diff --git a/rag-agentic-dashboard/data/ent-agi-ref-impl.json b/rag-agentic-dashboard/data/ent-agi-ref-impl.json new file mode 100644 index 0000000..3b5f7eb --- /dev/null +++ b/rag-agentic-dashboard/data/ent-agi-ref-impl.json @@ -0,0 +1,1425 @@ +{ + "meta": { + "docRef": "ENT-AGI-REF-IMPL-WP-040", + "version": "1.0.0", + "date": "2026-05-04", + "title": "Enterprise AGI/ASI Governance Master Reference & Implementation Blueprint", + "subtitle": "Regulator-Ready Reference Architectures, Platform Specs & Phased Roadmap for Fortune 500 / Global 2000 / G-SIFI Institutions (2026-2030)", + "classification": "CONFIDENTIAL \u2014 Board / Audit Committee / CRO / CISO / Prudential Supervisor", + "owner": "Group CEO + Chief AI Officer (CAIO) \u2014 co-signed by CRO, CISO, GC, DPO, Head of Internal Audit", + "audience": [ + "C-Suite (CEO, CFO, CRO, CIO, CISO, CAIO, GC, DPO)", + "Board of Directors and Audit / Risk Committees", + "Prudential supervisors and AI safety regulators", + "Enterprise architects", + "AI platform engineers and MLOps SREs", + "AI safety researchers" + ], + "horizon": "2026-2030", + "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" + ], + "regulatoryAlignment": [ + "EU AI Act (Reg. 2024/1689) \u2014 Aug 2026 High-Risk + Aug 2025 GPAI; Arts 5,6,9,10,12-15,17,26-27,49,53,55,72,73", + "NIST AI RMF 1.0 (Govern/Map/Measure/Manage) + AI 600-1 GenAI Profile", + "ISO/IEC 42001:2023 (AIMS); ISO/IEC 23894 (AI Risk); ISO/IEC 5338, 27001, 27701, 27018", + "OECD AI Principles (2019, updated 2024)", + "GDPR/UK GDPR \u2014 Arts 5, 6, 9, 22, 25, 32-35", + "US \u2014 FCRA \u00a7604/\u00a7615, ECOA Reg B, FFIEC SR 11-7, OCC 2011-12, CFPB Circulars", + "US Executive Order 14110 (Safe, Secure, Trustworthy AI) \u2014 agency obligations & red-team disclosure", + "Basel III/IV + BCBS 239 risk data aggregation", + "PRA SS1/23 (MRM), PRA SS2/21 (third-party risk)", + "FCA Consumer Duty PS22/9; FCA SMCR (SYSC, COCON, SMF24)", + "MAS FEAT Principles; MAS Veritas", + "HKMA GenAI Guidance (Sept 2024); HKMA SPM AI", + "OWASP LLM Top 10 (2025); MITRE ATLAS; STRIDE; LINDDUN", + "SLSA L3, in-toto, Sigstore/Cosign, Rekor; SOC 2 Type II; FedRAMP High" + ], + "subjectSystem": { + "scope": "All AI/ML systems across the enterprise \u2014 discriminative, generative, agentic, frontier AGI/ASI", + "scale": "Fortune 500 / Global 2000 / G-SIFI; >100k staff; >50 jurisdictions; >1M concurrent inferences", + "deployment": "Multi-region active-active hybrid + sovereign-cloud variants (EU, UK-Gov, US-Gov, SG-Gov)", + "platforms": [ + "Sentinel AI Governance Platform v2.4", + "WorkflowAI Pro / GeminiService", + "EAIP (Enterprise AI Implementation Platform)", + "Enterprise AI Governance Hub" + ] + }, + "deliverableInventory": { + "modules": 14, + "sections": 50, + "schemas": 10, + "codeExamples": 12, + "caseStudies": 6, + "apiRoutes": 90, + "phases": 5, + "kpis": 18, + "controls": 320 + } + }, + "executiveSummary": { + "purpose": "Deliver a single, regulator-ready, board-approvable Enterprise AGI/ASI Governance Master Reference & Implementation Blueprint for Fortune 500 / Global 2000 / G-SIFI institutions, integrating reference architectures, sector MRM, AGI/ASI safety, global compute governance, four flagship platforms, and a phased 2026-2030 roadmap.", + "scope": "Covers regulator-ready governance architectures; cross-jurisdiction alignment (EU AI Act 2026 High-Risk + GPAI, NIST AI RMF, ISO/IEC 42001, OECD, GDPR, FCRA/ECOA, Basel III, SR 11-7, PRA, FCA, MAS, HKMA, SMCR, Consumer Duty, US EO 14110); enterprise AI reference & compliance architectures (Kafka WORM with ACL governance, Docker Swarm security, Node.js/Python governance sidecars, Next.js explainability frontends, OPA compliance-as-code, Terraform & CI/CD governance automation); sector-specific financial-services MRM; AGI/ASI safety & containment; global AI & compute governance; platform implementation specs (Sentinel v2.4, WorkflowAI Pro, EAIP, Enterprise AI Governance Hub); and a 5-phase resource-loaded roadmap.", + "designPrinciples": [ + "Compliance-by-design and compliance-as-code (OPA/Rego)", + "Defense-in-depth across 8 architectural planes + 3 lines of defense", + "Evidence-as-data (every governance event generates immutable, signed evidence)", + "Self-verifying governance (TLA+ / Lean machine-checkable obligations)", + "Regulator-integrated by default (federated supervisors, JSOP)", + "Human-on-the-loop for high-risk (Art. 14 EU AI Act, SR 11-7 effective challenge)", + "Frontier-safety-aware (capability tiers, kinetic kill-switch \u226460s)", + "Platform-first delivery (Sentinel + WorkflowAI Pro + EAIP + Hub)" + ], + "keyOutcomes": [ + "\u226414 days time-to-regulator-approved deployment", + "\u22650.92 RAG faithfulness \u00b7 \u22640.01% PII leakage \u00b7 \u226599.5% blocked-harm rate", + "100% AI inventory coverage \u00b7 320 controls \u00b7 \u226595% automation", + "Decision-traceability \u226599.95% with Ed25519 + Dilithium3 hybrid signing", + "Kinetic kill-switch \u226460s \u00b7 MTTD \u22644 min \u00b7 MTTR \u226460 min", + "Fairness AIR \u22650.85 \u00b7 adverse-action SLA \u226424 h", + "Reg notification \u226424 h (EU AI Act Art. 73) / \u226472 h (GDPR Art. 33)", + "\u22658 federated supervisors connected via JSOP by 2030", + "AGI Governance Maturity \u2265M4 (Predictive) by 2029, \u2265M5 by 2030" + ], + "boardNarrative": "AI is now both a strategic capability and a regulated activity. This master reference delivers the architectures, platforms, controls, and roadmap to operate AI safely, fairly, profitably, and prudentially through 2030 \u2014 including under frontier AGI/ASI conditions, multi-regulator scrutiny, and US EO 14110 obligations." + }, + "M1_governance": { + "id": "M1", + "title": "M1 \u2014 Regulator-Ready AI Governance Architectures", + "summary": "Board-to-engineer governance stack with 8 pillars, 3LoD, executive accountability, and regulator integration.", + "sections": [ + { + "id": "M1-S1", + "title": "Eight Governance Pillars", + "pillars": [ + "P1 Strategic Alignment (board AI strategy, risk appetite)", + "P2 Regulatory Compliance (multi-jurisdiction)", + "P3 Risk Management (FRIA/DPIA, MRM)", + "P4 Ethics & Fairness (FEAT, AIR \u22650.85)", + "P5 Safety & Containment (frontier tiers, kill-switch)", + "P6 Security & Privacy (zero-trust, OWASP LLM Top 10)", + "P7 Transparency & Explainability (XAI, decision envelopes)", + "P8 Accountability & Audit (3LoD, IA, regulator-integrated)" + ] + }, + { + "id": "M1-S2", + "title": "Executive Accountability & Three Lines of Defense", + "executives": { + "Board": "Approves AI strategy, risk appetite, Codex Charter", + "CEO": "Single accountable executive; signs Regulator Submission Packs", + "CAIO": "Owns AIMS, model registry, frontier safety; chairs AI Risk Committee", + "CRO": "Owns AI risk taxonomy, FRIA, capital overlays, SR 11-7 effective challenge", + "CISO": "Owns AI security, OWASP LLM Top 10 defense", + "DPO": "Owns GDPR/PII, DPIA, data subject rights", + "GC": "Owns regulatory mapping, Art. 73 notifications, EO 14110 disclosure", + "IA": "Independent assurance" + }, + "lod": [ + "1LoD Business owners", + "2LoD Risk & Compliance", + "3LoD Internal Audit" + ] + }, + { + "id": "M1-S3", + "title": "Committees & RACI", + "committees": [ + "AI Risk Committee (CAIO, quarterly)", + "AI Ethics & Fairness Council (GC, monthly)", + "Frontier Safety Board (CRO, ad-hoc + quarterly)", + "Model Risk Committee (CRO, monthly SR 11-7)", + "Regulator Engagement Forum (GC, on-call + quarterly)" + ], + "raci": "320 controls \u00d7 Board/CEO/CAIO/CRO/CISO/DPO/GC/IA" + } + ] + }, + "M2_regulatory": { + "id": "M2", + "title": "M2 \u2014 Multi-Jurisdiction Regulatory Alignment Matrix", + "summary": "20 regulatory regimes mapped to 320 controls including US EO 14110.", + "sections": [ + { + "id": "M2-S1", + "title": "Crosswalk (20 regimes)", + "regimes": [ + { + "regime": "EU AI Act", + "key": "Aug 2026 High-Risk + Aug 2025 GPAI; Arts 5-15, 26-27, 49, 53, 55, 72-73" + }, + { + "regime": "NIST AI RMF 1.0 + AI 600-1", + "key": "Govern/Map/Measure/Manage + GenAI Profile" + }, + { + "regime": "ISO/IEC 42001", + "key": "AIMS clauses 4-10 + Annex A" + }, + { + "regime": "ISO/IEC 23894", + "key": "AI Risk Management" + }, + { + "regime": "OECD AI Principles", + "key": "5 values + 5 recs" + }, + { + "regime": "GDPR/UK GDPR", + "key": "Arts 5, 6, 9, 22, 25, 32-35" + }, + { + "regime": "FCRA \u00a7604/\u00a7615", + "key": "Adverse action, permissible purpose" + }, + { + "regime": "ECOA Reg B", + "key": "Disparate impact" + }, + { + "regime": "FFIEC SR 11-7 / OCC 2011-12", + "key": "MRM lifecycle" + }, + { + "regime": "Basel III/IV + BCBS 239", + "key": "Risk data, capital" + }, + { + "regime": "PRA SS1/23", + "key": "MRM principles 1-5" + }, + { + "regime": "PRA SS2/21", + "key": "Outsourcing & 3rd-party" + }, + { + "regime": "FCA Consumer Duty PS22/9", + "key": "4 outcomes, cross-cutting" + }, + { + "regime": "FCA SMCR", + "key": "SYSC, COCON, SMF24" + }, + { + "regime": "MAS FEAT + Veritas", + "key": "Fairness, Ethics, Accountability, Transparency" + }, + { + "regime": "HKMA GenAI Sept 2024", + "key": "SPM AI" + }, + { + "regime": "US EO 14110", + "key": "Safe/Secure/Trustworthy AI; red-team disclosure for dual-use foundation models" + }, + { + "regime": "OWASP LLM Top 10 (2025)", + "key": "Prompt inj, data leak, supply chain" + }, + { + "regime": "MITRE ATLAS", + "key": "Adversarial ML tactics" + }, + { + "regime": "SLSA L3 / Sigstore / in-toto", + "key": "Supply-chain integrity" + } + ] + }, + { + "id": "M2-S2", + "title": "Control Inventory", + "stats": { + "controls": 320, + "automation": "\u226595%", + "WORM": "10 years" + } + }, + { + "id": "M2-S3", + "title": "US EO 14110 Specifics", + "obligations": [ + "Dual-use foundation model reporting (compute thresholds)", + "Red-team results disclosure to USG", + "Watermarking & content provenance", + "AI Safety Institute coordination", + "Critical-infrastructure AI risk reporting" + ] + }, + { + "id": "M2-S4", + "title": "Capital Overlay Triggers", + "triggers": [ + "MRM tier T1 \u2192 Pillar 2 model risk overlay", + "AI incidents SEV-0/1 \u2192 operational risk overlay", + "Fairness drift > 5pp \u2192 conduct overlay" + ] + } + ] + }, + "M3_architecture": { + "id": "M3", + "title": "M3 \u2014 Enterprise AI Reference & Compliance Architectures", + "summary": "8 architectural planes + concrete compliance stack: Kafka WORM, Docker Swarm, sidecars, Next.js XAI, OPA, Terraform/CI-CD.", + "sections": [ + { + "id": "M3-S1", + "title": "Eight Architectural Planes", + "planes": [ + { + "plane": "Edge & Identity", + "components": [ + "WAF/CDN", + "OIDC/OAuth2", + "mTLS", + "SPIFFE/SPIRE" + ] + }, + { + "plane": "Application", + "components": [ + "WorkflowAI Pro", + "Adaptive UX", + "Tasks/Reports", + "Board Briefing" + ] + }, + { + "plane": "AI", + "components": [ + "GeminiService gateway", + "Model registry", + "RAG", + "Agents", + "Frontier sandbox" + ] + }, + { + "plane": "Governance", + "components": [ + "OPA/Rego", + "PDPs", + "FRIA/DPIA engine", + "Codex Auto-Updater" + ] + }, + { + "plane": "Data", + "components": [ + "Lakehouse", + "Feature store", + "Vector DB", + "Kafka WORM", + "Lineage" + ] + }, + { + "plane": "Observability", + "components": [ + "OpenTelemetry", + "Prometheus", + "Grafana", + "SIEM" + ] + }, + { + "plane": "Supply Chain", + "components": [ + "SLSA L3", + "Sigstore/Cosign", + "in-toto", + "SBOM", + "Rekor" + ] + }, + { + "plane": "Trust & Federation", + "components": [ + "JSOP", + "Trust Contract API", + "Treaty disclosure" + ] + } + ] + }, + { + "id": "M3-S2", + "title": "Kafka WORM Audit with ACL Governance", + "design": [ + "Confluent Kafka with tiered storage; 10-year retention via S3 Object Lock (Compliance mode)", + "ACLs scoped per topic per principal; SPIFFE-based service identity", + "Schema Registry with Avro evolution & compatibility = FULL_TRANSITIVE", + "Idempotent producers, exactly-once semantics on critical topics (audit, decisions)", + "Cluster-wide encryption-at-rest (KMS) + TLS 1.3 in-flight", + "Audit topics: gov.audit.decisions, gov.audit.policy, gov.audit.incidents", + "External anchoring: hourly Merkle root \u2192 Rekor transparency log" + ] + }, + { + "id": "M3-S3", + "title": "Docker Swarm Security Posture", + "controls": [ + "Manager nodes encrypted Raft logs; autolock enabled", + "Service-level secrets (no env-var secrets); Vault CSI driver", + "Network: encrypted overlay (IPSec) for inter-node traffic", + "Read-only root FS; user namespace remap; seccomp + AppArmor profiles", + "No --privileged; capability drops (CAP_DROP=ALL + minimal allow-list)", + "Image policy: signed (Cosign) + SBOM-attested (in-toto)", + "Network policies enforced at sidecar (Envoy)" + ] + }, + { + "id": "M3-S4", + "title": "Governance Sidecars (Node.js / Python)", + "design": [ + "Sidecar pattern attached to each AI workload pod/task", + "Node.js sidecar: high-throughput gateway functions (telemetry, mTLS, request shaping)", + "Python sidecar: heavy governance logic (FRIA evaluation, fairness probes, PII redaction)", + "Both sidecars expose unix-domain-socket APIs to the workload", + "Both publish to Kafka audit topics with idempotent producers", + "Health checks on /healthz; metrics on /metrics (Prometheus)" + ] + }, + { + "id": "M3-S5", + "title": "Next.js Explainability Frontend", + "design": [ + "Next.js 14 App Router; React Server Components; streaming SSR", + "Decision envelope viewer with SHAP + counterfactuals", + "Citation panel for RAG (faithfulness \u22650.92)", + "Role-based views: customer / agent / risk officer / regulator", + "i18n: EN, FR, DE, ES, ZH-Hant, JA", + "WCAG 2.2 AA + EAA 2025 accessibility" + ] + }, + { + "id": "M3-S6", + "title": "OPA Compliance-as-Code", + "design": [ + "Single source of truth: 7 policy bundles (privacy, fairness, model-tier, supply-chain, GenAI, frontier, regulator)", + "Distributed via OPA bundle server + signed bundles (Cosign)", + "5 PDPs: pre-merge gate, build gate, deploy gate, runtime sidecar, audit replay", + "Decision logs streamed to Kafka gov.audit.policy", + "Unit tests with OPA test; coverage \u226585%" + ] + }, + { + "id": "M3-S7", + "title": "Terraform + CI/CD Governance Automation", + "design": [ + "Terraform Cloud with VCS-backed workspaces; Sentinel + OPA policies", + "GitHub Actions / GitLab CI gates: SCA, SAST, IaC scan, SBOM, Cosign sign, OPA gate", + "Promotion: dev \u2192 stage \u2192 canary \u2192 prod with policy verdict at each step", + "Drift detection nightly; auto-remediation for tier-3 drift, ticket for tier-1/2", + "Audit: tf-state versioning + signed plans archived to S3 Object Lock" + ] + } + ] + }, + "M4_sectorMrm": { + "id": "M4", + "title": "M4 \u2014 Sector-Specific Financial Services MRM", + "summary": "Credit, trading, risk, fiduciary AI; T1/T2/T3 model tiers under SR 11-7 + PRA SS1/23.", + "sections": [ + { + "id": "M4-S1", + "title": "Credit Underwriting (High-Risk under EU AI Act)", + "controls": [ + "FCRA \u00a7615 adverse action \u226424h SLA", + "ECOA Reg B disparate impact", + "AIR \u22650.85", + "FRIA + DPIA" + ] + }, + { + "id": "M4-S2", + "title": "Trading & Markets", + "controls": [ + "MAR market abuse surveillance", + "Best-execution monitoring", + "Algo wind-down kill-switch \u22645s" + ] + }, + { + "id": "M4-S3", + "title": "Risk & Capital", + "controls": [ + "IFRS 9 ECL", + "Basel IRB", + "Stress testing", + "Pillar 2 model overlay" + ] + }, + { + "id": "M4-S4", + "title": "Fiduciary AI Advisors", + "controls": [ + "Suitability", + "Best interest", + "Conflicts disclosure", + "FCA Consumer Duty 4 outcomes" + ] + }, + { + "id": "M4-S5", + "title": "Model Tiering (T1/T2/T3)", + "tiers": { + "T1": "Material \u2014 board approval", + "T2": "Significant \u2014 committee approval", + "T3": "Standard \u2014 owner approval" + } + } + ] + }, + "M5_safety": { + "id": "M5", + "title": "M5 \u2014 AGI/ASI Safety & Containment Protocols", + "summary": "Capability tiers T0..T4, containment design, kinetic kill-switch \u226460s, eval gating, frontier sandbox.", + "sections": [ + { + "id": "M5-S1", + "title": "Capability Tiers (T0..T4)", + "tiers": [ + "T0 narrow", + "T1 broad", + "T2 expert-level", + "T3 self-improving", + "T4 superintelligent" + ] + }, + { + "id": "M5-S2", + "title": "Containment Design", + "controls": [ + "Air-gapped frontier sandbox (no egress)", + "Compute caps + cumulative FLOPS ledger", + "Eval gating pre-deploy (CBRN, cyber, autonomy, persuasion, deception)", + "Kinetic kill-switch \u226460s (validated quarterly)", + "Red-team disclosure obligations (US EO 14110)" + ] + }, + { + "id": "M5-S3", + "title": "Alignment Techniques", + "concepts": [ + "Constitutional AI", + "RLHF/RLAIF", + "Debate", + "Recursive reward modeling", + "Mechanistic interpretability" + ] + }, + { + "id": "M5-S4", + "title": "Crisis Simulations (7 scenarios)", + "scenarios": [ + "Frontier model exfiltration", + "Adversarial jailbreak chain", + "Cross-model collusion", + "Capability discontinuity", + "Supply-chain compromise", + "Regulator subpoena (joint ECB+Fed+PRA)", + "Black-swan systemic event" + ] + } + ] + }, + "M6_global": { + "id": "M6", + "title": "M6 \u2014 Global AI & Compute Governance", + "summary": "International compute-governance consortium, treaty-aligned systemic-risk governance, federated supervisors.", + "sections": [ + { + "id": "M6-S1", + "title": "International Compute-Governance Consortium (ICGC)", + "concepts": [ + "Compute caps (FLOPS thresholds)", + "Frontier model registration", + "Treaty annex" + ] + }, + { + "id": "M6-S2", + "title": "Treaty-Aligned Systemic-Risk Governance", + "concepts": [ + "Bilateral disclosure (US-EU-UK-SG)", + "JSOP cross-border", + "Cross-border kill-switch" + ] + }, + { + "id": "M6-S3", + "title": "Federated Supervisor Mesh", + "members": [ + "ECB SSM", + "Federal Reserve", + "PRA", + "FCA", + "MAS", + "HKMA", + "EU AI Office", + "UK AISI", + "US AISI" + ], + "transport": "mTLS + SPIFFE, Trust Contract APIs" + } + ] + }, + "M7_sentinel": { + "id": "M7", + "title": "M7 \u2014 Sentinel AI Governance Platform v2.4", + "summary": "Flagship governance platform: real-time risk telemetry, agent registry, isolation, audit replay, predictive dashboard.", + "sections": [ + { + "id": "M7-S1", + "title": "Capabilities", + "capabilities": [ + "Real-time risk telemetry (drift, fairness, faithfulness, latency)", + "Agent registry (every AI agent inventoried)", + "Isolation actions (kill-switch, quarantine, freeze)", + "Deterministic audit replay (snapshot-based)", + "Predictive governance dashboard (Prophet/ARIMA)", + "Codex Auto-Updater" + ] + }, + { + "id": "M7-S2", + "title": "Integration Surface", + "interfaces": [ + "Webhooks from CI/CD gates", + "OPA decision-log subscription", + "Kafka audit-topic consumer", + "Federated supervisor APIs", + "WorkflowAI Pro & GeminiService telemetry" + ] + }, + { + "id": "M7-S3", + "title": "Deployment Profile", + "profile": [ + "Multi-region active-active", + "Sovereign-cloud variants", + "HA Kafka, HA Postgres, HA Vector-DB" + ] + } + ] + }, + "M8_workflowai": { + "id": "M8", + "title": "M8 \u2014 WorkflowAI Pro / GeminiService", + "summary": "Enterprise platform for AI workflow recommendation, high-assurance RAG, prompt collaboration, AI safety reporting.", + "sections": [ + { + "id": "M8-S1", + "title": "Workflow Recommendation w/ Active Learning", + "features": [ + "Context-aware", + "Active-learning loops", + "Fairness probes", + "Human-on-the-loop" + ] + }, + { + "id": "M8-S2", + "title": "High-Assurance RAG", + "features": [ + "Faithfulness \u22650.92", + "Citation enforcement", + "PII redaction pre-retrieval", + "Retrieval audit" + ] + }, + { + "id": "M8-S3", + "title": "Collaborative Prompt Engineering", + "features": [ + "Versioned templates", + "4-eyes review", + "Eval-regression blocking", + "Lineage" + ] + }, + { + "id": "M8-S4", + "title": "AI Safety Reports (SR-01..SR-06)", + "reports": [ + "Existential risk", + "Misuse", + "Bias", + "Threat assessment", + "Alignment failure", + "Intl collab" + ] + }, + { + "id": "M8-S5", + "title": "GeminiService Security & Privacy", + "features": [ + "Telemetry integrity", + "GDPR PII redaction", + "EU AI Act Art. 5 prohibited-practice checks", + "Adversarial-prompt defenses" + ] + } + ] + }, + "M9_eaip": { + "id": "M9", + "title": "M9 \u2014 EAIP (Enterprise AI Implementation Platform)", + "summary": "Implementation platform binding governance to delivery: model registry, CI/CD gates, evidence pipeline, RSP generator.", + "sections": [ + { + "id": "M9-S1", + "title": "Model Registry", + "features": [ + "ISO/IEC 42001-aligned", + "RBAC", + "Lineage", + "Rollback", + "Tags", + "ModelCards" + ] + }, + { + "id": "M9-S2", + "title": "CI/CD Governance Gates", + "gates": [ + "pre-merge", + "build", + "deploy", + "canary", + "prod" + ] + }, + { + "id": "M9-S3", + "title": "Evidence Pipeline", + "design": [ + "Signed evidence (Cosign + Dilithium3)", + "Hourly Merkle anchor \u2192 Rekor", + "10-year WORM" + ] + }, + { + "id": "M9-S4", + "title": "RSP Generator (v1.0..v2.6)", + "automation": "\u226430 min per RSP; \u226595% automated by 2029" + } + ] + }, + "M10_hub": { + "id": "M10", + "title": "M10 \u2014 Enterprise AI Governance Hub", + "summary": "Single executive workspace: KPIs, incidents, regulator queries, board briefings, Codex Charter.", + "sections": [ + { + "id": "M10-S1", + "title": "Hub Surfaces", + "surfaces": [ + "KPI Cockpit (18 supervisory-grade KPIs)", + "Incident Tracker (SEV-0..SEV-3)", + "Regulator Engagement (queries + RSP delivery)", + "Board Briefing Studio", + "Codex Charter Library" + ] + }, + { + "id": "M10-S2", + "title": "Personas & Views", + "personas": [ + "Board director", + "CEO", + "CRO", + "CISO", + "CAIO", + "Regulator (read-only)", + "Auditor" + ] + }, + { + "id": "M10-S3", + "title": "Embedded Analytics", + "components": [ + "Predictive dashboard", + "Population-scale heatmap", + "Comparative replay" + ] + } + ] + }, + "M11_kpis": { + "id": "M11", + "title": "M11 \u2014 Supervisory KPIs & Self-Verifying Governance", + "summary": "18 board-tracked KPIs; TLA+/Lean obligation graphs; deterministic audit replay; ZK predicates.", + "sections": [ + { + "id": "M11-S1", + "title": "KPI Catalogue (18)", + "kpis": [ + { + "id": "KPI-01", + "name": "Time-to-regulator-approved deployment", + "target": "\u226414 days" + }, + { + "id": "KPI-02", + "name": "RSP generation latency", + "target": "\u226430 min" + }, + { + "id": "KPI-03", + "name": "Decision-traceability coverage", + "target": "\u226599.95%" + }, + { + "id": "KPI-04", + "name": "Control automation", + "target": "\u226595%" + }, + { + "id": "KPI-05", + "name": "Evidence automation", + "target": "\u226596%" + }, + { + "id": "KPI-06", + "name": "RAG faithfulness", + "target": "\u22650.92" + }, + { + "id": "KPI-07", + "name": "Blocked-harm rate", + "target": "\u226599.5%" + }, + { + "id": "KPI-08", + "name": "PII leakage rate", + "target": "\u22640.01%" + }, + { + "id": "KPI-09", + "name": "Fairness AIR floor", + "target": "\u22650.85" + }, + { + "id": "KPI-10", + "name": "Adverse-action SLA", + "target": "\u226424 h" + }, + { + "id": "KPI-11", + "name": "Reg notification (EU AI Act)", + "target": "\u226424 h" + }, + { + "id": "KPI-12", + "name": "Reg notification (GDPR)", + "target": "\u226472 h" + }, + { + "id": "KPI-13", + "name": "MTTD AI incident", + "target": "\u22644 min" + }, + { + "id": "KPI-14", + "name": "MTTR AI incident", + "target": "\u226460 min" + }, + { + "id": "KPI-15", + "name": "Kinetic kill-switch", + "target": "\u226460 s" + }, + { + "id": "KPI-16", + "name": "False-negative detection rate", + "target": "\u22640.5%" + }, + { + "id": "KPI-17", + "name": "Interpretability coverage", + "target": "\u226590%" + }, + { + "id": "KPI-18", + "name": "Federated supervisors connected", + "target": "\u22658 by 2030" + } + ] + }, + { + "id": "M11-S2", + "title": "Self-Verifying Governance", + "concepts": [ + "TLA+ obligation graphs", + "Lean machine-checkable legal logic (FCRA \u00a7615, GDPR Art. 22, EU AI Act Art. 73)", + "ZK predicates", + "Merkle anchoring \u2192 Rekor" + ] + }, + { + "id": "M11-S3", + "title": "Deterministic Audit Replay", + "features": [ + "Snapshot-based replay", + "Multi-decision comparative", + "Population-scale heatmap" + ] + } + ] + }, + "M12_incident": { + "id": "M12", + "title": "M12 \u2014 Incident Escalation & Adversarial Loop", + "summary": "SEV-0..SEV-3 severity matrix; 7-stage adversarial loop; 4 self-healing playbooks; regulator notification pipelines.", + "sections": [ + { + "id": "M12-S1", + "title": "Severity Matrix", + "matrix": { + "SEV-0": "Existential / cross-border systemic; CEO+Board+Regulator immediate", + "SEV-1": "Material; CRO+CAIO+Regulator \u226424h", + "SEV-2": "Significant; AI Risk Committee \u226472h", + "SEV-3": "Standard; Owner+Compliance \u22647d" + } + }, + { + "id": "M12-S2", + "title": "Adversarial Governance Loop", + "stages": [ + "Detect", + "Triage", + "Contain", + "Eradicate", + "Recover", + "Learn", + "Disclose" + ] + }, + { + "id": "M12-S3", + "title": "Self-Healing Playbooks", + "playbooks": [ + "SH-01 Bias-drift auto-rollback", + "SH-02 Faithfulness drop", + "SH-03 PII leak", + "SH-04 Adversarial-prompt surge" + ] + }, + { + "id": "M12-S4", + "title": "Regulator Notification Pipelines", + "pipelines": [ + "EU AI Act Art. 73: \u226424h to authority + EU AI Office", + "GDPR Art. 33: \u226472h to DPA", + "FCA / PRA: SUP 15 + SS1/23", + "US EO 14110: red-team disclosure to USG" + ] + } + ] + }, + "M13_roadmap": { + "id": "M13", + "title": "M13 \u2014 Phased Roadmap & Resource Plan (2026-2030)", + "summary": "Five phases with deliverables, FTE/cost envelopes, dependencies, exit criteria.", + "sections": [ + { + "id": "M13-S1", + "title": "Phases (P1..P5)", + "phases": [ + { + "id": "P1", + "name": "Foundation 2026 H1", + "deliverables": [ + "AIMS S1-S5", + "Inventory", + "OPA gate", + "Sentinel v2.4 deploy", + "MVAIGS" + ], + "fte": 80, + "capex_musd": 18, + "opex_musd": 22, + "exit": "ISO/IEC 42001 readiness audit pass" + }, + { + "id": "P2", + "name": "Build 2026 H2 - 2027 H1", + "deliverables": [ + "Hub MVP", + "EAIP", + "RSP v1.0-v1.5", + "Federation MVP" + ], + "fte": 140, + "capex_musd": 32, + "opex_musd": 38, + "exit": "First RSP delivered to ECB+Fed" + }, + { + "id": "P3", + "name": "Federate 2027 H2 - 2028", + "deliverables": [ + "JSOP", + "Trust Contract API", + "RSP v2.0-v2.4", + "8 supervisors connected" + ], + "fte": 180, + "capex_musd": 28, + "opex_musd": 44, + "exit": "Joint ECB+Fed+PRA exam pass" + }, + { + "id": "P4", + "name": "Predict 2029", + "deliverables": [ + "Predictive dashboard", + "TLA+/Lean specs", + "Maturity \u2265M4", + "Frontier T2 evals operational" + ], + "fte": 200, + "capex_musd": 22, + "opex_musd": 48, + "exit": "Maturity assessment \u2265M4" + }, + { + "id": "P5", + "name": "Self-Verify 2030", + "deliverables": [ + "RSP v2.6", + "Codex sealed", + "Maturity \u2265M5", + "EO 14110 reporting fully automated" + ], + "fte": 210, + "capex_musd": 18, + "opex_musd": 50, + "exit": "Maturity \u2265M5; full EO 14110 + EU AI Act compliance" + } + ], + "totals": { + "fte_peak": 210, + "capex_musd": 118, + "opex_musd_5y": 202 + } + }, + { + "id": "M13-S2", + "title": "Resource Plan & Skill Mix", + "skills": [ + "AI safety researchers (alignment, interpretability)", + "Enterprise architects", + "AI platform engineers (MLOps, SRE)", + "Governance engineers (OPA, Terraform)", + "Risk quants (SR 11-7, IRB)", + "Privacy & legal (DPO, GC office)", + "Regulator liaison" + ] + }, + { + "id": "M13-S3", + "title": "Top Risks & Mitigations", + "risks": [ + { + "risk": "Capability discontinuity", + "mitigation": "Frontier sandbox, eval gating, kill-switch" + }, + { + "risk": "Regulatory divergence", + "mitigation": "Multi-overlay AIMS + federation" + }, + { + "risk": "Supply-chain compromise", + "mitigation": "SLSA L3 + Sigstore + in-toto" + }, + { + "risk": "Talent gap", + "mitigation": "Internal academy + Codex Charter" + }, + { + "risk": "Cultural drift", + "mitigation": "Codex sealing/renewal rituals" + } + ] + } + ] + }, + "M14_audience": { + "id": "M14", + "title": "M14 \u2014 Audience-Tailored Deliverables & Artifacts", + "summary": "Per-audience artifacts: C-suite, regulators, enterprise architects, AI platform engineers, AI safety researchers.", + "sections": [ + { + "id": "M14-S1", + "title": "C-Suite Pack", + "items": [ + "Board narrative", + "KPI cockpit", + "Risk heatmap", + "Capital overlay summary", + "Codex Charter ceremony brief" + ] + }, + { + "id": "M14-S2", + "title": "Regulator Pack", + "items": [ + "RSP v1.0-v2.6", + "Trust Contract API doc", + "JSOP spec", + "Federated query simulation", + "Decision envelope viewer (read-only)" + ] + }, + { + "id": "M14-S3", + "title": "Enterprise Architect Pack", + "items": [ + "8-plane reference architecture diagrams", + "Kafka WORM ACL spec", + "Docker Swarm hardening checklist", + "Sidecar contract", + "Next.js XAI design system" + ] + }, + { + "id": "M14-S4", + "title": "AI Platform Engineer Pack", + "items": [ + "EAIP repo templates", + "OPA policy bundles", + "Terraform modules", + "CI/CD gate scripts", + "Sentinel v2.4 SDK" + ] + }, + { + "id": "M14-S5", + "title": "AI Safety Researcher Pack", + "items": [ + "Frontier eval suite", + "Red-team playbooks", + "Alignment artifacts", + "TLA+/Lean specs", + "EO 14110 disclosure templates" + ] + } + ] + }, + "schemas": { + "aiSystemInventoryEntry": { + "title": "AI System Inventory Entry (ISO/IEC 42001 Annex J1)", + "fields": [ + "systemId", + "owner", + "purpose", + "tier", + "dataClassification", + "regulatoryScope", + "lifecycleStage" + ] + }, + "decisionEnvelope": { + "title": "Decision Envelope (per AI decision)", + "fields": [ + "decisionId", + "modelId", + "inputs", + "outputs", + "explanation", + "policyEvaluation", + "signature" + ] + }, + "rspManifest": { + "title": "Regulator Submission Pack Manifest", + "fields": [ + "rspId", + "version", + "regulator", + "artifacts[]", + "signatures", + "rekorAnchor" + ] + }, + "controlMapping": { + "title": "Control Mapping (cross-regime)", + "fields": [ + "controlId", + "ifGdpr", + "ifEuAiAct", + "ifIso42001", + "ifNistRmf", + "ifSr117", + "ifEo14110", + "evidence" + ] + }, + "friaRecord": { + "title": "Fundamental Rights Impact Assessment", + "fields": [ + "friaId", + "systemId", + "rightsImpacted", + "mitigations", + "residualRisk", + "approver" + ] + }, + "incidentRecord": { + "title": "AI Incident Record", + "fields": [ + "incidentId", + "severity", + "detectedAt", + "containedAt", + "rca", + "regulatorNotification" + ] + }, + "supervisoryKpiSnapshot": { + "title": "Supervisory KPI Snapshot", + "fields": [ + "snapshotId", + "asOf", + "kpis[]", + "thresholds", + "breaches[]" + ] + }, + "trustContract": { + "title": "Trust Contract (regulator API)", + "fields": [ + "contractId", + "regulator", + "scope", + "obligations", + "expiry", + "signatures" + ] + }, + "obligationSpec": { + "title": "Formally Verified Obligation Spec (TLA+/Lean)", + "fields": [ + "specId", + "regime", + "article", + "tlaModule", + "leanTheorem", + "proofStatus" + ] + }, + "kafkaAclEntry": { + "title": "Kafka WORM ACL Entry", + "fields": [ + "principal", + "host", + "operation", + "resource", + "permission", + "expiry" + ] + } + }, + "codeExamples": [ + { + "id": "CE-01", + "title": "OPA/Rego policy gate", + "language": "rego", + "lines": 32 + }, + { + "id": "CE-02", + "title": "Terraform Kafka WORM module (Object Lock 10y)", + "language": "hcl", + "lines": 38 + }, + { + "id": "CE-03", + "title": "Docker Swarm hardened service stack", + "language": "yaml", + "lines": 46 + }, + { + "id": "CE-04", + "title": "Node.js governance sidecar (Express + Kafka producer)", + "language": "javascript", + "lines": 52 + }, + { + "id": "CE-05", + "title": "Python governance sidecar (FastAPI + FRIA evaluator)", + "language": "python", + "lines": 48 + }, + { + "id": "CE-06", + "title": "Next.js decision-envelope viewer (RSC + SHAP)", + "language": "tsx", + "lines": 60 + }, + { + "id": "CE-07", + "title": "Federated regulator client (mTLS + SPIFFE)", + "language": "python", + "lines": 42 + }, + { + "id": "CE-08", + "title": "GitHub Actions governance gate (SAST + SBOM + Cosign + OPA)", + "language": "yaml", + "lines": 56 + }, + { + "id": "CE-09", + "title": "TLA+ obligation graph (EU AI Act Art. 73)", + "language": "tla", + "lines": 24 + }, + { + "id": "CE-10", + "title": "Lean FCRA \u00a7615 spec", + "language": "lean", + "lines": 18 + }, + { + "id": "CE-11", + "title": "Self-healing playbook engine", + "language": "python", + "lines": 50 + }, + { + "id": "CE-12", + "title": "Merkle anchor + Rekor submission", + "language": "python", + "lines": 28 + } + ], + "caseStudies": [ + { + "id": "CS-01", + "title": "EU G-SIB dual ISO/IEC 42001 + EU AI Act 2026 cert", + "outcome": "Certified Q3 2026; RSP automation 92%; Sentinel v2.4 + EAIP live" + }, + { + "id": "CS-02", + "title": "US BHC US EO 14110 dual-use foundation model reporting", + "outcome": "First quarterly red-team disclosure delivered; AISI engagement live" + }, + { + "id": "CS-03", + "title": "UK PRA SS1/23 + FCA Consumer Duty integrated MRM", + "outcome": "Adverse-action SLA 18h; AIR 0.91; SMF24 sign-off automated" + }, + { + "id": "CS-04", + "title": "MAS FEAT + HKMA GenAI APAC roll-out", + "outcome": "8-region active-active live; Veritas alignment report delivered" + }, + { + "id": "CS-05", + "title": "Joint ECB+Fed+PRA examination drill", + "outcome": "Pass; <30 min RSP regen; deterministic replay across 3 supervisors" + }, + { + "id": "CS-06", + "title": "Frontier T3 containment exercise", + "outcome": "Kill-switch 42s; zero-egress sandbox; red-team disclosure to USG/UK AISI" + } + ], + "apiEndpoints": [ + "GET /api/ent-agi-ref-impl", + "GET /api/ent-agi-ref-impl/meta", + "GET /api/ent-agi-ref-impl/executive-summary", + "GET /api/ent-agi-ref-impl/summary", + "GET /api/ent-agi-ref-impl/modules", + "GET /api/ent-agi-ref-impl/modules/:id", + "GET /api/ent-agi-ref-impl/m1", + "GET /api/ent-agi-ref-impl/m2", + "GET /api/ent-agi-ref-impl/m3", + "GET /api/ent-agi-ref-impl/m4", + "GET /api/ent-agi-ref-impl/m5", + "GET /api/ent-agi-ref-impl/m6", + "GET /api/ent-agi-ref-impl/m7", + "GET /api/ent-agi-ref-impl/m8", + "GET /api/ent-agi-ref-impl/m9", + "GET /api/ent-agi-ref-impl/m10", + "GET /api/ent-agi-ref-impl/m11", + "GET /api/ent-agi-ref-impl/m12", + "GET /api/ent-agi-ref-impl/m13", + "GET /api/ent-agi-ref-impl/m14", + "GET /api/ent-agi-ref-impl/governance/pillars", + "GET /api/ent-agi-ref-impl/governance/executives", + "GET /api/ent-agi-ref-impl/governance/committees-raci", + "GET /api/ent-agi-ref-impl/regulatory/crosswalk", + "GET /api/ent-agi-ref-impl/regulatory/controls", + "GET /api/ent-agi-ref-impl/regulatory/eo14110", + "GET /api/ent-agi-ref-impl/regulatory/capital-overlay", + "GET /api/ent-agi-ref-impl/architecture/planes", + "GET /api/ent-agi-ref-impl/architecture/kafka-worm", + "GET /api/ent-agi-ref-impl/architecture/docker-swarm", + "GET /api/ent-agi-ref-impl/architecture/sidecars", + "GET /api/ent-agi-ref-impl/architecture/nextjs-xai", + "GET /api/ent-agi-ref-impl/architecture/opa", + "GET /api/ent-agi-ref-impl/architecture/terraform-cicd", + "GET /api/ent-agi-ref-impl/sector-mrm/credit", + "GET /api/ent-agi-ref-impl/sector-mrm/trading", + "GET /api/ent-agi-ref-impl/sector-mrm/risk", + "GET /api/ent-agi-ref-impl/sector-mrm/fiduciary", + "GET /api/ent-agi-ref-impl/sector-mrm/tiers", + "GET /api/ent-agi-ref-impl/safety/tiers", + "GET /api/ent-agi-ref-impl/safety/containment", + "GET /api/ent-agi-ref-impl/safety/alignment", + "GET /api/ent-agi-ref-impl/safety/scenarios", + "GET /api/ent-agi-ref-impl/global/icgc", + "GET /api/ent-agi-ref-impl/global/treaty", + "GET /api/ent-agi-ref-impl/global/federation", + "GET /api/ent-agi-ref-impl/sentinel/capabilities", + "GET /api/ent-agi-ref-impl/sentinel/integration", + "GET /api/ent-agi-ref-impl/sentinel/deployment", + "GET /api/ent-agi-ref-impl/workflowai/recommendation", + "GET /api/ent-agi-ref-impl/workflowai/rag", + "GET /api/ent-agi-ref-impl/workflowai/prompts", + "GET /api/ent-agi-ref-impl/workflowai/safety-reports", + "GET /api/ent-agi-ref-impl/workflowai/gemini-security", + "GET /api/ent-agi-ref-impl/eaip/registry", + "GET /api/ent-agi-ref-impl/eaip/cicd-gates", + "GET /api/ent-agi-ref-impl/eaip/evidence", + "GET /api/ent-agi-ref-impl/eaip/rsp-generator", + "GET /api/ent-agi-ref-impl/hub/surfaces", + "GET /api/ent-agi-ref-impl/hub/personas", + "GET /api/ent-agi-ref-impl/hub/analytics", + "GET /api/ent-agi-ref-impl/kpis/catalogue", + "GET /api/ent-agi-ref-impl/kpis/self-verify", + "GET /api/ent-agi-ref-impl/kpis/audit-replay", + "GET /api/ent-agi-ref-impl/incident/severity", + "GET /api/ent-agi-ref-impl/incident/loop", + "GET /api/ent-agi-ref-impl/incident/playbooks", + "GET /api/ent-agi-ref-impl/incident/notification", + "GET /api/ent-agi-ref-impl/roadmap/phases", + "GET /api/ent-agi-ref-impl/roadmap/resources", + "GET /api/ent-agi-ref-impl/roadmap/risks", + "GET /api/ent-agi-ref-impl/audience/c-suite", + "GET /api/ent-agi-ref-impl/audience/regulator", + "GET /api/ent-agi-ref-impl/audience/architect", + "GET /api/ent-agi-ref-impl/audience/engineer", + "GET /api/ent-agi-ref-impl/audience/researcher", + "GET /api/ent-agi-ref-impl/sections/:id", + "GET /api/ent-agi-ref-impl/schemas", + "GET /api/ent-agi-ref-impl/schemas/:name", + "GET /api/ent-agi-ref-impl/code-examples", + "GET /api/ent-agi-ref-impl/code-examples/:id", + "GET /api/ent-agi-ref-impl/case-studies", + "GET /api/ent-agi-ref-impl/case-studies/:id", + "GET /api/ent-agi-ref-impl/kpis/:id", + "GET /api/ent-agi-ref-impl/roadmap/phases/:id" + ] +} diff --git a/rag-agentic-dashboard/gen-ent-agi-ref-impl-html.py b/rag-agentic-dashboard/gen-ent-agi-ref-impl-html.py new file mode 100644 index 0000000..d514bbd --- /dev/null +++ b/rag-agentic-dashboard/gen-ent-agi-ref-impl-html.py @@ -0,0 +1,270 @@ +#!/usr/bin/env python3 +""" +WP-040 — HTML dashboard renderer for the Enterprise AGI/ASI Governance Master +Reference & Implementation Blueprint. + +Reads data/ent-agi-ref-impl.json and writes public/ent-agi-ref-impl.html. +""" +import html +import json +from pathlib import Path + +ROOT = Path(__file__).parent +SRC = ROOT / "data" / "ent-agi-ref-impl.json" +OUT = ROOT / "public" / "ent-agi-ref-impl.html" + +MODULE_ORDER = [ + "M1_governance", "M2_regulatory", "M3_architecture", "M4_sectorMrm", + "M5_safety", "M6_global", "M7_sentinel", "M8_workflowai", + "M9_eaip", "M10_hub", "M11_kpis", "M12_incident", + "M13_roadmap", "M14_audience", +] + + +def esc(v): + if v is None: + return "" + if isinstance(v, (dict, list)): + return html.escape(json.dumps(v, indent=2, ensure_ascii=False)) + return html.escape(str(v)) + + +def render_value(v): + if isinstance(v, list): + if not v: + return "" + if all(isinstance(x, str) for x in v): + return "" + return "" + if isinstance(v, dict): + rows = "".join(f"{esc(k)}{render_value(val)}" + for k, val in v.items()) + return f"{rows}
" + return esc(v) + + +def render_section(s): + sid = s.get("id", "") + title = s.get("title", "") + parts = [f"
" + f"

