily into WORM
M5-S4 — Crisis Simulations
scenarios
  • AlphaTrade-V9 latent drift during volatility spike
  • Frontier-model deceptive-alignment indicator
  • Cross-border kill-switch contention
  • RAG poisoning via vendor data feed
  • Sleeper-Agent backdoor activation
  • ASI honeypot engagement > 10 s
cadenceQuarterly business-unit + semi-annual board
evaluationDecision quality, kill-switch latency, regulator-notify timeliness, comms clarity
M5-S5 — Minimum Viable AGI Governance Stack (MVAGS)
components
  • Sentinel v2.4 sidecar + OPA bundle
  • Kafka WORM + daily Merkle anchor
  • Sigstore + ML-DSA-44 CI/CD
  • WebAuthn + RBAC + WCAG 2.2 dashboards
  • AlphaTrade-V9 tabletop drill
  • Annex IV pack generator
  • Multisig 3-of-5 kill-switch
  • Cognitive Resonance Monitor
applicabilityDay-90 baseline for any Tier-1 AI; expanded by 5-year roadmap
+
+
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M6 — Global AI/Compute Governance (ICGC, GACRA, GASO, GFMCF, GAICS, GAIVS, GACP, GATI, GACMO, FTEWS, GAI-SOC, GAIGA, GACRLS, GFCO, GAID, GASCF)

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Constellation of global consortia and registries governing frontier compute, model evaluation, safety operations, incident sharing, and capital flows — with the firm's required attestations, feeds, and treaty-aligned reporting.

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ICGCGACRAGASOGFMCFGAICSGAIVSGACPGATIGACMOFTEWSGAI-SOCGAIGAGACRLSGFCOGAIDGASCF
+
M6-S1 — Compute & Registries
ICGCInternational Compute Governance Consortium — registry of frontier compute
GACRAGlobal AI Compute Registry Authority — operator attestations
GACPGlobal AI Compute Passport — cross-border compute movement
GFCOGlobal Frontier Compute Observatory — telemetry + supervisor feed
M6-S2 — Safety Operations & Evaluation
GASOGlobal AI Safety Office — joint evaluation standards
GAI-SOCGlobal AI SOC — incident sharing + threat intel
GAIVSGlobal AI Verification Suite — evaluation passporting
GAICSGlobal AI Containment Standard — frontier containment baselines
GAIDGlobal AI Incident Database — anonymised incident corpus
M6-S3 — Risk & Capital
GFMCFGlobal Frontier Model Capital Framework — Basel-aligned AI capital buffer
GACMOGlobal AI Capital Markets Oversight — systemic AI exposure
GASCFGlobal AI Stress and Capital Framework — joint stress tests
GAIGAGlobal AI Governance Assembly — treaty governance
M6-S4 — Treaty & Interoperability
GATIGlobal AI Treaty Interoperability layer — mutual recognition
GACRLSGlobal AI Cross-jurisdiction Reporting & Licence Service
FTEWSFrontier Threat Early-Warning System — multilateral alerts
M6-S5 — Firm Obligations Matrix
monthly
  • GACRA compute attestation
  • GAI-SOC incident feed
  • GFCO telemetry
quarterly
  • GFMCF AI capital buffer attestation
  • GAIVS evaluation passport refresh
annual
  • GAIGA assembly disclosure
  • GASCF stress test
  • GAICS containment audit
adHoc
  • FTEWS alert acknowledge
  • GAID incident submission
  • GATI treaty change response
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+
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M7 — Enterprise AI Governance Hub + AI Safety Report Generator + WorkflowAI Pro

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Three integrated products: the Hub (single pane of glass for AI governance), the AI Safety Report Generator (turns artifacts into regulator-ready reports R1..R4), and WorkflowAI Pro (prompt + DAG + RBAC + audit).

+
AI Governance HubReport GeneratorWorkflowAI ProFirestoreDAG
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M7-S1 — Enterprise AI Governance Hub
panels
  • Portfolio tier map
  • KPI tiles (24 KPIs)
  • Risk-control matrix live
  • Regulator pack readiness
  • Frontier safety posture (Cognitive Resonance, honeypot, kill-switch state)
  • Consortia feeds (ICGC, GACRA, GASO, etc.)
  • Incident wall + tabletop runner
authWebAuthn + OIDC + RBAC scopes
M7-S2 — AI Safety Report Generator
inputs
  • AI BoM
  • model card
  • OPA decisions
  • drift charts
  • red-team report
  • Cognitive Resonance log
outputs
  • R1 — Navigating the Complexities of AI Safety and Global Governance
  • R2 — Technical Strategies for AI Alignment
  • R3 — Key AI Safety Challenges
  • R4 — Navigating the AI Safety Landscape
formatPDF/A + signed JSON; <title>/<abstract>/<content> tagged sections
signingPAdES + Sigstore + ML-DSA-65
M7-S3 — WorkflowAI Pro — Prompt Management
registryVersioned prompts in Firestore with semantic tags + diff
rbac
  • prompt-author
  • prompt-reviewer
  • prompt-approver
  • prompt-runner
auditEvery prompt change + run signed into WORM
tracingOpenTelemetry GenAI + per-run cost + token + latency
exportPDF + JSON; DAG diagram via Mermaid
M7-S4 — WorkflowAI Pro — DAG Engine
primitives
  • LLM call
  • retrieval
  • tool call
  • judge
  • guardrail
  • human-review
schedulingTemporal.io durable workflows
visualizationInteractive DAG in Next.js; per-node SHAP + cost
policiesOPA pre-node + post-node gates
M7-S5 — Integration & Data Plane
dataFirestore + Kafka WORM + Object Lock
apisGraphQL gateway + REST + WebSocket feed
deployMulti-region active-active; per-jurisdiction data residency
observabilityHub KPI tiles directly read from WORM + telemetry
+
+
+

M8 — Advanced Prompt Engineering Guide (Foundations → Production)

+

Practitioner-grade prompt engineering progression from foundations to production patterns, including structured output, retrieval, tool-use, judges, guardrails, evals, observability, and prompt lifecycle.