{esc(sid)} — {esc(title)}

"] + for k, v in s.items(): + if k in ("id", "title"): + continue + parts.append(f"
{esc(k)}
" + f"
{render_value(v)}
") + parts.append("
") + return "".join(parts) + + +def render_module(m): + mid = m.get("id", "") + title = m.get("title", "") + summary = m.get("summary", "") + sections = m.get("sections", []) + body = "".join(render_section(s) for s in sections) + return (f"
" + f"

{esc(title)}

" + f"

{esc(summary)}

{body}
") + + +def main(): + data = json.loads(SRC.read_text()) + meta = data.get("meta", {}) + es = data.get("executiveSummary", {}) + + n_modules = sum(1 for k in MODULE_ORDER if k in data) + n_sections = sum(len(data[k].get("sections", [])) for k in MODULE_ORDER if k in data) + n_schemas = len(data.get("schemas", {})) + n_code = len(data.get("codeExamples", [])) + n_cases = len(data.get("caseStudies", [])) + n_routes = len(data.get("apiEndpoints", [])) + + toc_items = "".join( + f"
  • {esc(data[k]['id'])} — " + f"{esc(data[k]['title'].split(' — ', 1)[-1] if ' — ' in data[k]['title'] else data[k]['title'])}
  • " + for k in MODULE_ORDER if k in data + ) + modules_html = "".join(render_module(data[k]) for k in MODULE_ORDER if k in data) + + schemas_html = "".join( + f"

    {esc(name)}

    " + f"

    {esc(spec.get('title', ''))}

    " + f"
    {esc(spec.get('fields', []))}
    " + for name, spec in data.get("schemas", {}).items() + ) + code_html = "".join( + f"{esc(c.get('id'))}{esc(c.get('title'))}" + f"{esc(c.get('language'))}{esc(c.get('lines'))}" + for c in data.get("codeExamples", []) + ) + cases_html = "".join( + f"{esc(c.get('id'))}{esc(c.get('title'))}" + f"{esc(c.get('outcome'))}" + for c in data.get("caseStudies", []) + ) + routes_html = "".join(f"
  • {esc(r)}
  • " for r in data.get("apiEndpoints", [])) + reg_html = "".join(f"
  • {esc(r)}
  • " for r in meta.get("regulatoryAlignment", [])) + builds_html = "".join(f"
  • {esc(r)}
  • " for r in meta.get("buildsOn", [])) + aud_html = "".join(f"
  • {esc(a)}
  • " for a in meta.get("audience", [])) + outcomes_html = "".join(f"
  • {esc(o)}
  • " for o in es.get("keyOutcomes", [])) + principles_html = "".join(f"
  • {esc(p)}
  • " for p in es.get("designPrinciples", [])) + + page = f""" + + + + +{esc(meta.get('docRef'))} — {esc(meta.get('title'))} + + + +
    +
    +

    {esc(meta.get('title'))}

    +

    {esc(meta.get('subtitle'))}

    +
    + {esc(meta.get('docRef'))} + v{esc(meta.get('version'))} + {esc(meta.get('horizon'))} + {esc(meta.get('classification'))} +
    +
    + EU AI Act 2026 + NIST AI RMF 1.0 + ISO/IEC 42001 + GDPR + SR 11-7 + Basel III/IV + PRA / FCA / MAS / HKMA + US EO 14110 + SLSA L3 + Sigstore +
    +
    +
    + +
    + +
    +
    {n_modules}
    Modules
    +
    {n_sections}
    Sections
    +
    8
    Architectural Planes
    +
    320
    Controls
    +
    18
    KPIs
    +
    {n_schemas}
    JSON Schemas
    +
    {n_code}
    Code Examples
    +
    {n_cases}
    Case Studies
    +
    {n_routes}
    API Routes
    +
    + +

    Executive Summary

    +
    +

    Purpose

    +

    {esc(es.get('purpose'))}

    +

    Scope

    +

    {esc(es.get('scope'))}

    +

    Design Principles

    + +

    Key Outcomes

    + +

    Board Narrative

    +

    {esc(es.get('boardNarrative'))}

    +
    + +

    Builds On (Workpackage Lineage)

    + + +

    Document Metadata

    + + + + + +
    Owner{esc(meta.get('owner'))}
    Audience
      {aud_html}
    Subject System{render_value(meta.get('subjectSystem') or {})}
    Deliverable Inventory{render_value(meta.get('deliverableInventory') or {})}
    + +

    Regulatory Alignment

    + + +

    Table of Contents

    +
    + +{modules_html} + +

    JSON Schemas ({n_schemas})

    +
    {schemas_html}
    + +

    Code Examples ({n_code})

    + + +{code_html} +
    IDTitleLanguageLines
    + +

    Case Studies ({n_cases})

    + + +{cases_html} +
    IDTitleOutcome
    + +

    API Endpoints ({n_routes})

    + + + + +
    + + +""" + + OUT.parent.mkdir(parents=True, exist_ok=True) + OUT.write_text(page) + size_kb = OUT.stat().st_size / 1024 + print(f"[OK] Generated {OUT} ({size_kb:.1f} KB)") + print(f" modules={n_modules} sections={n_sections} schemas={n_schemas} " + f"code={n_code} cases={n_cases} routes={n_routes}") + + +if __name__ == "__main__": + main() diff --git a/rag-agentic-dashboard/gen-ent-agi-ref-impl.py b/rag-agentic-dashboard/gen-ent-agi-ref-impl.py new file mode 100644 index 0000000..b60ad86 --- /dev/null +++ b/rag-agentic-dashboard/gen-ent-agi-ref-impl.py @@ -0,0 +1,901 @@ +#!/usr/bin/env python3 +""" +WP-040 — Enterprise AGI/ASI Governance Master Reference & Implementation +Blueprint (2026-2030) for Fortune 500 / Global 2000 / G-SIFI institutions. + +Outputs: data/ent-agi-ref-impl.json (idempotent) +""" +import json +from pathlib import Path + +OUT = Path(__file__).parent / "data" / "ent-agi-ref-impl.json" +DOC_REF = "ENT-AGI-REF-IMPL-WP-040" +VERSION = "1.0.0" +HORIZON = "2026-2030" + + +def meta(): + return { + "docRef": DOC_REF, + "version": VERSION, + "date": "2026-05-04", + "title": "Enterprise AGI/ASI Governance Master Reference & Implementation Blueprint", + "subtitle": "Regulator-Ready Reference Architectures, Platform Specs & Phased Roadmap for Fortune 500 / Global 2000 / G-SIFI Institutions (2026-2030)", + "classification": "CONFIDENTIAL — Board / Audit Committee / CRO / CISO / Prudential Supervisor", + "owner": "Group CEO + Chief AI Officer (CAIO) — co-signed by CRO, CISO, GC, DPO, Head of Internal Audit", + "audience": [ + "C-Suite (CEO, CFO, CRO, CIO, CISO, CAIO, GC, DPO)", + "Board of Directors and Audit / Risk Committees", + "Prudential supervisors and AI safety regulators", + "Enterprise architects", + "AI platform engineers and MLOps SREs", + "AI safety researchers", + ], + "horizon": HORIZON, + "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", + ], + "regulatoryAlignment": [ + "EU AI Act (Reg. 2024/1689) — Aug 2026 High-Risk + Aug 2025 GPAI; Arts 5,6,9,10,12-15,17,26-27,49,53,55,72,73", + "NIST AI RMF 1.0 (Govern/Map/Measure/Manage) + AI 600-1 GenAI Profile", + "ISO/IEC 42001:2023 (AIMS); ISO/IEC 23894 (AI Risk); ISO/IEC 5338, 27001, 27701, 27018", + "OECD AI Principles (2019, updated 2024)", + "GDPR/UK GDPR — Arts 5, 6, 9, 22, 25, 32-35", + "US — FCRA §604/§615, ECOA Reg B, FFIEC SR 11-7, OCC 2011-12, CFPB Circulars", + "US Executive Order 14110 (Safe, Secure, Trustworthy AI) — agency obligations & red-team disclosure", + "Basel III/IV + BCBS 239 risk data aggregation", + "PRA SS1/23 (MRM), PRA SS2/21 (third-party risk)", + "FCA Consumer Duty PS22/9; FCA SMCR (SYSC, COCON, SMF24)", + "MAS FEAT Principles; MAS Veritas", + "HKMA GenAI Guidance (Sept 2024); HKMA SPM AI", + "OWASP LLM Top 10 (2025); MITRE ATLAS; STRIDE; LINDDUN", + "SLSA L3, in-toto, Sigstore/Cosign, Rekor; SOC 2 Type II; FedRAMP High", + ], + "subjectSystem": { + "scope": "All AI/ML systems across the enterprise — discriminative, generative, agentic, frontier AGI/ASI", + "scale": "Fortune 500 / Global 2000 / G-SIFI; >100k staff; >50 jurisdictions; >1M concurrent inferences", + "deployment": "Multi-region active-active hybrid + sovereign-cloud variants (EU, UK-Gov, US-Gov, SG-Gov)", + "platforms": [ + "Sentinel AI Governance Platform v2.4", + "WorkflowAI Pro / GeminiService", + "EAIP (Enterprise AI Implementation Platform)", + "Enterprise AI Governance Hub", + ], + }, + "deliverableInventory": { + "modules": 14, + "sections": 50, + "schemas": 10, + "codeExamples": 12, + "caseStudies": 6, + "apiRoutes": 90, + "phases": 5, + "kpis": 18, + "controls": 320, + }, + } + + +def executive_summary(): + return { + "purpose": ( + "Deliver a single, regulator-ready, board-approvable Enterprise AGI/ASI Governance " + "Master Reference & Implementation Blueprint for Fortune 500 / Global 2000 / G-SIFI " + "institutions, integrating reference architectures, sector MRM, AGI/ASI safety, " + "global compute governance, four flagship platforms, and a phased 2026-2030 roadmap." + ), + "scope": ( + "Covers regulator-ready governance architectures; cross-jurisdiction alignment " + "(EU AI Act 2026 High-Risk + GPAI, NIST AI RMF, ISO/IEC 42001, OECD, GDPR, FCRA/ECOA, " + "Basel III, SR 11-7, PRA, FCA, MAS, HKMA, SMCR, Consumer Duty, US EO 14110); " + "enterprise AI reference & compliance architectures (Kafka WORM with ACL governance, " + "Docker Swarm security, Node.js/Python governance sidecars, Next.js explainability " + "frontends, OPA compliance-as-code, Terraform & CI/CD governance automation); " + "sector-specific financial-services MRM; AGI/ASI safety & containment; global AI " + "& compute governance; platform implementation specs (Sentinel v2.4, WorkflowAI Pro, " + "EAIP, Enterprise AI Governance Hub); and a 5-phase resource-loaded roadmap." + ), + "designPrinciples": [ + "Compliance-by-design and compliance-as-code (OPA/Rego)", + "Defense-in-depth across 8 architectural planes + 3 lines of defense", + "Evidence-as-data (every governance event generates immutable, signed evidence)", + "Self-verifying governance (TLA+ / Lean machine-checkable obligations)", + "Regulator-integrated by default (federated supervisors, JSOP)", + "Human-on-the-loop for high-risk (Art. 14 EU AI Act, SR 11-7 effective challenge)", + "Frontier-safety-aware (capability tiers, kinetic kill-switch ≤60s)", + "Platform-first delivery (Sentinel + WorkflowAI Pro + EAIP + Hub)", + ], + "keyOutcomes": [ + "≤14 days time-to-regulator-approved deployment", + "≥0.92 RAG faithfulness · ≤0.01% PII leakage · ≥99.5% blocked-harm rate", + "100% AI inventory coverage · 320 controls · ≥95% automation", + "Decision-traceability ≥99.95% with Ed25519 + Dilithium3 hybrid signing", + "Kinetic kill-switch ≤60s · MTTD ≤4 min · MTTR ≤60 min", + "Fairness AIR ≥0.85 · adverse-action SLA ≤24 h", + "Reg notification ≤24 h (EU AI Act Art. 73) / ≤72 h (GDPR Art. 33)", + "≥8 federated supervisors connected via JSOP by 2030", + "AGI Governance Maturity ≥M4 (Predictive) by 2029, ≥M5 by 2030", + ], + "boardNarrative": ( + "AI is now both a strategic capability and a regulated activity. This master " + "reference delivers the architectures, platforms, controls, and roadmap to operate " + "AI safely, fairly, profitably, and prudentially through 2030 — including under " + "frontier AGI/ASI conditions, multi-regulator scrutiny, and US EO 14110 obligations." + ), + } + + +# ---------------- MODULES ---------------- +def m1_governance_architecture(): + return { + "id": "M1", + "title": "M1 — Regulator-Ready AI Governance Architectures", + "summary": "Board-to-engineer governance stack with 8 pillars, 3LoD, executive accountability, and regulator integration.", + "sections": [ + { + "id": "M1-S1", + "title": "Eight Governance Pillars", + "pillars": [ + "P1 Strategic Alignment (board AI strategy, risk appetite)", + "P2 Regulatory Compliance (multi-jurisdiction)", + "P3 Risk Management (FRIA/DPIA, MRM)", + "P4 Ethics & Fairness (FEAT, AIR ≥0.85)", + "P5 Safety & Containment (frontier tiers, kill-switch)", + "P6 Security & Privacy (zero-trust, OWASP LLM Top 10)", + "P7 Transparency & Explainability (XAI, decision envelopes)", + "P8 Accountability & Audit (3LoD, IA, regulator-integrated)", + ], + }, + { + "id": "M1-S2", + "title": "Executive Accountability & Three Lines of Defense", + "executives": { + "Board": "Approves AI strategy, risk appetite, Codex Charter", + "CEO": "Single accountable executive; signs Regulator Submission Packs", + "CAIO": "Owns AIMS, model registry, frontier safety; chairs AI Risk Committee", + "CRO": "Owns AI risk taxonomy, FRIA, capital overlays, SR 11-7 effective challenge", + "CISO": "Owns AI security, OWASP LLM Top 10 defense", + "DPO": "Owns GDPR/PII, DPIA, data subject rights", + "GC": "Owns regulatory mapping, Art. 73 notifications, EO 14110 disclosure", + "IA": "Independent assurance", + }, + "lod": ["1LoD Business owners", "2LoD Risk & Compliance", "3LoD Internal Audit"], + }, + { + "id": "M1-S3", + "title": "Committees & RACI", + "committees": [ + "AI Risk Committee (CAIO, quarterly)", + "AI Ethics & Fairness Council (GC, monthly)", + "Frontier Safety Board (CRO, ad-hoc + quarterly)", + "Model Risk Committee (CRO, monthly SR 11-7)", + "Regulator Engagement Forum (GC, on-call + quarterly)", + ], + "raci": "320 controls × Board/CEO/CAIO/CRO/CISO/DPO/GC/IA", + }, + ], + } + + +def m2_regulatory(): + return { + "id": "M2", + "title": "M2 — Multi-Jurisdiction Regulatory Alignment Matrix", + "summary": "20 regulatory regimes mapped to 320 controls including US EO 14110.", + "sections": [ + { + "id": "M2-S1", + "title": "Crosswalk (20 regimes)", + "regimes": [ + {"regime": "EU AI Act", "key": "Aug 2026 High-Risk + Aug 2025 GPAI; Arts 5-15, 26-27, 49, 53, 55, 72-73"}, + {"regime": "NIST AI RMF 1.0 + AI 600-1", "key": "Govern/Map/Measure/Manage + GenAI Profile"}, + {"regime": "ISO/IEC 42001", "key": "AIMS clauses 4-10 + Annex A"}, + {"regime": "ISO/IEC 23894", "key": "AI Risk Management"}, + {"regime": "OECD AI Principles", "key": "5 values + 5 recs"}, + {"regime": "GDPR/UK GDPR", "key": "Arts 5, 6, 9, 22, 25, 32-35"}, + {"regime": "FCRA §604/§615", "key": "Adverse action, permissible purpose"}, + {"regime": "ECOA Reg B", "key": "Disparate impact"}, + {"regime": "FFIEC SR 11-7 / OCC 2011-12", "key": "MRM lifecycle"}, + {"regime": "Basel III/IV + BCBS 239", "key": "Risk data, capital"}, + {"regime": "PRA SS1/23", "key": "MRM principles 1-5"}, + {"regime": "PRA SS2/21", "key": "Outsourcing & 3rd-party"}, + {"regime": "FCA Consumer Duty PS22/9", "key": "4 outcomes, cross-cutting"}, + {"regime": "FCA SMCR", "key": "SYSC, COCON, SMF24"}, + {"regime": "MAS FEAT + Veritas", "key": "Fairness, Ethics, Accountability, Transparency"}, + {"regime": "HKMA GenAI Sept 2024", "key": "SPM AI"}, + {"regime": "US EO 14110", "key": "Safe/Secure/Trustworthy AI; red-team disclosure for dual-use foundation models"}, + {"regime": "OWASP LLM Top 10 (2025)", "key": "Prompt inj, data leak, supply chain"}, + {"regime": "MITRE ATLAS", "key": "Adversarial ML tactics"}, + {"regime": "SLSA L3 / Sigstore / in-toto", "key": "Supply-chain integrity"}, + ], + }, + { + "id": "M2-S2", + "title": "Control Inventory", + "stats": {"controls": 320, "automation": "≥95%", "WORM": "10 years"}, + }, + { + "id": "M2-S3", + "title": "US EO 14110 Specifics", + "obligations": [ + "Dual-use foundation model reporting (compute thresholds)", + "Red-team results disclosure to USG", + "Watermarking & content provenance", + "AI Safety Institute coordination", + "Critical-infrastructure AI risk reporting", + ], + }, + { + "id": "M2-S4", + "title": "Capital Overlay Triggers", + "triggers": [ + "MRM tier T1 → Pillar 2 model risk overlay", + "AI incidents SEV-0/1 → operational risk overlay", + "Fairness drift > 5pp → conduct overlay", + ], + }, + ], + } + + +def m3_reference_architecture(): + return { + "id": "M3", + "title": "M3 — Enterprise AI Reference & Compliance Architectures", + "summary": "8 architectural planes + concrete compliance stack: Kafka WORM, Docker Swarm, sidecars, Next.js XAI, OPA, Terraform/CI-CD.", + "sections": [ + { + "id": "M3-S1", + "title": "Eight Architectural Planes", + "planes": [ + {"plane": "Edge & Identity", "components": ["WAF/CDN", "OIDC/OAuth2", "mTLS", "SPIFFE/SPIRE"]}, + {"plane": "Application", "components": ["WorkflowAI Pro", "Adaptive UX", "Tasks/Reports", "Board Briefing"]}, + {"plane": "AI", "components": ["GeminiService gateway", "Model registry", "RAG", "Agents", "Frontier sandbox"]}, + {"plane": "Governance", "components": ["OPA/Rego", "PDPs", "FRIA/DPIA engine", "Codex Auto-Updater"]}, + {"plane": "Data", "components": ["Lakehouse", "Feature store", "Vector DB", "Kafka WORM", "Lineage"]}, + {"plane": "Observability", "components": ["OpenTelemetry", "Prometheus", "Grafana", "SIEM"]}, + {"plane": "Supply Chain", "components": ["SLSA L3", "Sigstore/Cosign", "in-toto", "SBOM", "Rekor"]}, + {"plane": "Trust & Federation", "components": ["JSOP", "Trust Contract API", "Treaty disclosure"]}, + ], + }, + { + "id": "M3-S2", + "title": "Kafka WORM Audit with ACL Governance", + "design": [ + "Confluent Kafka with tiered storage; 10-year retention via S3 Object Lock (Compliance mode)", + "ACLs scoped per topic per principal; SPIFFE-based service identity", + "Schema Registry with Avro evolution & compatibility = FULL_TRANSITIVE", + "Idempotent producers, exactly-once semantics on critical topics (audit, decisions)", + "Cluster-wide encryption-at-rest (KMS) + TLS 1.3 in-flight", + "Audit topics: gov.audit.decisions, gov.audit.policy, gov.audit.incidents", + "External anchoring: hourly Merkle root → Rekor transparency log", + ], + }, + { + "id": "M3-S3", + "title": "Docker Swarm Security Posture", + "controls": [ + "Manager nodes encrypted Raft logs; autolock enabled", + "Service-level secrets (no env-var secrets); Vault CSI driver", + "Network: encrypted overlay (IPSec) for inter-node traffic", + "Read-only root FS; user namespace remap; seccomp + AppArmor profiles", + "No --privileged; capability drops (CAP_DROP=ALL + minimal allow-list)", + "Image policy: signed (Cosign) + SBOM-attested (in-toto)", + "Network policies enforced at sidecar (Envoy)", + ], + }, + { + "id": "M3-S4", + "title": "Governance Sidecars (Node.js / Python)", + "design": [ + "Sidecar pattern attached to each AI workload pod/task", + "Node.js sidecar: high-throughput gateway functions (telemetry, mTLS, request shaping)", + "Python sidecar: heavy governance logic (FRIA evaluation, fairness probes, PII redaction)", + "Both sidecars expose unix-domain-socket APIs to the workload", + "Both publish to Kafka audit topics with idempotent producers", + "Health checks on /healthz; metrics on /metrics (Prometheus)", + ], + }, + { + "id": "M3-S5", + "title": "Next.js Explainability Frontend", + "design": [ + "Next.js 14 App Router; React Server Components; streaming SSR", + "Decision envelope viewer with SHAP + counterfactuals", + "Citation panel for RAG (faithfulness ≥0.92)", + "Role-based views: customer / agent / risk officer / regulator", + "i18n: EN, FR, DE, ES, ZH-Hant, JA", + "WCAG 2.2 AA + EAA 2025 accessibility", + ], + }, + { + "id": "M3-S6", + "title": "OPA Compliance-as-Code", + "design": [ + "Single source of truth: 7 policy bundles (privacy, fairness, model-tier, supply-chain, GenAI, frontier, regulator)", + "Distributed via OPA bundle server + signed bundles (Cosign)", + "5 PDPs: pre-merge gate, build gate, deploy gate, runtime sidecar, audit replay", + "Decision logs streamed to Kafka gov.audit.policy", + "Unit tests with OPA test; coverage ≥85%", + ], + }, + { + "id": "M3-S7", + "title": "Terraform + CI/CD Governance Automation", + "design": [ + "Terraform Cloud with VCS-backed workspaces; Sentinel + OPA policies", + "GitHub Actions / GitLab CI gates: SCA, SAST, IaC scan, SBOM, Cosign sign, OPA gate", + "Promotion: dev → stage → canary → prod with policy verdict at each step", + "Drift detection nightly; auto-remediation for tier-3 drift, ticket for tier-1/2", + "Audit: tf-state versioning + signed plans archived to S3 Object Lock", + ], + }, + ], + } + + +def m4_sector_mrm(): + return { + "id": "M4", + "title": "M4 — Sector-Specific Financial Services MRM", + "summary": "Credit, trading, risk, fiduciary AI; T1/T2/T3 model tiers under SR 11-7 + PRA SS1/23.", + "sections": [ + { + "id": "M4-S1", + "title": "Credit Underwriting (High-Risk under EU AI Act)", + "controls": ["FCRA §615 adverse action ≤24h SLA", "ECOA Reg B disparate impact", "AIR ≥0.85", "FRIA + DPIA"], + }, + { + "id": "M4-S2", + "title": "Trading & Markets", + "controls": ["MAR market abuse surveillance", "Best-execution monitoring", "Algo wind-down kill-switch ≤5s"], + }, + { + "id": "M4-S3", + "title": "Risk & Capital", + "controls": ["IFRS 9 ECL", "Basel IRB", "Stress testing", "Pillar 2 model overlay"], + }, + { + "id": "M4-S4", + "title": "Fiduciary AI Advisors", + "controls": ["Suitability", "Best interest", "Conflicts disclosure", "FCA Consumer Duty 4 outcomes"], + }, + { + "id": "M4-S5", + "title": "Model Tiering (T1/T2/T3)", + "tiers": {"T1": "Material — board approval", "T2": "Significant — committee approval", "T3": "Standard — owner approval"}, + }, + ], + } + + +def m5_safety_containment(): + return { + "id": "M5", + "title": "M5 — AGI/ASI Safety & Containment Protocols", + "summary": "Capability tiers T0..T4, containment design, kinetic kill-switch ≤60s, eval gating, frontier sandbox.", + "sections": [ + { + "id": "M5-S1", + "title": "Capability Tiers (T0..T4)", + "tiers": ["T0 narrow", "T1 broad", "T2 expert-level", "T3 self-improving", "T4 superintelligent"], + }, + { + "id": "M5-S2", + "title": "Containment Design", + "controls": [ + "Air-gapped frontier sandbox (no egress)", + "Compute caps + cumulative FLOPS ledger", + "Eval gating pre-deploy (CBRN, cyber, autonomy, persuasion, deception)", + "Kinetic kill-switch ≤60s (validated quarterly)", + "Red-team disclosure obligations (US EO 14110)", + ], + }, + { + "id": "M5-S3", + "title": "Alignment Techniques", + "concepts": ["Constitutional AI", "RLHF/RLAIF", "Debate", "Recursive reward modeling", "Mechanistic interpretability"], + }, + { + "id": "M5-S4", + "title": "Crisis Simulations (7 scenarios)", + "scenarios": [ + "Frontier model exfiltration", + "Adversarial jailbreak chain", + "Cross-model collusion", + "Capability discontinuity", + "Supply-chain compromise", + "Regulator subpoena (joint ECB+Fed+PRA)", + "Black-swan systemic event", + ], + }, + ], + } + + +def m6_global_compute(): + return { + "id": "M6", + "title": "M6 — Global AI & Compute Governance", + "summary": "International compute-governance consortium, treaty-aligned systemic-risk governance, federated supervisors.", + "sections": [ + { + "id": "M6-S1", + "title": "International Compute-Governance Consortium (ICGC)", + "concepts": ["Compute caps (FLOPS thresholds)", "Frontier model registration", "Treaty annex"], + }, + { + "id": "M6-S2", + "title": "Treaty-Aligned Systemic-Risk Governance", + "concepts": ["Bilateral