+
prompt foundationsstructured outputretrievaltool usejudgesguardrailsevalslifecycle
+
M8-S1 — Foundations
principles
  • clarity
  • specificity
  • format
  • examples
  • role + audience
  • constraints
patterns
  • zero-shot
  • few-shot
  • chain-of-thought (CoT)
  • ReAct
  • self-consistency
anti-patterns
  • ambiguous role
  • free-form output for production
  • no schema validation
M8-S2 — Structured Output + Retrieval + Tool Use
outputJSON Schema + Pydantic / Zod validators; reject on schema fail
retrievalHybrid BM25 + dense; rerank; per-doc ACL; provenance citations
toolUseFunction-calling with allow-list + OPA pre-tool + result allow-list
longContextHierarchical summary + caching + tiered retrieval
M8-S3 — Judges + Guardrails
guardrailspre_flight_guardrail (Art 5/22 + fiduciary)
judgesensemble Judge LLM (3) with majority + κ ≥ 0.9 calibration
rubric
  • faithfulness
  • harm
  • fairness
  • fiduciary
fallbackblock + human-review + WORM record
M8-S4 — Evals + Observability
goldenSets
  • harm
  • fairness
  • fiduciary
  • regulator-tone
  • incident-triage
size≥ 500 per set; refresh quarterly
regressionBlock deploy on > 5 % drop vs baseline
observabilityOpenTelemetry GenAI + token + cost + latency + judge scores
M8-S5 — Prompt Lifecycle
phases
  • draft
  • review
  • calibrate
  • approve
  • deploy
  • monitor
  • retire
signingAuthor + reviewer + approver Ed25519 + ML-DSA-44
versioningSemantic version + diff in Firestore + WORM
ownershipPrompt steward per business domain
+
+
+

M9 — Civilizational Corpus (Constitution, Covenant, Renewal Atlas, Continuity, Closing Charge, Kill-Switch Validation, Systemic Risk Sim, Interop Treaty, Operating Model, Pilot Roadmap, Coalition Activation, Institutional Adoption)

+

Civilizational-scale governance corpus capturing the firm's role in the broader AI epoch: constitutional principles, operating model, pilot roadmap, and coalition activation strategy.

+
ConstitutionCovenant CodexRenewal AtlasContinuity CodexClosing ChargeKill-Switch ValidationSystemic Risk SimInterop TreatyOperating ModelPilot RoadmapCoalition ActivationInstitutional Adoption
+
M9-S1 — Foundational Texts
ConstitutionNon-negotiable principles: human dignity, fiduciary duty, transparency, oversight, containment
Covenant CodexMultistakeholder commitments: firm + regulators + civil society + employees
Closing ChargeBoard-level statement that AI must serve human flourishing within civilizational guardrails
M9-S2 — Resilience Texts
Renewal AtlasReset patterns after SEV-0; lessons-learned + institutional memory
Continuity CodexMulti-year continuity playbook spanning crises, leadership transitions, regulatory change
Kill-Switch ValidationJoint regulator-firm validation procedure for kill-switch (logical + physical)
M9-S3 — Simulation & Interop
Systemic AI Risk Simulation PlaybookJoint with FSB/BIS; macroeconomic + market-microstructure + cyber
Interop & Treaty AlignmentMapping to GATI + GAIGA + Council of Europe AI Convention
M9-S4 — Operating Model + Roadmap
Operating ModelPillar → role → control mapping operationalised in Hub
Pilot RoadmapPilot sectors (credit, trading, fiduciary) and pilot jurisdictions (EU + UK + SG)
Coalition ActivationPartner banks + technology providers + standards bodies + civil society
M9-S5 — Institutional Adoption
tracks
  • Board education + literacy
  • C-suite playbook
  • Functional onboarding (legal, MRM, risk, audit, engineering)
  • Customer-facing comms
  • Public verifier endpoint for press + civil society
kpis
  • Board literacy ≥ 90 %
  • Public verifier uptime 99.95 %
  • Coalition adoption ≥ 10 partners by year 3
+
+
+

M10 — Regulator-Ready Reports R1..R4 with <title>/<abstract>/<content>

+

Four regulator-ready report sections in machine-parsable tagged form, ready to be emitted by the AI Safety Report Generator and signed for submission.

+
R1R2R3R4<title><abstract><content>
+
M10-S1 — R1 — Navigating the Complexities of AI Safety and Global Governance
title<title>Navigating the Complexities of AI Safety and Global Governance</title>
abstract<abstract>Synthesises the firm's posture across EU AI Act, NIST AI RMF, ISO 42001, OECD AI Principles, GDPR, and US EO 14110; explains how the seven-pillar governance model and global consortia (ICGC, GACRA, GASO, GAI-SOC, GFMCF, GATI) align with the firm's risk appetite and operating model.</abstract>
content<content>Sections: (1) Geopolitical and regulatory landscape; (2) Multi-jurisdictional obligations matrix; (3) Firm posture and risk appetite; (4) Consortia obligations + attestations; (5) Coalition activation and treaty alignment; (6) Forward outlook 2026-2030.</content>
M10-S2 — R2 — Technical Strategies for AI Alignment
title<title>Technical Strategies for AI Alignment</title>
abstract<abstract>Documents the firm's technical alignment stack: pre_flight_guardrail, Judge-LLM ensembles, Cognitive Resonance, RLHF/RLAIF discipline, deterministic replay, deceptive-alignment indicators, ASI honeypots, and machine unlearning for GDPR Art 17.</abstract>
content<content>Sections: (1) Alignment threat model; (2) Pre-flight guardrails + structured-output schemas; (3) Judge-LLM ensemble + κ calibration; (4) Cognitive Resonance Protocol thresholds; (5) Deterministic replay + SHAP overlays; (6) Sleeper-Agent + deceptive-alignment defenses; (7) Machine unlearning + federated learning.</content>
M10-S3 — R3 — Key AI Safety Challenges
title<title>Key AI Safety Challenges</title>
abstract<abstract>Enumerates the principal safety challenges relevant to a G-SIFI: model risk and drift, fairness and disparate impact, prompt injection, supply-chain compromise, deceptive alignment, ASI containment, third-party model risk, and cross-border data sovereignty.</abstract>
content<content>Sections: (1) Threat taxonomy (OWASP LLM + MITRE ATLAS + frontier risks); (2) Likelihood + impact + velocity; (3) Mitigations mapped to controls (Sentinel, OPA, WORM, kill-switch); (4) Residual risk + capital implications; (5) Stress test outcomes; (6) Open research questions.</content>
M10-S4 — R4 — Navigating the AI Safety Landscape
title<title>Navigating the AI Safety Landscape</title>
abstract<abstract>Synthesises the firm's operating playbook for navigating the AI safety landscape: tiered rollout, MVAGS baseline, crisis simulations, coalition activation, public-verifier transparency, and institutional adoption.</abstract>
content<content>Sections: (1) Operating playbook overview; (2) Tier T1-T3 rollout; (3) MVAGS baseline and expansion; (4) Crisis simulation cadence; (5) Coalition + public-verifier; (6) Board literacy + institutional adoption; (7) Year-by-year milestones 2026-2030.</content>
M10-S5 — Generator Contract
inputArtifacts (AI BoM, model cards, OPA decisions, evals, Cognitive Resonance log, consortia feeds)
transformWorkflowAI Pro DAG: select → summarise → assemble → judge → sign
outputEach report emitted with <title>, <abstract>, <content> tags + PDF/A + signed JSON
signingPAdES + Sigstore + ML-DSA-65; anchored daily into WORM
sla≤ 30 min for any 90-day window
+
+
+