disclosure (US-EU-UK-SG)", "JSOP cross-border", "Cross-border kill-switch"], + }, + { + "id": "M6-S3", + "title": "Federated Supervisor Mesh", + "members": ["ECB SSM", "Federal Reserve", "PRA", "FCA", "MAS", "HKMA", "EU AI Office", "UK AISI", "US AISI"], + "transport": "mTLS + SPIFFE, Trust Contract APIs", + }, + ], + } + + +def m7_sentinel_v24(): + return { + "id": "M7", + "title": "M7 — Sentinel AI Governance Platform v2.4", + "summary": "Flagship governance platform: real-time risk telemetry, agent registry, isolation, audit replay, predictive dashboard.", + "sections": [ + { + "id": "M7-S1", + "title": "Capabilities", + "capabilities": [ + "Real-time risk telemetry (drift, fairness, faithfulness, latency)", + "Agent registry (every AI agent inventoried)", + "Isolation actions (kill-switch, quarantine, freeze)", + "Deterministic audit replay (snapshot-based)", + "Predictive governance dashboard (Prophet/ARIMA)", + "Codex Auto-Updater", + ], + }, + { + "id": "M7-S2", + "title": "Integration Surface", + "interfaces": [ + "Webhooks from CI/CD gates", + "OPA decision-log subscription", + "Kafka audit-topic consumer", + "Federated supervisor APIs", + "WorkflowAI Pro & GeminiService telemetry", + ], + }, + { + "id": "M7-S3", + "title": "Deployment Profile", + "profile": ["Multi-region active-active", "Sovereign-cloud variants", "HA Kafka, HA Postgres, HA Vector-DB"], + }, + ], + } + + +def m8_workflowai_pro(): + return { + "id": "M8", + "title": "M8 — WorkflowAI Pro / GeminiService", + "summary": "Enterprise platform for AI workflow recommendation, high-assurance RAG, prompt collaboration, AI safety reporting.", + "sections": [ + { + "id": "M8-S1", + "title": "Workflow Recommendation w/ Active Learning", + "features": ["Context-aware", "Active-learning loops", "Fairness probes", "Human-on-the-loop"], + }, + { + "id": "M8-S2", + "title": "High-Assurance RAG", + "features": ["Faithfulness ≥0.92", "Citation enforcement", "PII redaction pre-retrieval", "Retrieval audit"], + }, + { + "id": "M8-S3", + "title": "Collaborative Prompt Engineering", + "features": ["Versioned templates", "4-eyes review", "Eval-regression blocking", "Lineage"], + }, + { + "id": "M8-S4", + "title": "AI Safety Reports (SR-01..SR-06)", + "reports": ["Existential risk", "Misuse", "Bias", "Threat assessment", "Alignment failure", "Intl collab"], + }, + { + "id": "M8-S5", + "title": "GeminiService Security & Privacy", + "features": ["Telemetry integrity", "GDPR PII redaction", "EU AI Act Art. 5 prohibited-practice checks", "Adversarial-prompt defenses"], + }, + ], + } + + +def m9_eaip(): + return { + "id": "M9", + "title": "M9 — EAIP (Enterprise AI Implementation Platform)", + "summary": "Implementation platform binding governance to delivery: model registry, CI/CD gates, evidence pipeline, RSP generator.", + "sections": [ + { + "id": "M9-S1", + "title": "Model Registry", + "features": ["ISO/IEC 42001-aligned", "RBAC", "Lineage", "Rollback", "Tags", "ModelCards"], + }, + { + "id": "M9-S2", + "title": "CI/CD Governance Gates", + "gates": ["pre-merge", "build", "deploy", "canary", "prod"], + }, + { + "id": "M9-S3", + "title": "Evidence Pipeline", + "design": ["Signed evidence (Cosign + Dilithium3)", "Hourly Merkle anchor → Rekor", "10-year WORM"], + }, + { + "id": "M9-S4", + "title": "RSP Generator (v1.0..v2.6)", + "automation": "≤30 min per RSP; ≥95% automated by 2029", + }, + ], + } + + +def m10_governance_hub(): + return { + "id": "M10", + "title": "M10 — Enterprise AI Governance Hub", + "summary": "Single executive workspace: KPIs, incidents, regulator queries, board briefings, Codex Charter.", + "sections": [ + { + "id": "M10-S1", + "title": "Hub Surfaces", + "surfaces": [ + "KPI Cockpit (18 supervisory-grade KPIs)", + "Incident Tracker (SEV-0..SEV-3)", + "Regulator Engagement (queries + RSP delivery)", + "Board Briefing Studio", + "Codex Charter Library", + ], + }, + { + "id": "M10-S2", + "title": "Personas & Views", + "personas": ["Board director", "CEO", "CRO", "CISO", "CAIO", "Regulator (read-only)", "Auditor"], + }, + { + "id": "M10-S3", + "title": "Embedded Analytics", + "components": ["Predictive dashboard", "Population-scale heatmap", "Comparative replay"], + }, + ], + } + + +def m11_kpis_self_verifying(): + return { + "id": "M11", + "title": "M11 — Supervisory KPIs & Self-Verifying Governance", + "summary": "18 board-tracked KPIs; TLA+/Lean obligation graphs; deterministic audit replay; ZK predicates.", + "sections": [ + { + "id": "M11-S1", + "title": "KPI Catalogue (18)", + "kpis": [ + {"id": "KPI-01", "name": "Time-to-regulator-approved deployment", "target": "≤14 days"}, + {"id": "KPI-02", "name": "RSP generation latency", "target": "≤30 min"}, + {"id": "KPI-03", "name": "Decision-traceability coverage", "target": "≥99.95%"}, + {"id": "KPI-04", "name": "Control automation", "target": "≥95%"}, + {"id": "KPI-05", "name": "Evidence automation", "target": "≥96%"}, + {"id": "KPI-06", "name": "RAG faithfulness", "target": "≥0.92"}, + {"id": "KPI-07", "name": "Blocked-harm rate", "target": "≥99.5%"}, + {"id": "KPI-08", "name": "PII leakage rate", "target": "≤0.01%"}, + {"id": "KPI-09", "name": "Fairness AIR floor", "target": "≥0.85"}, + {"id": "KPI-10", "name": "Adverse-action SLA", "target": "≤24 h"}, + {"id": "KPI-11", "name": "Reg notification (EU AI Act)", "target": "≤24 h"}, + {"id": "KPI-12", "name": "Reg notification (GDPR)", "target": "≤72 h"}, + {"id": "KPI-13", "name": "MTTD AI incident", "target": "≤4 min"}, + {"id": "KPI-14", "name": "MTTR AI incident", "target": "≤60 min"}, + {"id": "KPI-15", "name": "Kinetic kill-switch", "target": "≤60 s"}, + {"id": "KPI-16", "name": "False-negative detection rate", "target": "≤0.5%"}, + {"id": "KPI-17", "name": "Interpretability coverage", "target": "≥90%"}, + {"id": "KPI-18", "name": "Federated supervisors connected", "target": "≥8 by 2030"}, + ], + }, + { + "id": "M11-S2", + "title": "Self-Verifying Governance", + "concepts": ["TLA+ obligation graphs", "Lean machine-checkable legal logic (FCRA §615, GDPR Art. 22, EU AI Act Art. 73)", "ZK predicates", "Merkle anchoring → Rekor"], + }, + { + "id": "M11-S3", + "title": "Deterministic Audit Replay", + "features": ["Snapshot-based replay", "Multi-decision comparative", "Population-scale heatmap"], + }, + ], + } + + +def m12_incident_adversarial(): + return { + "id": "M12", + "title": "M12 — Incident Escalation & Adversarial Loop", + "summary": "SEV-0..SEV-3 severity matrix; 7-stage adversarial loop; 4 self-healing playbooks; regulator notification pipelines.", + "sections": [ + { + "id": "M12-S1", + "title": "Severity Matrix", + "matrix": { + "SEV-0": "Existential / cross-border systemic; CEO+Board+Regulator immediate", + "SEV-1": "Material; CRO+CAIO+Regulator ≤24h", + "SEV-2": "Significant; AI Risk Committee ≤72h", + "SEV-3": "Standard; Owner+Compliance ≤7d", + }, + }, + { + "id": "M12-S2", + "title": "Adversarial Governance Loop", + "stages": ["Detect", "Triage", "Contain", "Eradicate", "Recover", "Learn", "Disclose"], + }, + { + "id": "M12-S3", + "title": "Self-Healing Playbooks", + "playbooks": ["SH-01 Bias-drift auto-rollback", "SH-02 Faithfulness drop", "SH-03 PII leak", "SH-04 Adversarial-prompt surge"], + }, + { + "id": "M12-S4", + "title": "Regulator Notification Pipelines", + "pipelines": [ + "EU AI Act Art. 73: ≤24h to authority + EU AI Office", + "GDPR Art. 33: ≤72h to DPA", + "FCA / PRA: SUP 15 + SS1/23", + "US EO 14110: red-team disclosure to USG", + ], + }, + ], + } + + +def m13_roadmap_resources(): + return { + "id": "M13", + "title": "M13 — Phased Roadmap & Resource Plan (2026-2030)", + "summary": "Five phases with deliverables, FTE/cost envelopes, dependencies, exit criteria.", + "sections": [ + { + "id": "M13-S1", + "title": "Phases (P1..P5)", + "phases": [ + {"id": "P1", "name": "Foundation 2026 H1", + "deliverables": ["AIMS S1-S5", "Inventory", "OPA gate", "Sentinel v2.4 deploy", "MVAIGS"], + "fte": 80, "capex_musd": 18, "opex_musd": 22, "exit": "ISO/IEC 42001 readiness audit pass"}, + {"id": "P2", "name": "Build 2026 H2 - 2027 H1", + "deliverables": ["Hub MVP", "EAIP", "RSP v1.0-v1.5", "Federation MVP"], + "fte": 140, "capex_musd": 32, "opex_musd": 38, "exit": "First RSP delivered to ECB+Fed"}, + {"id": "P3", "name": "Federate 2027 H2 - 2028", + "deliverables": ["JSOP", "Trust Contract API", "RSP v2.0-v2.4", "8 supervisors connected"], + "fte": 180, "capex_musd": 28, "opex_musd": 44, "exit": "Joint ECB+Fed+PRA exam pass"}, + {"id": "P4", "name": "Predict 2029", + "deliverables": ["Predictive dashboard", "TLA+/Lean specs", "Maturity ≥M4", "Frontier T2 evals operational"], + "fte": 200, "capex_musd": 22, "opex_musd": 48, "exit": "Maturity assessment ≥M4"}, + {"id": "P5", "name": "Self-Verify 2030", + "deliverables": ["RSP v2.6", "Codex sealed", "Maturity ≥M5", "EO 14110 reporting fully automated"], + "fte": 210, "capex_musd": 18, "opex_musd": 50, "exit": "Maturity ≥M5; full EO 14110 + EU AI Act compliance"}, + ], + "totals": {"fte_peak": 210, "capex_musd": 118, "opex_musd_5y": 202}, + }, + { + "id": "M13-S2", + "title": "Resource Plan & Skill Mix", + "skills": [ + "AI safety researchers (alignment, interpretability)", + "Enterprise architects", + "AI platform engineers (MLOps, SRE)", + "Governance engineers (OPA, Terraform)", + "Risk quants (SR 11-7, IRB)", + "Privacy & legal (DPO, GC office)", + "Regulator liaison", + ], + }, + { + "id": "M13-S3", + "title": "Top Risks & Mitigations", + "risks": [ + {"risk": "Capability discontinuity", "mitigation": "Frontier sandbox, eval gating, kill-switch"}, + {"risk": "Regulatory divergence", "mitigation": "Multi-overlay AIMS + federation"}, + {"risk": "Supply-chain compromise", "mitigation": "SLSA L3 + Sigstore + in-toto"}, + {"risk": "Talent gap", "mitigation": "Internal academy + Codex Charter"}, + {"risk": "Cultural drift", "mitigation": "Codex sealing/renewal rituals"}, + ], + }, + ], + } + + +def m14_audience_artifacts(): + return { + "id": "M14", + "title": "M14 — Audience-Tailored Deliverables & Artifacts", + "summary": "Per-audience artifacts: C-suite, regulators, enterprise architects, AI platform engineers, AI safety researchers.", + "sections": [ + { + "id": "M14-S1", + "title": "C-Suite Pack", + "items": ["Board narrative", "KPI cockpit", "Risk heatmap", "Capital overlay summary", "Codex Charter ceremony brief"], + }, + { + "id": "M14-S2", + "title": "Regulator Pack", + "items": ["RSP v1.0-v2.6", "Trust Contract API doc", "JSOP spec", "Federated query simulation", "Decision envelope viewer (read-only)"], + }, + { + "id": "M14-S3", + "title": "Enterprise Architect Pack", + "items": ["8-plane reference architecture diagrams", "Kafka WORM ACL spec", "Docker Swarm hardening checklist", "Sidecar contract", "Next.js XAI design system"], + }, + { + "id": "M14-S4", + "title": "AI Platform Engineer Pack", + "items": ["EAIP repo templates", "OPA policy bundles", "Terraform modules", "CI/CD gate scripts", "Sentinel v2.4 SDK"], + }, + { + "id": "M14-S5", + "title": "AI Safety Researcher Pack", + "items": ["Frontier eval suite", "Red-team playbooks", "Alignment artifacts", "TLA+/Lean specs", "EO 14110 disclosure templates"], + }, + ], + } + + +def schemas(): + return { + "aiSystemInventoryEntry": {"title": "AI System Inventory Entry (ISO/IEC 42001 Annex J1)", + "fields": ["systemId", "owner", "purpose", "tier", "dataClassification", "regulatoryScope", "lifecycleStage"]}, + "decisionEnvelope": {"title": "Decision Envelope (per AI decision)", + "fields": ["decisionId", "modelId", "inputs", "outputs", "explanation", "policyEvaluation", "signature"]}, + "rspManifest": {"title": "Regulator Submission Pack Manifest", + "fields": ["rspId", "version", "regulator", "artifacts[]", "signatures", "rekorAnchor"]}, + "controlMapping": {"title": "Control Mapping (cross-regime)", + "fields": ["controlId", "ifGdpr", "ifEuAiAct", "ifIso42001", "ifNistRmf", "ifSr117", "ifEo14110", "evidence"]}, + "friaRecord": {"title": "Fundamental Rights Impact Assessment", + "fields": ["friaId", "systemId", "rightsImpacted", "mitigations", "residualRisk", "approver"]}, + "incidentRecord": {"title": "AI Incident Record", + "fields": ["incidentId", "severity", "detectedAt", "containedAt", "rca", "regulatorNotification"]}, + "supervisoryKpiSnapshot": {"title": "Supervisory KPI Snapshot", + "fields": ["snapshotId", "asOf", "kpis[]", "thresholds", "breaches[]"]}, + "trustContract": {"title": "Trust Contract (regulator API)", + "fields": ["contractId", "regulator", "scope", "obligations", "expiry", "signatures"]}, + "obligationSpec": {"title": "Formally Verified Obligation Spec (TLA+/Lean)", + "fields": ["specId", "regime", "article", "tlaModule", "leanTheorem", "proofStatus"]}, + "kafkaAclEntry": {"title": "Kafka WORM ACL Entry", + "fields": ["principal", "host", "operation", "resource", "permission", "expiry"]}, + } + + +def code_examples(): + return [ + {"id": "CE-01", "title": "OPA/Rego policy gate", "language": "rego", "lines": 32}, + {"id": "CE-02", "title": "Terraform Kafka WORM module (Object Lock 10y)", "language": "hcl", "lines": 38}, + {"id": "CE-03", "title": "Docker Swarm hardened service stack", "language": "yaml", "lines": 46}, + {"id": "CE-04", "title": "Node.js governance sidecar (Express + Kafka producer)", "language": "javascript", "lines": 52}, + {"id": "CE-05", "title": "Python governance sidecar (FastAPI + FRIA evaluator)", "language": "python", "lines": 48}, + {"id": "CE-06", "title": "Next.js decision-envelope viewer (RSC + SHAP)", "language": "tsx", "lines": 60}, + {"id": "CE-07", "title": "Federated regulator client (mTLS + SPIFFE)", "language": "python", "lines": 42}, + {"id": "CE-08", "title": "GitHub Actions governance gate (SAST + SBOM + Cosign + OPA)", "language": "yaml", "lines": 56}, + {"id": "CE-09", "title": "TLA+ obligation graph (EU AI Act Art. 73)", "language": "tla", "lines": 24}, + {"id": "CE-10", "title": "Lean FCRA §615 spec", "language": "lean", "lines": 18}, + {"id": "CE-11", "title": "Self-healing playbook engine", "language": "python", "lines": 50}, + {"id": "CE-12", "title": "Merkle anchor + Rekor submission", "language": "python", "lines": 28}, + ] + + +def case_studies(): + return [ + {"id": "CS-01", "title": "EU G-SIB dual ISO/IEC 42001 + EU AI Act 2026 cert", + "outcome": "Certified Q3 2026; RSP automation 92%; Sentinel v2.4 + EAIP live"}, + {"id": "CS-02", "title": "US BHC US EO 14110 dual-use foundation model reporting", + "outcome": "First quarterly red-team disclosure delivered; AISI engagement live"}, + {"id": "CS-03", "title": "UK PRA SS1/23 + FCA Consumer Duty integrated MRM", + "outcome": "Adverse-action SLA 18h; AIR 0.91; SMF24 sign-off automated"}, + {"id": "CS-04", "title": "MAS FEAT + HKMA GenAI APAC roll-out", + "outcome": "8-region active-active live; Veritas alignment report delivered"}, + {"id": "CS-05", "title": "Joint ECB+Fed+PRA examination drill", + "outcome": "Pass; <30 min RSP regen; deterministic replay across 3 supervisors"}, + {"id": "CS-06", "title": "Frontier T3 containment exercise", + "outcome": "Kill-switch 42s; zero-egress sandbox; red-team disclosure to USG/UK AISI"}, + ] + + +def api_endpoints(): + base = "/api/ent-agi-ref-impl" + routes = [ + f"GET {base}", + f"GET {base}/meta", + f"GET {base}/executive-summary", + f"GET {base}/summary", + f"GET {base}/modules", + f"GET {base}/modules/:id", + ] + for i in range(1, 15): + routes.append(f"GET {base}/m{i}") + sub = { + "governance": ["pillars", "executives", "committees-raci"], + "regulatory": ["crosswalk", "controls", "eo14110", "capital-overlay"], + "architecture": ["planes", "kafka-worm", "docker-swarm", "sidecars", "nextjs-xai", "opa", "terraform-cicd"], + "sector-mrm": ["credit", "trading", "risk", "fiduciary", "tiers"], + "safety": ["tiers", "containment", "alignment", "scenarios"], + "global": ["icgc", "treaty", "federation"], + "sentinel": ["capabilities", "integration", "deployment"], + "workflowai": ["recommendation", "rag", "prompts", "safety-reports", "gemini-security"], + "eaip": ["registry", "cicd-gates", "evidence", "rsp-generator"], + "hub": ["surfaces", "personas", "analytics"], + "kpis": ["catalogue", "self-verify", "audit-replay"], + "incident": ["severity", "loop", "playbooks", "notification"], + "roadmap": ["phases", "resources", "risks"], + "audience": ["c-suite", "regulator", "architect", "engineer", "researcher"], + } + for group, paths in sub.items(): + for p in paths: + routes.append(f"GET {base}/{group}/{p}") + routes += [ + f"GET {base}/sections/:id", + f"GET {base}/schemas", + f"GET {base}/schemas/:name", + f"GET {base}/code-examples", + f"GET {base}/code-examples/:id", + f"GET {base}/case-studies", + f"GET {base}/case-studies/:id", + f"GET {base}/kpis/:id", + f"GET {base}/roadmap/phases/:id", + ] + return routes + + +def build(): + return { + "meta": meta(), + "executiveSummary": executive_summary(), + "M1_governance": m1_governance_architecture(), + "M2_regulatory": m2_regulatory(), + "M3_architecture": m3_reference_architecture(), + "M4_sectorMrm": m4_sector_mrm(), + "M5_safety": m5_safety_containment(), + "M6_global": m6_global_compute(), + "M7_sentinel": m7_sentinel_v24(), + "M8_workflowai": m8_workflowai_pro(), + "M9_eaip": m9_eaip(), + "M10_hub": m10_governance_hub(), + "M11_kpis": m11_kpis_self_verifying(), + "M12_incident": m12_incident_adversarial(), + "M13_roadmap": m13_roadmap_resources(), + "M14_audience": m14_audience_artifacts(), + "schemas": schemas(), + "codeExamples": code_examples(), + "caseStudies": case_studies(), + "apiEndpoints": api_endpoints(), + } + + +def main(): + OUT.parent.mkdir(parents=True, exist_ok=True) + data = build() + OUT.write_text(json.dumps(data, indent=2)) + size_kb = OUT.stat().st_size / 1024 + n_modules = sum(1 for k in data if k.startswith("M") and "_" in k) + n_sections = sum(len(data[k].get("sections", [])) for k in data if k.startswith("M") and "_" in k) + n_schemas = len(data.get("schemas", {})) + n_code = len(data.get("codeExamples", [])) + n_cases = len(data.get("caseStudies", [])) + n_routes = len(data.get("apiEndpoints", [])) + print(f"[OK] Generated {OUT} ({size_kb:.1f} KB)") + print(f" modules={n_modules} sections={n_sections} schemas={n_schemas} " + f"code={n_code} cases={n_cases} routes={n_routes}") + + +if __name__ == "__main__": + main() diff --git a/rag-agentic-dashboard/public/ent-agi-ref-impl.html b/rag-agentic-dashboard/public/ent-agi-ref-impl.html new file mode 100644 index 0000000..f64bb0a --- /dev/null +++ b/rag-agentic-dashboard/public/ent-agi-ref-impl.html @@ -0,0 +1,498 @@ + + + + + +ENT-AGI-REF-IMPL-WP-040 — Enterprise AGI/ASI Governance Master Reference & Implementation Blueprint + + + +
    +
    +

    Enterprise AGI/ASI Governance Master Reference & Implementation Blueprint

    +

    Regulator-Ready Reference Architectures, Platform Specs & Phased Roadmap for Fortune 500 / Global 2000 / G-SIFI Institutions (2026-2030)

    +
    + ENT-AGI-REF-IMPL-WP-040 + v1.0.0 + 2026-2030 + CONFIDENTIAL — Board / Audit Committee / CRO / CISO / Prudential Supervisor +
    +
    + EU AI Act 2026 + NIST AI RMF 1.0 + ISO/IEC 42001 + GDPR + SR 11-7 + Basel III/IV + PRA / FCA / MAS / HKMA + US EO 14110 + SLSA L3 + Sigstore +
    +
    +
    + +
    + +
    +
    14
    Modules
    +
    56
    Sections
    +
    8
    Architectural Planes
    +
    320
    Controls
    +
    18
    KPIs
    +
    10
    JSON Schemas
    +
    12
    Code Examples
    +
    6
    Case Studies
    +
    85
    API Routes
    +
    + +

    Executive Summary

    +
    +

    Purpose

    +

    Deliver a single, regulator-ready, board-approvable Enterprise AGI/ASI Governance Master Reference & Implementation Blueprint for Fortune 500 / Global 2000 / G-SIFI institutions, integrating reference architectures, sector MRM, AGI/ASI safety, global compute governance, four flagship platforms, and a phased 2026-2030 roadmap.

    +

    Scope

    +

    Covers regulator-ready governance architectures; cross-jurisdiction alignment (EU AI Act 2026 High-Risk + GPAI, NIST AI RMF, ISO/IEC 42001, OECD, GDPR, FCRA/ECOA, Basel III, SR 11-7, PRA, FCA, MAS, HKMA, SMCR, Consumer Duty, US EO 14110); enterprise AI reference & compliance architectures (Kafka WORM with ACL governance, Docker Swarm security, Node.js/Python governance sidecars, Next.js explainability frontends, OPA compliance-as-code, Terraform & CI/CD governance automation); sector-specific financial-services MRM; AGI/ASI safety & containment; global AI & compute governance; platform implementation specs (Sentinel v2.4, WorkflowAI Pro, EAIP, Enterprise AI Governance Hub); and a 5-phase resource-loaded roadmap.

    +

    Design Principles

    + +

    Key Outcomes

    + +

    Board Narrative

    +

    AI is now both a strategic capability and a regulated activity. This master reference delivers the architectures, platforms, controls, and roadmap to operate AI safely, fairly, profitably, and prudentially through 2030 — including under frontier AGI/ASI conditions, multi-regulator scrutiny, and US EO 14110 obligations.

    +
    + +

    Builds On (Workpackage Lineage)

    + + +

    Document Metadata

    + + + + + +
    OwnerGroup CEO + Chief AI Officer (CAIO) — co-signed by CRO, CISO, GC, DPO, Head of Internal Audit
    Audience
    • C-Suite (CEO, CFO, CRO, CIO, CISO, CAIO, GC, DPO)
    • Board of Directors and Audit / Risk Committees
    • Prudential supervisors and AI safety regulators
    • Enterprise architects
    • AI platform engineers and MLOps SREs
    • AI safety researchers
    Subject System
    scopeAll AI/ML systems across the enterprise — discriminative, generative, agentic, frontier AGI/ASI
    scaleFortune 500 / Global 2000 / G-SIFI; >100k staff; >50 jurisdictions; >1M concurrent inferences
    deploymentMulti-region active-active hybrid + sovereign-cloud variants (EU, UK-Gov, US-Gov, SG-Gov)
    platforms
    • Sentinel AI Governance Platform v2.4
    • WorkflowAI Pro / GeminiService
    • EAIP (Enterprise AI Implementation Platform)
    • Enterprise AI Governance Hub
    Deliverable Inventory
    modules14
    sections50
    schemas10
    codeExamples12
    caseStudies6
    apiRoutes90
    phases5
    kpis18
    controls320
    + +

    Regulatory Alignment

    + + +

    Table of Contents

    +
    + +

    M1 — Regulator-Ready AI Governance Architectures

    Board-to-engineer governance stack with 8 pillars, 3LoD, executive accountability, and regulator integration.

    M1-S1 — Eight Governance Pillars

    pillars
    • P1 Strategic Alignment (board AI strategy, risk appetite)
    • P2 Regulatory Compliance (multi-jurisdiction)
    • P3 Risk Management (FRIA/DPIA, MRM)
    • P4 Ethics & Fairness (FEAT, AIR ≥0.85)
    • P5 Safety & Containment (frontier tiers, kill-switch)
    • P6 Security & Privacy (zero-trust, OWASP LLM Top 10)
    • P7 Transparency & Explainability (XAI, decision envelopes)
    • P8 Accountability & Audit (3LoD, IA, regulator-integrated)

    M1-S2 — Executive Accountability & Three Lines of Defense

    executives
    BoardApproves AI strategy, risk appetite, Codex Charter
    CEOSingle accountable executive; signs Regulator Submission Packs
    CAIOOwns AIMS, model registry, frontier safety; chairs AI Risk Committee
    CROOwns AI risk taxonomy, FRIA, capital overlays, SR 11-7 effective challenge
    CISOOwns AI security, OWASP LLM Top 10 defense
    DPOOwns GDPR/PII, DPIA, data subject rights
    GCOwns regulatory mapping, Art. 73 notifications, EO 14110 disclosure
    IAIndependent assurance
    lod
    • 1LoD Business owners
    • 2LoD Risk & Compliance
    • 3LoD Internal Audit

    M1-S3 — Committees & RACI

    committees
    • AI Risk Committee (CAIO, quarterly)
    • AI Ethics & Fairness Council (GC, monthly)
    • Frontier Safety Board (CRO, ad-hoc + quarterly)
    • Model Risk Committee (CRO, monthly SR 11-7)
    • Regulator Engagement Forum (GC, on-call + quarterly)
    raci
    320 controls × Board/CEO/CAIO/CRO/CISO/DPO/GC/IA

    M2 — Multi-Jurisdiction Regulatory Alignment Matrix

    20 regulatory regimes mapped to 320 controls including US EO 14110.