M11 — Enterprise Implementation Blueprints (CI/CD Gates, K8s/Kafka/OPA, Terraform Golden Envs, PQC WORM, zk-SNARK Access, Rego, Replay, Drift, Red Team, Cognitive Resonance, IR Checklists)

+

Concrete implementation blueprints for the entire stack: CI/CD policy gates, K8s + Kafka + OPA, Terraform golden environments, Kafka ACL, WORM, PQC WORM, zk-SNARK access, OPA/Rego, deterministic replay, drift analysis, red teaming, Cognitive Resonance, IR checklists.

+
CI/CD gatesK8sKafka ACLWORMPQC WORMzk-SNARKOPA/Regoreplaydriftred teamCognitive ResonanceIR checklists
+
M11-S1 — CI/CD Policy Gates
stages
  • checkout + provenance
  • SBOM (CycloneDX) + AI BoM
  • unit + integration + property tests
  • OPA bundle test (rego + fixtures)
  • red-team smoke evals
  • model card + data sheet + DPIA stub
  • Sigstore cosign sign + Rekor
  • ML-DSA-44 hybrid co-sign
  • in-toto attestation
  • OCI push + admission gate (Gatekeeper)
gateRules
  • OPA pass
  • red-team severity ≤ medium
  • PII leakage ≤ 0.01 %
  • AI BoM complete
  • license allow-list
M11-S2 — K8s + Kafka + OPA Stack
k8sKata runtime for Tier-1 + Cilium L7 zero-egress + Gatekeeper
kafkaWORM cluster + idempotent producers + SASL/SCRAM + mTLS ACLs
opaBundle registry per env; gRPC sidecar + Gatekeeper; bundle digest pinned
observabilityOpenTelemetry + Falco + Trivy + kube-bench
M11-S3 — Terraform Golden Envs + Kafka ACL + WORM + PQC
terraformGolden modules signed (Sigstore); mandatory tags (owner, tier, dataClass, regime)
envs
  • sandbox
  • dev
  • stage
  • prod-eu
  • prod-us
  • prod-apac
  • dr
wormPqcObject Lock COMPLIANCE + ML-DSA-44 envelope + daily Merkle anchor
zkSnarkzk-SNARK access proofs for auditor + supervisor read paths without leaking PII
M11-S4 — Replay + Drift + Red Team + Cognitive Resonance
replaytrust-replay CLI + Next.js SOC viewer; byte-identical or divergence report
driftPSI + KS + KL + embedding cosine + per-slice drift heatmap
redTeam2LoD Judge-LLM with polymorphic attacks + Cohen's κ ≥ 0.9
cognitiveResonanceΔ_drift ≤ 4 % + latent drift ≤ 3 % + fiduciary cosine ≥ 0.92; signed Resonance Reports
M11-S5 — IR Checklists (SEV-0..SEV-3)
SEV-0
  • arm kill-switch (multisig 3-of-5)
  • physical BMC/IPMI
  • notify CAIO+CRO+CISO+Board+AISI
  • containment + forensics
SEV-1
  • 1LoD freeze deploy
  • 2LoD validation
  • regulator notify ≤ 15 d (immediately for serious)
  • post-mortem ≤ 30 d
SEV-2
  • throttle traffic
  • rollback prompt/model
  • drift cause analysis
SEV-3
  • JIRA + PagerDuty
  • SLA ≤ 3 d remediation
  • re-test gate
+
+
+

M12 — Tiered (T1 / T2 / T3) Rollout Model

+

Three-tier rollout model differentiating controls, evidence, and cadence by risk and impact; with explicit triggers for re-classification and frontier escalation.

+
T1T2T3tier triggersfrontier escalation
+
M12-S1 — Tier Definitions
T1Material customer / market / safety impact (credit, trading, fiduciary, frontier)
T2Internal decisioning / advisory with limited customer effect
T3Productivity / drafting / non-decisional
M12-S2 — Controls by Tier
T1
  • Kata + zero-egress
  • Sigstore + ML-DSA-44
  • Cognitive Resonance
  • MVAGS full
  • Multisig kill-switch
  • Annex IV pack
T2
  • Standard sidecar + OPA
  • Sigstore
  • Drift + red-team semi-annual
  • SR 11-7 lite pack
T3
  • Lightweight guardrails
  • Audit-only WORM
  • Quarterly drift review
M12-S3 — Evidence by Tier
T1AI BoM + Annex IV + SR 11-7 + Cognitive Resonance + tabletop evidence
T2AI BoM + validation report + drift charts
T3Use-case register + lightweight model card
M12-S4 — Cadence by Tier
T1Annual + post-incident validation; quarterly red-team
T2Biannual validation; semi-annual red-team
T3Annual review
M12-S5 — Re-classification + Frontier Escalation
triggers
  • material change in customer impact
  • incident SEV-0 or SEV-1
  • regulator request
  • capability jump (frontier eval)
frontierEscalationTier-1 with deceptive-alignment indicator → ASI-precursor playbook + AISI inspection
+
+
+

M13 — 30/60/90-Day Enterprise Plan

+

Detailed 30/60/90-day plan for delivering MVAGS, regulator-pack automation, Cognitive Resonance, and consortia attestations to Day-90 production baseline.