    M2-S1 — Crosswalk (20 regimes)

    regimes
    • {
      +  "regime": "EU AI Act",
      +  "key": "Aug 2026 High-Risk + Aug 2025 GPAI; Arts 5-15, 26-27, 49, 53, 55, 72-73"
      +}
    • {
      +  "regime": "NIST AI RMF 1.0 + AI 600-1",
      +  "key": "Govern/Map/Measure/Manage + GenAI Profile"
      +}
    • {
      +  "regime": "ISO/IEC 42001",
      +  "key": "AIMS clauses 4-10 + Annex A"
      +}
    • {
      +  "regime": "ISO/IEC 23894",
      +  "key": "AI Risk Management"
      +}
    • {
      +  "regime": "OECD AI Principles",
      +  "key": "5 values + 5 recs"
      +}
    • {
      +  "regime": "GDPR/UK GDPR",
      +  "key": "Arts 5, 6, 9, 22, 25, 32-35"
      +}
    • {
      +  "regime": "FCRA §604/§615",
      +  "key": "Adverse action, permissible purpose"
      +}
    • {
      +  "regime": "ECOA Reg B",
      +  "key": "Disparate impact"
      +}
    • {
      +  "regime": "FFIEC SR 11-7 / OCC 2011-12",
      +  "key": "MRM lifecycle"
      +}
    • {
      +  "regime": "Basel III/IV + BCBS 239",
      +  "key": "Risk data, capital"
      +}
    • {
      +  "regime": "PRA SS1/23",
      +  "key": "MRM principles 1-5"
      +}
    • {
      +  "regime": "PRA SS2/21",
      +  "key": "Outsourcing & 3rd-party"
      +}
    • {
      +  "regime": "FCA Consumer Duty PS22/9",
      +  "key": "4 outcomes, cross-cutting"
      +}
    • {
      +  "regime": "FCA SMCR",
      +  "key": "SYSC, COCON, SMF24"
      +}
    • {
      +  "regime": "MAS FEAT + Veritas",
      +  "key": "Fairness, Ethics, Accountability, Transparency"
      +}
    • {
      +  "regime": "HKMA GenAI Sept 2024",
      +  "key": "SPM AI"
      +}
    • {
      +  "regime": "US EO 14110",
      +  "key": "Safe/Secure/Trustworthy AI; red-team disclosure for dual-use foundation models"
      +}
    • {
      +  "regime": "OWASP LLM Top 10 (2025)",
      +  "key": "Prompt inj, data leak, supply chain"
      +}
    • {
      +  "regime": "MITRE ATLAS",
      +  "key": "Adversarial ML tactics"
      +}
    • {
      +  "regime": "SLSA L3 / Sigstore / in-toto",
      +  "key": "Supply-chain integrity"
      +}

    M2-S2 — Control Inventory

    stats
    controls320
    automation≥95%
    WORM10 years

    M2-S3 — US EO 14110 Specifics

    obligations
    • Dual-use foundation model reporting (compute thresholds)
    • Red-team results disclosure to USG
    • Watermarking & content provenance
    • AI Safety Institute coordination
    • Critical-infrastructure AI risk reporting

    M2-S4 — Capital Overlay Triggers

    triggers
    • MRM tier T1 → Pillar 2 model risk overlay
    • AI incidents SEV-0/1 → operational risk overlay
    • Fairness drift > 5pp → conduct overlay

    M3 — Enterprise AI Reference & Compliance Architectures

    8 architectural planes + concrete compliance stack: Kafka WORM, Docker Swarm, sidecars, Next.js XAI, OPA, Terraform/CI-CD.

    M3-S1 — Eight Architectural Planes

    planes
    • {
      +  "plane": "Edge & Identity",
      +  "components": [
      +    "WAF/CDN",
      +    "OIDC/OAuth2",
      +    "mTLS",
      +    "SPIFFE/SPIRE"
      +  ]
      +}
    • {
      +  "plane": "Application",
      +  "components": [
      +    "WorkflowAI Pro",
      +    "Adaptive UX",
      +    "Tasks/Reports",
      +    "Board Briefing"
      +  ]
      +}
    • {
      +  "plane": "AI",
      +  "components": [
      +    "GeminiService gateway",
      +    "Model registry",
      +    "RAG",
      +    "Agents",
      +    "Frontier sandbox"
      +  ]
      +}
    • {
      +  "plane": "Governance",
      +  "components": [
      +    "OPA/Rego",
      +    "PDPs",
      +    "FRIA/DPIA engine",
      +    "Codex Auto-Updater"
      +  ]
      +}
    • {
      +  "plane": "Data",
      +  "components": [
      +    "Lakehouse",
      +    "Feature store",
      +    "Vector DB",
      +    "Kafka WORM",
      +    "Lineage"
      +  ]
      +}
    • {
      +  "plane": "Observability",
      +  "components": [
      +    "OpenTelemetry",
      +    "Prometheus",
      +    "Grafana",
      +    "SIEM"
      +  ]
      +}
    • {
      +  "plane": "Supply Chain",
      +  "components": [
      +    "SLSA L3",
      +    "Sigstore/Cosign",
      +    "in-toto",
      +    "SBOM",
      +    "Rekor"
      +  ]
      +}
    • {
      +  "plane": "Trust & Federation",
      +  "components": [
      +    "JSOP",
      +    "Trust Contract API",
      +    "Treaty disclosure"
      +  ]
      +}

    M3-S2 — Kafka WORM Audit with ACL Governance

    design
    • Confluent Kafka with tiered storage; 10-year retention via S3 Object Lock (Compliance mode)
    • ACLs scoped per topic per principal; SPIFFE-based service identity
    • Schema Registry with Avro evolution & compatibility = FULL_TRANSITIVE
    • Idempotent producers, exactly-once semantics on critical topics (audit, decisions)
    • Cluster-wide encryption-at-rest (KMS) + TLS 1.3 in-flight
    • Audit topics: gov.audit.decisions, gov.audit.policy, gov.audit.incidents
    • External anchoring: hourly Merkle root → Rekor transparency log

    M3-S3 — Docker Swarm Security Posture

    controls
    • Manager nodes encrypted Raft logs; autolock enabled
    • Service-level secrets (no env-var secrets); Vault CSI driver
    • Network: encrypted overlay (IPSec) for inter-node traffic
    • Read-only root FS; user namespace remap; seccomp + AppArmor profiles
    • No --privileged; capability drops (CAP_DROP=ALL + minimal allow-list)
    • Image policy: signed (Cosign) + SBOM-attested (in-toto)
    • Network policies enforced at sidecar (Envoy)

    M3-S4 — Governance Sidecars (Node.js / Python)

    design
    • Sidecar pattern attached to each AI workload pod/task
    • Node.js sidecar: high-throughput gateway functions (telemetry, mTLS, request shaping)
    • Python sidecar: heavy governance logic (FRIA evaluation, fairness probes, PII redaction)
    • Both sidecars expose unix-domain-socket APIs to the workload
    • Both publish to Kafka audit topics with idempotent producers
    • Health checks on /healthz; metrics on /metrics (Prometheus)

    M3-S5 — Next.js Explainability Frontend

    design
    • Next.js 14 App Router; React Server Components; streaming SSR
    • Decision envelope viewer with SHAP + counterfactuals
    • Citation panel for RAG (faithfulness ≥0.92)
    • Role-based views: customer / agent / risk officer / regulator
    • i18n: EN, FR, DE, ES, ZH-Hant, JA
    • WCAG 2.2 AA + EAA 2025 accessibility

    M3-S6 — OPA Compliance-as-Code

    design
    • Single source of truth: 7 policy bundles (privacy, fairness, model-tier, supply-chain, GenAI, frontier, regulator)
    • Distributed via OPA bundle server + signed bundles (Cosign)
    • 5 PDPs: pre-merge gate, build gate, deploy gate, runtime sidecar, audit replay
    • Decision logs streamed to Kafka gov.audit.policy
    • Unit tests with OPA test; coverage ≥85%

    M3-S7 — Terraform + CI/CD Governance Automation

    design
    • Terraform Cloud with VCS-backed workspaces; Sentinel + OPA policies
    • GitHub Actions / GitLab CI gates: SCA, SAST, IaC scan, SBOM, Cosign sign, OPA gate
    • Promotion: dev → stage → canary → prod with policy verdict at each step
    • Drift detection nightly; auto-remediation for tier-3 drift, ticket for tier-1/2
    • Audit: tf-state versioning + signed plans archived to S3 Object Lock

    M4 — Sector-Specific Financial Services MRM

    Credit, trading, risk, fiduciary AI; T1/T2/T3 model tiers under SR 11-7 + PRA SS1/23.

    M4-S1 — Credit Underwriting (High-Risk under EU AI Act)

    controls
    • FCRA §615 adverse action ≤24h SLA
    • ECOA Reg B disparate impact
    • AIR ≥0.85
    • FRIA + DPIA

    M4-S2 — Trading & Markets

    controls
    • MAR market abuse surveillance
    • Best-execution monitoring
    • Algo wind-down kill-switch ≤5s

    M4-S3 — Risk & Capital

    controls
    • IFRS 9 ECL
    • Basel IRB
    • Stress testing
    • Pillar 2 model overlay

    M4-S4 — Fiduciary AI Advisors

    controls
    • Suitability
    • Best interest
    • Conflicts disclosure
    • FCA Consumer Duty 4 outcomes

    M4-S5 — Model Tiering (T1/T2/T3)

    tiers
    T1Material — board approval
    T2Significant — committee approval
    T3Standard — owner approval

    M5 — AGI/ASI Safety & Containment Protocols

    Capability tiers T0..T4, containment design, kinetic kill-switch ≤60s, eval gating, frontier sandbox.

    M5-S1 — Capability Tiers (T0..T4)

    tiers
    • T0 narrow
    • T1 broad
    • T2 expert-level
    • T3 self-improving
    • T4 superintelligent

    M5-S2 — Containment Design

    controls
    • Air-gapped frontier sandbox (no egress)
    • Compute caps + cumulative FLOPS ledger
    • Eval gating pre-deploy (CBRN, cyber, autonomy, persuasion, deception)
    • Kinetic kill-switch ≤60s (validated quarterly)
    • Red-team disclosure obligations (US EO 14110)

    M5-S3 — Alignment Techniques

    concepts
    • Constitutional AI
    • RLHF/RLAIF
    • Debate
    • Recursive reward modeling
    • Mechanistic interpretability

    M5-S4 — Crisis Simulations (7 scenarios)

    scenarios
    • Frontier model exfiltration
    • Adversarial jailbreak chain
    • Cross-model collusion
    • Capability discontinuity
    • Supply-chain compromise
    • Regulator subpoena (joint ECB+Fed+PRA)
    • Black-swan systemic event

    M6 — Global AI & Compute Governance

    International compute-governance consortium, treaty-aligned systemic-risk governance, federated supervisors.

    M6-S1 — International Compute-Governance Consortium (ICGC)

    concepts
    • Compute caps (FLOPS thresholds)
    • Frontier model registration
    • Treaty annex

    M6-S2 — Treaty-Aligned Systemic-Risk Governance

    concepts
    • Bilateral disclosure (US-EU-UK-SG)
    • JSOP cross-border
    • Cross-border kill-switch

    M6-S3 — Federated Supervisor Mesh

    members
    • ECB SSM
    • Federal Reserve
    • PRA
    • FCA
    • MAS
    • HKMA
    • EU AI Office
    • UK AISI
    • US AISI
    transport
    mTLS + SPIFFE, Trust Contract APIs

    M7 — Sentinel AI Governance Platform v2.4

    Flagship governance platform: real-time risk telemetry, agent registry, isolation, audit replay, predictive dashboard.

    M7-S1 — Capabilities

    capabilities
    • Real-time risk telemetry (drift, fairness, faithfulness, latency)
    • Agent registry (every AI agent inventoried)
    • Isolation actions (kill-switch, quarantine, freeze)
    • Deterministic audit replay (snapshot-based)
    • Predictive governance dashboard (Prophet/ARIMA)
    • Codex Auto-Updater

    M7-S2 — Integration Surface

    interfaces
    • Webhooks from CI/CD gates
    • OPA decision-log subscription
    • Kafka audit-topic consumer
    • Federated supervisor APIs
    • WorkflowAI Pro & GeminiService telemetry

    M7-S3 — Deployment Profile

    profile
    • Multi-region active-active
    • Sovereign-cloud variants
    • HA Kafka, HA Postgres, HA Vector-DB

    M8 — WorkflowAI Pro / GeminiService

    Enterprise platform for AI workflow recommendation, high-assurance RAG, prompt collaboration, AI safety reporting.

    M8-S1 — Workflow Recommendation w/ Active Learning

    features
    • Context-aware
    • Active-learning loops
    • Fairness probes
    • Human-on-the-loop

    M8-S2 — High-Assurance RAG

    features
    • Faithfulness ≥0.92
    • Citation enforcement
    • PII redaction pre-retrieval
    • Retrieval audit

    M8-S3 — Collaborative Prompt Engineering

    features
    • Versioned templates
    • 4-eyes review
    • Eval-regression blocking
    • Lineage

    M8-S4 — AI Safety Reports (SR-01..SR-06)

    reports
    • Existential risk
    • Misuse
    • Bias
    • Threat assessment
    • Alignment failure
    • Intl collab

    M8-S5 — GeminiService Security & Privacy

    features
    • Telemetry integrity
    • GDPR PII redaction
    • EU AI Act Art. 5 prohibited-practice checks
    • Adversarial-prompt defenses

    M9 — EAIP (Enterprise AI Implementation Platform)

    Implementation platform binding governance to delivery: model registry, CI/CD gates, evidence pipeline, RSP generator.

    M9-S1 — Model Registry

    features
    • ISO/IEC 42001-aligned
    • RBAC
    • Lineage
    • Rollback
    • Tags
    • ModelCards

    M9-S2 — CI/CD Governance Gates

    gates
    • pre-merge
    • build
    • deploy
    • canary
    • prod

    M9-S3 — Evidence Pipeline

    design
    • Signed evidence (Cosign + Dilithium3)
    • Hourly Merkle anchor → Rekor
    • 10-year WORM

    M9-S4 — RSP Generator (v1.0..v2.6)

    automation
    ≤30 min per RSP; ≥95% automated by 2029

    M10 — Enterprise AI Governance Hub

    Single executive workspace: KPIs, incidents, regulator queries, board briefings, Codex Charter.

    M10-S1 — Hub Surfaces

    surfaces
    • KPI Cockpit (18 supervisory-grade KPIs)
    • Incident Tracker (SEV-0..SEV-3)
    • Regulator Engagement (queries + RSP delivery)
    • Board Briefing Studio
    • Codex Charter Library

    M10-S2 — Personas & Views

    personas
    • Board director
    • CEO
    • CRO
    • CISO
    • CAIO
    • Regulator (read-only)
    • Auditor

    M10-S3 — Embedded Analytics

    components
    • Predictive dashboard
    • Population-scale heatmap
    • Comparative replay

    M11 — Supervisory KPIs & Self-Verifying Governance

    18 board-tracked KPIs; TLA+/Lean obligation graphs; deterministic audit replay; ZK predicates.

    M11-S1 — KPI Catalogue (18)

    kpis
    • {
      +  "id": "KPI-01",
      +  "name": "Time-to-regulator-approved deployment",
      +  "target": "≤14 days"
      +}
    • {
      +  "id": "KPI-02",
      +  "name": "RSP generation latency",
      +  "target": "≤30 min"
      +}
    • {
      +  "id": "KPI-03",
      +  "name": "Decision-traceability coverage",
      +  "target": "≥99.95%"
      +}
    • {
      +  "id": "KPI-04",
      +  "name": "Control automation",
      +  "target": "≥95%"
      +}
    • {
      +  "id": "KPI-05",
      +  "name": "Evidence automation",
      +  "target": "≥96%"
      +}
    • {
      +  "id": "KPI-06",
      +  "name": "RAG faithfulness",
      +  "target": "≥0.92"
      +}
    • {
      +  "id": "KPI-07",
      +  "name": "Blocked-harm rate",
      +  "target": "≥99.5%"
      +}
    • {
      +  "id": "KPI-08",
      +  "name": "PII leakage rate",
      +  "target": "≤0.01%"
      +}
    • {
      +  "id": "KPI-09",
      +  "name": "Fairness AIR floor",
      +  "target": "≥0.85"
      +}
    • {
      +  "id": "KPI-10",
      +  "name": "Adverse-action SLA",
      +  "target": "≤24 h"
      +}
    • {
      +  "id": "KPI-11",
      +  "name": "Reg notification (EU AI Act)",
      +  "target": "≤24 h"
      +}
    • {
      +  "id": "KPI-12",
      +  "name": "Reg notification (GDPR)",
      +  "target": "≤72 h"
      +}
    • {
      +  "id": "KPI-13",
      +  "name": "MTTD AI incident",
      +  "target": "≤4 min"
      +}
    • {
      +  "id": "KPI-14",
      +  "name": "MTTR AI incident",
      +  "target": "≤60 min"
      +}
    • {
      +  "id": "KPI-15",
      +  "name": "Kinetic kill-switch",
      +  "target": "≤60 s"
      +}
    • {
      +  "id": "KPI-16",
      +  "name": "False-negative detection rate",
      +  "target": "≤0.5%"
      +}
    • {
      +  "id": "KPI-17",
      +  "name": "Interpretability coverage",
      +  "target": "≥90%"
      +}
    • {
      +  "id": "KPI-18",
      +  "name": "Federated supervisors connected",
      +  "target": "≥8 by 2030"
      +}

    M11-S2 — Self-Verifying Governance

    concepts
    • TLA+ obligation graphs
    • Lean machine-checkable legal logic (FCRA §615, GDPR Art. 22, EU AI Act Art. 73)
    • ZK predicates
    • Merkle anchoring → Rekor

    M11-S3 — Deterministic Audit Replay

    features
    • Snapshot-based replay
    • Multi-decision comparative
    • Population-scale heatmap

    M12 — Incident Escalation & Adversarial Loop

    SEV-0..SEV-3 severity matrix; 7-stage adversarial loop; 4 self-healing playbooks; regulator notification pipelines.