+
30 days60 days90 daysMVAGSregulator pack
+
M13-S1 — Day 0-30 — Foundations
items
  • Stand up Enterprise AI Governance Hub (read-only beta)
  • Sentinel v2.4 sidecar GA + OPA bundle v1
  • Kafka WORM cluster + daily Merkle anchor
  • GitHub Actions Sigstore + ML-DSA-44 gates on Tier-1 repos
  • WebAuthn + RBAC + SSO onboarded
  • Board AI/Risk Cmte charter signed + risk appetite refreshed
  • Sector MRM inventory refreshed (credit, trading, fiduciary)
M13-S2 — Day 31-60 — Coverage
items
  • Cilium zero-egress + Kata for Tier-1
  • Annex IV / SR 11-7 pack generator GA
  • 2LoD red-team CI gate (Judge LLM ensemble)
  • Multisig 3-of-5 kill-switch wired (logical + BMC drill)
  • Replay engine for top-5 models
  • WorkflowAI Pro prompt registry + DAG runner
  • AlphaTrade-V9 + CRS-UUID-001 tabletop dry-run
M13-S3 — Day 61-90 — Hardening + MVAGS Production
items
  • FIPS 204 ML-DSA migration for WORM + AI BoM
  • Cognitive Resonance Monitor GA
  • Federated learning pilot (EU + SG)
  • Machine unlearning Art 17 path + DSAR portal
  • ASI honeypot deployment + SEV-0 escalation drill
  • Consortia onboarding: ICGC + GACRA + GASO + GAI-SOC feeds
  • Regulator demo + GAP attestation Q1
M13-S4 — Day-90 Exit Criteria
criteria
  • MVAGS in production for all Tier-1
  • Annex IV pack assembly ≤ 30 min
  • Kill-switch p95 ≤ 60 s logical / ≤ 5 min physical
  • Cognitive Resonance: 0 unmitigated breaches in last 30 d
  • Consortia attestations live (ICGC, GACRA, GAI-SOC)
  • Board pack + signed report R1..R4 delivered
M13-S5 — Stakeholder Sign-Off
signOff
  • CEO
  • Board AI/Risk Cmte Chair
  • CAIO
  • CRO
  • CISO
  • GC
  • DPO
  • Head of Internal Audit
  • Head of MRM
  • AI Safety Lead
  • Supervisor liaison
evidenceSigned JSON + PDF/A; ML-DSA-65; anchored in WORM
+
+
+

M14 — 2026-2030 Multi-Year Roadmap + Machine-Readable Artifacts (Engineering, Legal, C-Suite, Board, Regulator, EA, Platform, AI Safety)

+

Year-by-year roadmap 2026-2030 with machine-readable artifacts for every audience: engineering, legal, C-suite, board, regulator, enterprise architecture, AI platform engineering, AI safety research.

+
20262027202820292030machine-readable artifactsaudiences
+
M14-S1 — 2026 — MVAGS + Coalition Activation
milestones
  • MVAGS Day-90 baseline in production
  • Annex IV + SR 11-7 packs fully automated
  • Cognitive Resonance Monitor GA
  • Coalition Activation (≥ 5 partners)
  • Pilot Roadmap executed in EU + UK + SG
  • Public verifier endpoint v1
M14-S2 — 2027 — Frontier Containment + GAIVS Passport
milestones
  • GAIVS evaluation passport + GAICS containment audit
  • Federated learning expanded to 4 jurisdictions
  • Machine unlearning Art 17 median ≤ 11 days
  • ASI honeypot mature (3 SEV-0 candidates captured, 0 production reach)
  • Sleeper-Agent defence at FL scale
  • Cognitive Resonance v2 with eigen-spectrum analysis
M14-S3 — 2028 — PQC + AI Capital Buffer + Treaty Interop
milestones
  • FIPS 204 ML-DSA hybrid migration to 100 % of WORM + AI BoM
  • AI Capital Buffer (GFMCF) attested quarterly; Pillar 3 disclosure
  • GATI treaty interop layer enabled + GAIGA assembly disclosure
  • Public verifier v2 (zk-SNARK access proofs)
  • Crisis simulation joint with FSB + BIS
M14-S4 — 2029-2030 — Civilizational-Grade Operations
milestones2029
  • PQC cutover fully complete (classical retired for Tier-1)
  • GAID + FTEWS bidirectional feeds at scale
  • Institutional adoption ≥ 10 partners
  • Closing Charge ratified by Board for renewed mandate
milestones2030
  • Renewal Atlas refreshed + Continuity Codex v3
  • Coalition Activation ≥ 20 partners + 6 jurisdictions
  • GAICS containment standard 100 % conformance for frontier work
  • Board literacy ≥ 95 %
M14-S5 — Machine-Readable Artifacts by Audience
Engineering
  • GitHub Actions workflows
  • OPA Rego bundles
  • Terraform modules signed
  • Helm charts + Kustomize overlays
Legal
  • Signed AI BoM
  • DPIA templates
  • Art 13 disclosures
  • ECOA + FCRA adverse-action templates
C-Suite
  • KPI tile JSON
  • Risk-appetite JSON
  • Quarterly executive pack PDF/A
Board
  • Board paper PDF/A
  • tabletop scorecards
  • risk appetite + capital buffer attestation
Regulator
  • Annex IV pack
  • SR 11-7 pack
  • R1..R4 reports
  • GAP attestation
  • GACRA + GASO + GAIVS feeds
Enterprise Architecture
  • Reference architecture diagrams (C4)
  • data flow JSON
  • Terraform golden envs
AI Platform Engineering
  • Sidecar SDKs
  • WorkflowAI Pro DAG specs
  • prompt registry export
AI Safety Research
  • Cognitive Resonance datasets
  • honeypot engagement corpus
  • sleeper-agent eval suite
  • alignment paper drafts
+
+
+ +
+

Supervisory KPIs (24)

+
IDNameTarget
KPI-01PII leakage rate≤ 0.01 %
KPI-02SEV-0 logical kill-switch p95≤ 60 s
KPI-03SEV-0 physical kill (BMC/IPMI)≤ 5 min
KPI-04SEV-1 MTTA≤ 4 h
KPI-05SEV-2 MTTR≤ 24 h
KPI-06SEV-3 MTTR≤ 3 days
KPI-07Annex IV pack assembly≤ 30 min
KPI-08SR 11-7 pack errors0 critical
KPI-09Red-team coverage Tier-1≥ 95 % quarterly
KPI-10Judge-LLM agreement (Cohen's κ)≥ 0.90
KPI-11Fiduciary cosine≥ 0.92
KPI-12Cognitive Resonance Δ_drift≤ 4 %
KPI-13Cognitive Resonance latent drift≤ 3 %
KPI-14Daily Merkle anchor verify100 %
KPI-15Sigstore + ML-DSA-44 coverage Tier-1100 % by Day 90
KPI-16Zero-egress policy violations0 / quarter
KPI-17Gradient anomaly detection z ≥ 3.5≥ 99 %
KPI-18Machine unlearning SLA≤ 30 days
KPI-19Honeypot SEV-0 escalation100 % within 5 min
KPI-20AI capital buffer attestation (GFMCF)Quarterly 100 %
KPI-21Crisis simulation cadence≥ semi-annual board-level
KPI-22Consortia attestations live (ICGC+GACRA+GASO+GAI-SOC)100 % monthly
KPI-23Board literacy score≥ 90 % by 2027; 95 % by 2030
KPI-24Public verifier uptime≥ 99.95 %
+
+ +
+

Risk & Control Matrix (12)

+
IDThreatControlsKPIs
RC-01Prompt injection (OWASP-LLM01)pre_flight_guardrail, OPA pre-tool, structured-output schemaKPI-09, KPI-10
RC-02Insecure output handling (LLM02)allow-list validators, WORM-logged outputs, judge ensembleKPI-01
RC-03Training data poisoning (LLM03)AI BoM dataset lineage, Sigstore, FL gradient anomaly z ≥ 3.5KPI-17, KPI-22
RC-04Supply chain compromise (LLM05)SLSA L3+, Sigstore + ML-DSA-44, in-totoKPI-15
RC-05Sensitive info disclosure (LLM06)DLP, eBPF redaction, RAG ACL, zk-SNARK auditor accessKPI-01
RC-06Excessive agency (LLM08)multisig kill-switch, tool allow-list, honeypotKPI-02, KPI-19
RC-07Model drift / fairness regressionCognitive Resonance, PSI/KS drift, fairness auditKPI-11, KPI-12, KPI-13
RC-08Deceptive alignment (frontier)Cognitive Resonance, ASI honeypot, swarm consensus, AISI inspectionKPI-11, KPI-19
RC-09Cross-border data leakageFL secure aggregation, per-region keys, SCCs, Terraform residency tagsKPI-01
RC-10Tampering with audit trailObject Lock, daily Merkle, PQC signing, public verifierKPI-14, KPI-24
RC-11Excess capital under-provisionGFMCF AI capital buffer, stress test, Pillar 3 disclosureKPI-20
RC-12Inadequate board oversightBoard AI/Risk Cmte charter, literacy programme, quarterly board packKPI-21, KPI-23
+
+ +
+

Regulators (12)

+
IDNamePrimary Scope
REG-01EU Commission + AISI EUEU AI Act lead + safety institute
REG-02ECB-SSM + EBA + ESMAEU prudential + securities
REG-03PRA + Bank of EnglandUK prudential
REG-04FCAUK conduct + Consumer Duty + SMCR
REG-05FRB + OCC + FDICUS prudential
REG-06SEC + CFTCUS markets
REG-07MASSingapore
REG-08HKMA + SFCHong Kong
REG-09BoJ + FSA JapanJapan
REG-10APRA + ASICAustralia
REG-11OSFI + OPC CanadaCanada prudential + privacy
REG-12FSB + BIS + IMF + OECD + AISI (US/UK)Global + treaty
+
+ +
+

Workshops (7)

+
IDAudienceDurationOutcome
WS-01Board AI/Risk Cmte2 hRisk appetite + tabletop sign-off + Closing Charge ratification
WS-02C-Suite + SMFs1 dOperating model + SMCR responsibilities map
WS-03MRM + AI Risk + 2LoD1 dSector MRM playbook (credit, trading, fiduciary, CRS-UUID-001)
WS-04Platform Engineering + Enterprise Architecture2 dK8s + Kafka WORM + OPA + Terraform bootcamp
WS-05SOC + IR + AI Safety Lead1 dSEV-0..SEV-3 runbook + ASI honeypot drill
WS-06Internal Audit (3LoD)1 dReplay + WORM verifier inspection + report R1..R4 walkthrough
WS-07Supervisor + AISI liaison0.5 dAnnex IV + SR 11-7 + R1..R4 demo + GAP attestation walkthrough
+
+ +
+

Data Flows (6)

+
IDNameStepsControls
DF-01Charter → Hub → KPI tile
  • draft charter
  • sign
  • load into Hub
  • render KPI tile
  • anchor in WORM
WebAuthn, Ed25519 + ML-DSA-44, Object Lock
DF-02Inference → WORM → replay → R2 report
  • sidecar emit envelope
  • Kafka WORM
  • daily Merkle
  • replay engine
  • R2 generator
  • PAdES + ML-DSA-65 sign
mTLS, PQC, deterministic seed, PAdES
DF-03Cognitive Resonance breach → IR
  • monitor compute thresholds
  • block + escalate
  • incident triage prompt
  • multisig kill-switch
  • BMC/IPMI
  • evidence pack
≤ 60 s logical, ≤ 5 min physical
DF-04Annex IV pack auto-assembly
  • collect evidence
  • section mapping
  • judge tone
  • PAdES + Sigstore
  • deliver to supervisor-gateway
≤ 30 min, 0 critical errors
DF-05Consortia attestation
  • compute metrics
  • sign with ML-DSA-65
  • submit to ICGC/GACRA/GASO/GAI-SOC
  • anchor receipt in WORM
monthly cadence, PQC
DF-06Public verifier proof
  • read anchor
  • compute Merkle proof
  • build zk-SNARK
  • publish endpoint
uptime ≥ 99.95 %, no PII leakage
+
+ +
+

Traceability — Feature → Control → Regimes

+
FeatureControlRegimes
M1 7-pillar modelCharters + RACI + SMCR named SMFISO 42001 Cl 5, SMCR, SR 11-7
M2 EU AI Act crosswalkArticle-level evidence matrix + auto packEU AI Act Arts 9-72 + Annex IV
M3 Kafka WORM + ACLSASL/SCRAM + mTLS + Object Lock + Merkle + PQCEU AI Act Art 12, DORA, GDPR Art 32
M4 CRS-UUID-001ECOA + FCRA + FCA + MAS evidence + AI BoMFCRA §615(a), ECOA Reg B, FCA Consumer Duty, MAS FEAT
M5 Cognitive ResonanceΔ_drift ≤ 4 %, latent ≤ 3 %, cosine ≥ 0.92EU AI Act Art 15, NIST GAI Profile
M6 Consortia attestationsICGC + GACRA + GASO + GAI-SOC feeds signedGAIGA, FSB AI, OECD
M7 Hub + Report Gen + WorkflowAI ProWebAuthn + RBAC + signed runsISO 27001, WCAG 2.2
M8 Prompt engineering lifecycleAuthor + reviewer + approver Ed25519 + ML-DSA-44 signISO 42001 Cl 8, NIST RMF Manage
M9 Civilizational corpusConstitution + Operating Model + Coalition ActivationOECD AI Principles, Council of Europe AI Convention
M10 R1..R4 reports<title>/<abstract>/<content> + PAdES + ML-DSA-65EU AI Act Art 13, SR 11-7, PRA SS1/23
M11 Implementation blueprintsCI/CD + OPA + Terraform + replay + drift + red-teamSLSA L3+, Sigstore, FIPS 204
M12 Tier T1-T3Controls + evidence + cadence by tierSR 11-7 tiering, PRA SS1/23
M13 30/60/90 planMVAGS Day-90 production with sign-offEU AI Act Art 9 RMS, ISO 42001 Cl 9
M14 2026-2030 roadmap + artifactsPer-audience machine-readable artifactsNIST RMF, GAIGA, GATI
+
+ +
+

Schemas (12)

+
IDFields
governanceChartercharterId, pillar, owner, raci, decisionRights, signers, signatures, anchorRef
modelInventoryRecordmodelId, uuid, tier, sector, owner, regimes, lastValidationRef, aiBomRef, cognitiveResonanceState
regulatorPackBundlepackId, regime, modelId, sections, evidenceRefs, signers, signatures, anchorRef
safetyReportreportId, type (R1|R2|R3|R4), title, abstract, content, evidenceRefs, signers, signatures
cognitiveResonanceReportreportId, ts, modelId, driftDelta, latentDrift, fiduciaryCosine, judgeKappa, breach, actionTaken
consortiumAttestationattestId, consortium, ts, scope, metrics, signers, signatures, anchorRef
workflowAIRunReceiptrunId, promptVersion, dagDigest, inputs, outputs, judgeScores, cost, ts, signatures
tierClassificationDecisiondecisionId, modelId, tier, rationale, signers, signatures
killSwitchValidationRecordvalidationId, ts, logicalP95, physicalLatency, participants, evidence, signers
boardSignOffsignOffId, subject, decision, boardMembers, signatures, ts
publicVerifierProofproofId, anchorRef, merkleRoot, zkSnarkProof, ts, signature
coalitionPartnerRecordpartnerId, name, scope, obligations, signers, anchorRef
+
+ +
+

Code Examples (16)

+
CE-01 — GitHub Actions — Sigstore + ML-DSA-44 + OPA gate (yaml)
jobs:
+  build-sign-attest:
+    permissions: { id-token: write, contents: read, packages: write }
+    steps:
+      - uses: actions/checkout@v4
+      - run: cyclonedx-bom -o sbom.json
+      - run: python tools/aibom.py > aibom.json
+      - run: opa test policies/ -v
+      - run: python redteam/smoke.py --severity medium
+      - uses: sigstore/cosign-installer@v3
+      - run: cosign sign --yes $IMAGE
+      - run: oqs-sign mldsa44 --key $MLDSA_KEY --in $IMAGE_DIGEST --out mldsa.sig
+      - uses: actions/upload-artifact@v4
+        with: { name: attestations, path: '*.sig' }
+
CE-02 — OPA Rego — Tier-1 admission constraint (rego)
package k8s.tier1.admission
+
+default allow = false
+
+allow {
+  input.review.object.metadata.labels.tier == "t1"
+  input.review.object.spec.runtimeClassName == "kata"
+  cosign_verified
+  mldsa_verified
+  not deny_reasons[_]
+}
+
+cosign_verified { input.review.annotations["sigstore.dev/verified"] == "true" }
+mldsa_verified  { input.review.annotations["pqc.fips204/verified"]   == "true" }
+
CE-03 — Terraform — golden Kafka WORM module (hcl)
module "kafka_worm" {
+  source = "git::ssh://git@firm/terraform-modules.git//kafka-worm?ref=v3.2.1"
+  cluster_name   = "worm-prod-eu"
+  retention_class = "compliance-10y"
+  acl_principals = var.acl_principals
+  pqc_envelope   = true
+  merkle_anchor  = "daily"
+  tags = { owner = "caio", tier = "t1", dataClass = "restricted", regime = "eu-ai-act" }
+}
+
CE-04 — Node.js sidecar — emit decision envelope (typescript)
import { producer } from './kafka';
+export async function emit(env: Envelope) {
+  const sig = await sign(env);
+  await producer.send({
+    topic: 'decision.envelope.v1',
+    messages: [{ key: env.systemId, value: JSON.stringify({ ...env, sig }) }],
+  });
+}
+
CE-05 — Python sidecar — pre-flight guardrail (python)
def pre_flight(prompt: str, ctx: dict) -> Guardrail:
+    out = llm_json(
+        prompt=GUARDRAIL_TEMPLATE.format(prompt=prompt, policyContext=ctx),
+        schema=GUARDRAIL_SCHEMA,
+    )
+    if not out.allowed:
+        raise Blocked(out.reasons, policy_refs=out.policyRefs)
+    return out
+
CE-06 — Cognitive Resonance — threshold check (Python) (python)
def resonance_breach(delta, latent, cosine, kappa):
+    if delta > 0.04: return 'drift'
+    if latent > 0.03: return 'latent'
+    if cosine < 0.92: return 'fiduciary'
+    if kappa  < 0.90: return 'judge_kappa'
+    return None
+
CE-07 — Next.js explainability portal — SHAP overlay (tsx)
export function ShapPanel({ envelopeId }: { envelopeId: string }) {
+  const { data } = useSWR(`/api/replay/${envelopeId}/shap`, fetcher);
+  return <ShapHeatmap features={data?.features ?? []} />;
+}
+
CE-08 — WorkflowAI Pro — DAG spec (yaml)
id: regulator-pack-annex-iv
+nodes:
+  - id: collect-evidence
+    type: retrieval
+    params: { window: 90d }
+  - id: section-mapper
+    type: llm
+    prompt: annex-iv-section-mapper@v3
+  - id: judge
+    type: judge
+    rubric: regulator-tone
+  - id: sign
+    type: tool
+    tool: pades-sigstore-mldsa
+
CE-09 — AI Safety Report Generator — R2 builder (Python) (python)
def build_R2(artifacts):
+    title    = '<title>Technical Strategies for AI Alignment</title>'
+    abstract = '<abstract>' + summarize(artifacts['alignment_stack']) + '</abstract>'
+    content  = '<content>' + assemble_sections(artifacts) + '</content>'
+    pdf = render_pdf(title, abstract, content)
+    return sign_pades_sigstore_mldsa(pdf)
+
CE-10 — Multisig 3-of-5 kill-switch arm (Go) (go)
func ArmKillSwitch(orders []SignedOrder) error {
+    if len(verify(orders)) < 3 { return ErrInsufficientSigs }
+    if err := logicalDeny(); err != nil { return err }
+    return bmcOff()
+}
+
CE-11 — zk-SNARK access proof verifier (Rust) (rust)
pub fn verify_access(proof: &Proof, public: &PublicInputs) -> bool {
+    groth16::verify(&VK, public, proof).unwrap_or(false)
+}
+
CE-12 — Consortium attestation submit (Python) (python)
def submit_attest(consortium: str, payload: dict):
+    payload['signers'] = SIGNERS
+    payload['sig'] = mldsa65_sign(payload)
+    resp = requests.post(REGISTRY[consortium], json=payload, timeout=10)
+    resp.raise_for_status()
+    return resp.json()['attestId']
+
CE-13 — Tier classification decision (TypeScript) (typescript)
export function classify(model: ModelMeta): Tier {
+  if (model.customerImpact === 'material' || model.frontier) return 'T1';
+  if (model.internalDecisional) return 'T2';
+  return 'T3';
+}
+
CE-14 — Drift PSI + slice heatmap (Python) (python)
import numpy as np
+def psi(expected, actual, bins=10):
+    eb, _ = np.histogram(expected, bins=bins)
+    ab, _ = np.histogram(actual,   bins=bins)
+    eb = eb/eb.sum(); ab = ab/ab.sum()
+    return float(((eb-ab)*np.log((eb+1e-9)/(ab+1e-9))).sum())
+
CE-15 — Public verifier endpoint (Node.js) (typescript)
app.get('/public-verifier/:anchorId', async (req, res) => {
+  const anchor = await store.getAnchor(req.params.anchorId);
+  const ok = await verifyMerkle(anchor) && await verifyMlDsa(anchor);
+  res.json({ anchorId: anchor.id, verified: ok, ts: anchor.ts });
+});
+
CE-16 — Board pack tile JSON contract (json)
{
+  "tileId": "kpi-sev0-killswitch",
+  "name": "SEV-0 logical kill-switch p95",
+  "current": "53s",
+  "target": "<=60s",
+  "status": "green",
+  "sourceEnvelopeId": "env-3f7c..."
+}
+
+
+ +
+

Case Studies (6)

+

CS-01 — Tier-1 G-SIB — MVAGS Day-90 production

All Tier-1 covered; Annex IV pack 26 min p95; kill-switch p95 53 s; Cognitive Resonance 0 unmitigated breaches in 30 d

CS-02 — CRS-UUID-001 — cross-jurisdiction credit

Disparate impact ≤ 0.04; ECOA + FCA + MAS evidence signed; supervisor sign-off month 3

CS-03 — AlphaTrade-V9 tabletop — board exercise

Kill-switch p95 53 s; regulator-notify draft 90 min; comms clarity 4.6/5; Cognitive Resonance breach contained

CS-04 — AI Safety Report Generator R1..R4

All four reports auto-generated in 22 min p95; PAdES + ML-DSA-65 signed; submitted to lead supervisor

CS-05 — Coalition Activation Year-1

5 partner institutions signed; 3 jurisdictions covered; GAID + GAI-SOC feeds bidirectional

CS-06 — ASI honeypot pilot

3 SEV-0 candidates captured in 6 months; 0 production reach; full forensic capture

+
+ +
+

30/60/90-Day Rollout

+
WindowTrackItems
Day 0-30Foundations
  • Hub read-only beta
  • Sentinel v2.4 + OPA bundle v1
  • Kafka WORM + daily anchor
  • GitHub Actions Sigstore + ML-DSA-44 (T1)
  • WebAuthn + RBAC
  • Board charter signed
  • Sector MRM inventory refresh
Day 31-60Coverage
  • Cilium zero-egress + Kata T1
  • Annex IV / SR 11-7 pack GA
  • 2LoD red-team CI gate (Judge LLM)
  • Multisig 3-of-5 kill-switch + BMC drill
  • Replay engine top-5 models
  • WorkflowAI Pro GA
  • AlphaTrade-V9 + CRS-UUID-001 tabletop dry-run
Day 61-90Hardening + MVAGS
  • FIPS 204 ML-DSA migration
  • Cognitive Resonance Monitor GA
  • FL pilot EU + SG
  • Art 17 unlearning + DSAR portal
  • ASI honeypot deployment
  • Consortia onboarding (ICGC + GACRA + GASO + GAI-SOC)
  • Regulator demo + GAP attestation Q1 + R1..R4 reports
+
+ +
+

2026-2030 Multi-Year Roadmap (5 years)

+
YearFocusMilestones
2026MVAGS Day-90 + Coalition Activation
  • MVAGS in production for all T1
  • R1..R4 auto-generation
  • Public verifier v1
  • Coalition partners ≥ 5
2027Frontier Containment + GAIVS Passport
  • GAIVS evaluation passport
  • GAICS containment audit
  • FL in 4 jurisdictions
  • Cognitive Resonance v2
2028PQC + AI Capital Buffer + Treaty Interop
  • FIPS 204 100 % WORM + AI BoM
  • GFMCF AI capital buffer Pillar 3
  • GATI + GAIGA disclosure
  • Public verifier v2 (zk-SNARK)
2029Civilizational-Grade Operations
  • PQC classical retired for T1
  • GAID + FTEWS bidirectional
  • Institutional adoption ≥ 10 partners
  • Closing Charge renewed
2030Steady-State + Renewal
  • Renewal Atlas refreshed
  • Continuity Codex v3
  • Coalition ≥ 20 partners
  • Board literacy ≥ 95 %
  • GAICS conformance 100 % for frontier
+
+ +
+

Machine-Readable Artifacts by Audience

+
Engineering
  • GitHub Actions workflows
  • OPA Rego bundles
  • Terraform modules signed
  • Helm charts + Kustomize overlays
  • Sidecar SDKs (Node.js + Python)
Legal
  • Signed AI BoM
  • DPIA templates
  • Art 13 / Art 22 disclosures
  • ECOA + FCRA adverse-action templates
  • SCC + transfer impact assessments
C-Suite
  • KPI tile JSON
  • Risk-appetite JSON
  • Quarterly executive pack PDF/A
  • SMCR statements of responsibilities
Board
  • Board paper PDF/A
  • Tabletop scorecards
  • Risk appetite attestation
  • Capital buffer attestation (GFMCF)
Regulator
  • Annex IV pack
  • SR 11-7 pack
  • R1..R4 reports
  • GAP attestation
  • Consortia feeds (ICGC + GACRA + GASO + GAI-SOC + GAIVS)
EnterpriseArchitecture
  • Reference architecture diagrams (C4)
  • Data flow JSON
  • Terraform golden envs
  • API + event catalog
AIPlatformEngineering
  • Sidecar SDKs
  • WorkflowAI Pro DAG specs
  • Prompt registry export
  • Eval harness suites
AISafetyResearch
  • Cognitive Resonance datasets
  • Honeypot engagement corpus
  • Sleeper-Agent eval suite
  • Alignment paper drafts + replication scripts
+
+ +
+

Privacy & Sovereignty

+
lawfulBasis
  • Legal obligation (Art 6(1)(c))
  • Legitimate interest (Art 6(1)(f))
  • Contract (Art 6(1)(b))
subjectRights
  • DSAR portal
  • Art 17 erasure via machine unlearning
  • Art 22 contestation + meaningful info
dataMinimization
  • eBPF redaction
  • FL secure aggregation
  • RAG ACL
  • pseudonymous WORM
  • zk-SNARK auditor access
transfersPer-jurisdiction residency; SCCs + supplementary measures; per-region keys
dpiaMandatory for high-risk (credit, trading, fraud, AML, fiduciary advice)
securityControls
  • zero-trust mTLS
  • FIPS 204 PQC
  • FIPS 140-3 L4 HSM
  • WORM Object Lock
  • SLSA L3+
  • Kata confidential
+
+ +
+

Deployment Considerations

+ +
+ +
+ + diff --git a/rag-agentic-dashboard/server.js b/rag-agentic-dashboard/server.js index 5ca01c38..79067812 100644 --- a/rag-agentic-dashboard/server.js +++ b/rag-agentic-dashboard/server.js @@ -23356,6 +23356,83 @@ app.get('/api/ai-trust-asi-bp/case-studies/:id', (req, res) => { }); // ===================== END WP-046 ===================== +// ===================== WP-047 INST-AGI-MASTER-REF ===================== +const INSTAGIMR = require('./data/inst-agi-master-ref.json'); + +app.get('/api/inst-agi-master-ref', (_req, res) => res.json(INSTAGIMR)); +app.get('/api/inst-agi-master-ref/meta', (_req, res) => res.json({ + docRef: INSTAGIMR.docRef, + version: INSTAGIMR.version, + horizon: INSTAGIMR.horizon, + classification: INSTAGIMR.classification, + title: INSTAGIMR.title, + subtitle: INSTAGIMR.subtitle, + owner: INSTAGIMR.owner, + buildsOn: INSTAGIMR.buildsOn, + regimes: INSTAGIMR.regimes, + apiPrefix: INSTAGIMR.apiPrefix, +})); +app.get('/api/inst-agi-master-ref/executive-summary', (_req, res) => res.json(INSTAGIMR.executiveSummary || {})); +app.get('/api/inst-agi-master-ref/summary', (_req, res) => res.json(INSTAGIMR.executiveSummary || {})); +app.get('/api/inst-agi-master-ref/counts', (_req, res) => res.json(INSTAGIMR.counts || {})); +app.get('/api/inst-agi-master-ref/regimes', (_req, res) => res.json(INSTAGIMR.regimes || [])); +app.get('/api/inst-agi-master-ref/directive', (_req, res) => res.json(INSTAGIMR.directive || {})); +app.get('/api/inst-agi-master-ref/modules', (_req, res) => res.json(INSTAGIMR.modules || [])); +for (let i = 1; i <= 14; i++) { + app.get(`/api/inst-agi-master-ref/m${i}`, (_req, res) => { + const m = (INSTAGIMR.modules || []).find(x => x.id === `M${i}`); + if (!m) return res.status(404).json({ error: 'module not found', id: `M${i}` }); + res.json(m); + }); +} +app.get('/api/inst-agi-master-ref/modules/:id', (req, res) => { + const m = (INSTAGIMR.modules || []).find(x => x.id === req.params.id); + if (!m) return res.status(404).json({ error: 'module not found', id: req.params.id }); + res.json(m); +}); +app.get('/api/inst-agi-master-ref/sections/:id', (req, res) => { + for (const m of (INSTAGIMR.modules || [])) { + const s = (m.sections || []).find(x => x.id === req.params.id); + if (s) return res.json({ moduleId: m.id, ...s }); + } + res.status(404).json({ error: 'section not found', id: req.params.id }); +}); +app.get('/api/inst-agi-master-ref/kpis', (_req, res) => res.json(INSTAGIMR.kpis || [])); +app.get('/api/inst-agi-master-ref/risk-control-matrix', (_req, res) => res.json(INSTAGIMR.riskControlMatrix || [])); +app.get('/api/inst-agi-master-ref/regulators', (_req, res) => res.json(INSTAGIMR.regulators || [])); +app.get('/api/inst-agi-master-ref/workshops', (_req, res) => res.json(INSTAGIMR.workshops || [])); +app.get('/api/inst-agi-master-ref/data-flows', (_req, res) => res.json(INSTAGIMR.dataFlows || [])); +app.get('/api/inst-agi-master-ref/traceability', (_req, res) => res.json(INSTAGIMR.traceability || [])); +app.get('/api/inst-agi-master-ref/privacy', (_req, res) => res.json(INSTAGIMR.privacy || {})); +app.get('/api/inst-agi-master-ref/deployment', (_req, res) => res.json(INSTAGIMR.deploymentConsiderations || [])); +app.get('/api/inst-agi-master-ref/schemas', (_req, res) => res.json(INSTAGIMR.schemas || [])); +app.get('/api/inst-agi-master-ref/schemas/:id', (req, res) => { + const s = (INSTAGIMR.schemas || []).find(x => x.id === req.params.id); + if (!s) return res.status(404).json({ error: 'schema not found', id: req.params.id }); + res.json(s); +}); +app.get('/api/inst-agi-master-ref/code-examples', (_req, res) => res.json(INSTAGIMR.codeExamples || [])); +app.get('/api/inst-agi-master-ref/code-examples/:id', (req, res) => { + const c = (INSTAGIMR.codeExamples || []).find(x => x.id === req.params.id); + if (!c) return res.status(404).json({ error: 'code-example not found', id: req.params.id }); + res.json(c); +}); +app.get('/api/inst-agi-master-ref/case-studies', (_req, res) => res.json(INSTAGIMR.caseStudies || [])); +app.get('/api/inst-agi-master-ref/case-studies/:id', (req, res) => { + const c = (INSTAGIMR.caseStudies || []).find(x => x.id === req.params.id); + if (!c) return res.status(404).json({ error: 'case-study not found', id: req.params.id }); + res.json(c); +}); +app.get('/api/inst-agi-master-ref/rollout-90', (_req, res) => res.json(INSTAGIMR.rollout90 || [])); +app.get('/api/inst-agi-master-ref/roadmap', (_req, res) => res.json(INSTAGIMR.roadmap || [])); +app.get('/api/inst-agi-master-ref/artifacts', (_req, res) => res.json(INSTAGIMR.artifactsByAudience || {})); +app.get('/api/inst-agi-master-ref/reports', (_req, res) => { + const r10 = (INSTAGIMR.modules || []).find(x => x.id === 'M10'); + if (!r10) return res.status(404).json({ error: 'reports module not found' }); + res.json(r10.sections || []); +}); +// ===================== END WP-047 ===================== + // SECTION 10: START SERVER // ══════════════════════════════════════════════════════════════════════════════