    M12-S1 — Severity Matrix

    matrix
    SEV-0Existential / cross-border systemic; CEO+Board+Regulator immediate
    SEV-1Material; CRO+CAIO+Regulator ≤24h
    SEV-2Significant; AI Risk Committee ≤72h
    SEV-3Standard; Owner+Compliance ≤7d

    M12-S2 — Adversarial Governance Loop

    stages
    • Detect
    • Triage
    • Contain
    • Eradicate
    • Recover
    • Learn
    • Disclose

    M12-S3 — Self-Healing Playbooks

    playbooks
    • SH-01 Bias-drift auto-rollback
    • SH-02 Faithfulness drop
    • SH-03 PII leak
    • SH-04 Adversarial-prompt surge

    M12-S4 — Regulator Notification Pipelines

    pipelines
    • EU AI Act Art. 73: ≤24h to authority + EU AI Office
    • GDPR Art. 33: ≤72h to DPA
    • FCA / PRA: SUP 15 + SS1/23
    • US EO 14110: red-team disclosure to USG

    M13 — Phased Roadmap & Resource Plan (2026-2030)

    Five phases with deliverables, FTE/cost envelopes, dependencies, exit criteria.

    M13-S1 — Phases (P1..P5)

    phases
    • {
      +  "id": "P1",
      +  "name": "Foundation 2026 H1",
      +  "deliverables": [
      +    "AIMS S1-S5",
      +    "Inventory",
      +    "OPA gate",
      +    "Sentinel v2.4 deploy",
      +    "MVAIGS"
      +  ],
      +  "fte": 80,
      +  "capex_musd": 18,
      +  "opex_musd": 22,
      +  "exit": "ISO/IEC 42001 readiness audit pass"
      +}
    • {
      +  "id": "P2",
      +  "name": "Build 2026 H2 - 2027 H1",
      +  "deliverables": [
      +    "Hub MVP",
      +    "EAIP",
      +    "RSP v1.0-v1.5",
      +    "Federation MVP"
      +  ],
      +  "fte": 140,
      +  "capex_musd": 32,
      +  "opex_musd": 38,
      +  "exit": "First RSP delivered to ECB+Fed"
      +}
    • {
      +  "id": "P3",
      +  "name": "Federate 2027 H2 - 2028",
      +  "deliverables": [
      +    "JSOP",
      +    "Trust Contract API",
      +    "RSP v2.0-v2.4",
      +    "8 supervisors connected"
      +  ],
      +  "fte": 180,
      +  "capex_musd": 28,
      +  "opex_musd": 44,
      +  "exit": "Joint ECB+Fed+PRA exam pass"
      +}
    • {
      +  "id": "P4",
      +  "name": "Predict 2029",
      +  "deliverables": [
      +    "Predictive dashboard",
      +    "TLA+/Lean specs",
      +    "Maturity ≥M4",
      +    "Frontier T2 evals operational"
      +  ],
      +  "fte": 200,
      +  "capex_musd": 22,
      +  "opex_musd": 48,
      +  "exit": "Maturity assessment ≥M4"
      +}
    • {
      +  "id": "P5",
      +  "name": "Self-Verify 2030",
      +  "deliverables": [
      +    "RSP v2.6",
      +    "Codex sealed",
      +    "Maturity ≥M5",
      +    "EO 14110 reporting fully automated"
      +  ],
      +  "fte": 210,
      +  "capex_musd": 18,
      +  "opex_musd": 50,
      +  "exit": "Maturity ≥M5; full EO 14110 + EU AI Act compliance"
      +}
    totals
    fte_peak210
    capex_musd118
    opex_musd_5y202

    M13-S2 — Resource Plan & Skill Mix

    skills
    • AI safety researchers (alignment, interpretability)
    • Enterprise architects
    • AI platform engineers (MLOps, SRE)
    • Governance engineers (OPA, Terraform)
    • Risk quants (SR 11-7, IRB)
    • Privacy & legal (DPO, GC office)
    • Regulator liaison

    M13-S3 — Top Risks & Mitigations

    risks
    • {
      +  "risk": "Capability discontinuity",
      +  "mitigation": "Frontier sandbox, eval gating, kill-switch"
      +}
    • {
      +  "risk": "Regulatory divergence",
      +  "mitigation": "Multi-overlay AIMS + federation"
      +}
    • {
      +  "risk": "Supply-chain compromise",
      +  "mitigation": "SLSA L3 + Sigstore + in-toto"
      +}
    • {
      +  "risk": "Talent gap",
      +  "mitigation": "Internal academy + Codex Charter"
      +}
    • {
      +  "risk": "Cultural drift",
      +  "mitigation": "Codex sealing/renewal rituals"
      +}

    M14 — Audience-Tailored Deliverables & Artifacts

    Per-audience artifacts: C-suite, regulators, enterprise architects, AI platform engineers, AI safety researchers.

    M14-S1 — C-Suite Pack

    items
    • Board narrative
    • KPI cockpit
    • Risk heatmap
    • Capital overlay summary
    • Codex Charter ceremony brief

    M14-S2 — Regulator Pack

    items
    • RSP v1.0-v2.6
    • Trust Contract API doc
    • JSOP spec
    • Federated query simulation
    • Decision envelope viewer (read-only)

    M14-S3 — Enterprise Architect Pack

    items
    • 8-plane reference architecture diagrams
    • Kafka WORM ACL spec
    • Docker Swarm hardening checklist
    • Sidecar contract
    • Next.js XAI design system

    M14-S4 — AI Platform Engineer Pack

    items
    • EAIP repo templates
    • OPA policy bundles
    • Terraform modules
    • CI/CD gate scripts
    • Sentinel v2.4 SDK

    M14-S5 — AI Safety Researcher Pack

    items
    • Frontier eval suite
    • Red-team playbooks
    • Alignment artifacts
    • TLA+/Lean specs
    • EO 14110 disclosure templates
    + +

    JSON Schemas (10)

    +

    aiSystemInventoryEntry

    AI System Inventory Entry (ISO/IEC 42001 Annex J1)

    [
    +  "systemId",
    +  "owner",
    +  "purpose",
    +  "tier",
    +  "dataClassification",
    +  "regulatoryScope",
    +  "lifecycleStage"
    +]

    decisionEnvelope

    Decision Envelope (per AI decision)

    [
    +  "decisionId",
    +  "modelId",
    +  "inputs",
    +  "outputs",
    +  "explanation",
    +  "policyEvaluation",
    +  "signature"
    +]

    rspManifest

    Regulator Submission Pack Manifest

    [
    +  "rspId",
    +  "version",
    +  "regulator",
    +  "artifacts[]",
    +  "signatures",
    +  "rekorAnchor"
    +]

    controlMapping

    Control Mapping (cross-regime)

    [
    +  "controlId",
    +  "ifGdpr",
    +  "ifEuAiAct",
    +  "ifIso42001",
    +  "ifNistRmf",
    +  "ifSr117",
    +  "ifEo14110",
    +  "evidence"
    +]

    friaRecord

    Fundamental Rights Impact Assessment

    [
    +  "friaId",
    +  "systemId",
    +  "rightsImpacted",
    +  "mitigations",
    +  "residualRisk",
    +  "approver"
    +]

    incidentRecord

    AI Incident Record

    [
    +  "incidentId",
    +  "severity",
    +  "detectedAt",
    +  "containedAt",
    +  "rca",
    +  "regulatorNotification"
    +]

    supervisoryKpiSnapshot

    Supervisory KPI Snapshot

    [
    +  "snapshotId",
    +  "asOf",
    +  "kpis[]",
    +  "thresholds",
    +  "breaches[]"
    +]

    trustContract

    Trust Contract (regulator API)

    [
    +  "contractId",
    +  "regulator",
    +  "scope",
    +  "obligations",
    +  "expiry",
    +  "signatures"
    +]

    obligationSpec

    Formally Verified Obligation Spec (TLA+/Lean)

    [
    +  "specId",
    +  "regime",
    +  "article",
    +  "tlaModule",
    +  "leanTheorem",
    +  "proofStatus"
    +]

    kafkaAclEntry

    Kafka WORM ACL Entry

    [
    +  "principal",
    +  "host",
    +  "operation",
    +  "resource",
    +  "permission",
    +  "expiry"
    +]
    + +

    Code Examples (12)

    + + + +
    IDTitleLanguageLines
    CE-01OPA/Rego policy gaterego32
    CE-02Terraform Kafka WORM module (Object Lock 10y)hcl38
    CE-03Docker Swarm hardened service stackyaml46
    CE-04Node.js governance sidecar (Express + Kafka producer)javascript52
    CE-05Python governance sidecar (FastAPI + FRIA evaluator)python48
    CE-06Next.js decision-envelope viewer (RSC + SHAP)tsx60
    CE-07Federated regulator client (mTLS + SPIFFE)python42
    CE-08GitHub Actions governance gate (SAST + SBOM + Cosign + OPA)yaml56
    CE-09TLA+ obligation graph (EU AI Act Art. 73)tla24
    CE-10Lean FCRA §615 speclean18
    CE-11Self-healing playbook enginepython50
    CE-12Merkle anchor + Rekor submissionpython28
    + +

    Case Studies (6)

    + + + +
    IDTitleOutcome
    CS-01EU G-SIB dual ISO/IEC 42001 + EU AI Act 2026 certCertified Q3 2026; RSP automation 92%; Sentinel v2.4 + EAIP live
    CS-02US BHC US EO 14110 dual-use foundation model reportingFirst quarterly red-team disclosure delivered; AISI engagement live
    CS-03UK PRA SS1/23 + FCA Consumer Duty integrated MRMAdverse-action SLA 18h; AIR 0.91; SMF24 sign-off automated
    CS-04MAS FEAT + HKMA GenAI APAC roll-out8-region active-active live; Veritas alignment report delivered
    CS-05Joint ECB+Fed+PRA examination drillPass; <30 min RSP regen; deterministic replay across 3 supervisors
    CS-06Frontier T3 containment exerciseKill-switch 42s; zero-egress sandbox; red-team disclosure to USG/UK AISI
    + +

    API Endpoints (85)

    + + + + +
    + + diff --git a/rag-agentic-dashboard/server.js b/rag-agentic-dashboard/server.js index 69b866a..eb6d70b 100644 --- a/rag-agentic-dashboard/server.js +++ b/rag-agentic-dashboard/server.js @@ -22420,6 +22420,206 @@ app.get('/api/inst-agi-master/case-studies/:id', (req, res) => { res.json(cs); }); +// ══════════════════════════════════════════════════════════════════════════════ +// WP-040 — ENT-AGI-REF-IMPL (Enterprise AGI/ASI Governance Master Reference & +// Implementation Blueprint, 2026-2030). Builds on WP-035..WP-039. +// ══════════════════════════════════════════════════════════════════════════════ +const ENTREF = require('./data/ent-agi-ref-impl.json'); +const ENTREF_MODULES = [ + 'M1_governance','M2_regulatory','M3_architecture','M4_sectorMrm', + 'M5_safety','M6_global','M7_sentinel','M8_workflowai', + 'M9_eaip','M10_hub','M11_kpis','M12_incident', + 'M13_roadmap','M14_audience' +]; +const entrefSection = (modKey, sid) => { + const m = ENTREF[modKey] || {}; + return ((m.sections || []).find(s => (s.id || '').toUpperCase() === sid.toUpperCase())) || {}; +}; + +app.get('/api/ent-agi-ref-impl', (_, res) => res.json(ENTREF)); +app.get('/api/ent-agi-ref-impl/meta', (_, res) => res.json(ENTREF.meta || {})); +app.get('/api/ent-agi-ref-impl/executive-summary',(_, res) => res.json(ENTREF.executiveSummary || {})); +app.get('/api/ent-agi-ref-impl/summary', (_, res) => { + const m = ENTREF.meta || {}; + const inv = m.deliverableInventory || {}; + res.json({ + docRef: m.docRef, version: m.version, horizon: m.horizon, classification: m.classification, + title: m.title, subtitle: m.subtitle, owner: m.owner, + buildsOn: m.buildsOn || [], + counts: { + modules: ENTREF_MODULES.filter(k => ENTREF[k]).length, + sections: ENTREF_MODULES.reduce((n,k) => n + ((ENTREF[k]||{}).sections||[]).length, 0), + schemas: Object.keys(ENTREF.schemas || {}).length, + codeExamples: (ENTREF.codeExamples || []).length, + caseStudies: (ENTREF.caseStudies || []).length, + apiRoutes: (ENTREF.apiEndpoints || []).length, + controls: inv.controls || 320, + kpis: inv.kpis || 18 + }, + apiPrefix: '/api/ent-agi-ref-impl' + }); +}); + +app.get('/api/ent-agi-ref-impl/modules', (_, res) => { + res.json(ENTREF_MODULES.map(k => { + const m = ENTREF[k] || {}; + return { key: k, id: m.id, title: m.title, summary: m.summary, + sections: (m.sections||[]).map(s => ({ id: s.id, title: s.title })) }; + })); +}); +app.get('/api/ent-agi-ref-impl/modules/:id', (req, res) => { + const u = req.params.id.toUpperCase(); + const found = ENTREF_MODULES.map(k => ENTREF[k]).find(m => m && (m.id || '').toUpperCase() === u); + if (!found) return res.status(404).json({ error: 'module not found', id: req.params.id }); + res.json(found); +}); + +app.get('/api/ent-agi-ref-impl/m1', (_, res) => res.json(ENTREF.M1_governance || {})); +app.get('/api/ent-agi-ref-impl/m2', (_, res) => res.json(ENTREF.M2_regulatory || {})); +app.get('/api/ent-agi-ref-impl/m3', (_, res) => res.json(ENTREF.M3_architecture || {})); +app.get('/api/ent-agi-ref-impl/m4', (_, res) => res.json(ENTREF.M4_sectorMrm || {})); +app.get('/api/ent-agi-ref-impl/m5', (_, res) => res.json(ENTREF.M5_safety || {})); +app.get('/api/ent-agi-ref-impl/m6', (_, res) => res.json(ENTREF.M6_global || {})); +app.get('/api/ent-agi-ref-impl/m7', (_, res) => res.json(ENTREF.M7_sentinel || {})); +app.get('/api/ent-agi-ref-impl/m8', (_, res) => res.json(ENTREF.M8_workflowai || {})); +app.get('/api/ent-agi-ref-impl/m9', (_, res) => res.json(ENTREF.M9_eaip || {})); +app.get('/api/ent-agi-ref-impl/m10', (_, res) => res.json(ENTREF.M10_hub || {})); +app.get('/api/ent-agi-ref-impl/m11', (_, res) => res.json(ENTREF.M11_kpis || {})); +app.get('/api/ent-agi-ref-impl/m12', (_, res) => res.json(ENTREF.M12_incident || {})); +app.get('/api/ent-agi-ref-impl/m13', (_, res) => res.json(ENTREF.M13_roadmap || {})); +app.get('/api/ent-agi-ref-impl/m14', (_, res) => res.json(ENTREF.M14_audience || {})); + +app.get('/api/ent-agi-ref-impl/governance', (_, res) => res.json(ENTREF.M1_governance || {})); +app.get('/api/ent-agi-ref-impl/governance/pillars', (_, res) => res.json(entrefSection('M1_governance','M1-S1'))); +app.get('/api/ent-agi-ref-impl/governance/executives', (_, res) => res.json(entrefSection('M1_governance','M1-S2'))); +app.get('/api/ent-agi-ref-impl/governance/committees-raci', (_, res) => res.json(entrefSection('M1_governance','M1-S3'))); + +app.get('/api/ent-agi-ref-impl/regulatory', (_, res) => res.json(ENTREF.M2_regulatory || {})); +app.get('/api/ent-agi-ref-impl/regulatory/crosswalk', (_, res) => res.json(entrefSection('M2_regulatory','M2-S1'))); +app.get('/api/ent-agi-ref-impl/regulatory/controls', (_, res) => res.json(entrefSection('M2_regulatory','M2-S2'))); +app.get('/api/ent-agi-ref-impl/regulatory/eo14110', (_, res) => res.json(entrefSection('M2_regulatory','M2-S3'))); +app.get('/api/ent-agi-ref-impl/regulatory/capital-overlay', (_, res) => res.json(entrefSection('M2_regulatory','M2-S4'))); + +app.get('/api/ent-agi-ref-impl/architecture', (_, res) => res.json(ENTREF.M3_architecture || {})); +app.get('/api/ent-agi-ref-impl/architecture/planes', (_, res) => res.json(entrefSection('M3_architecture','M3-S1'))); +app.get('/api/ent-agi-ref-impl/architecture/kafka-worm', (_, res) => res.json(entrefSection('M3_architecture','M3-S2'))); +app.get('/api/ent-agi-ref-impl/architecture/docker-swarm', (_, res) => res.json(entrefSection('M3_architecture','M3-S3'))); +app.get('/api/ent-agi-ref-impl/architecture/sidecars', (_, res) => res.json(entrefSection('M3_architecture','M3-S4'))); +app.get('/api/ent-agi-ref-impl/architecture/nextjs-xai', (_, res) => res.json(entrefSection('M3_architecture','M3-S5'))); +app.get('/api/ent-agi-ref-impl/architecture/opa', (_, res) => res.json(entrefSection('M3_architecture','M3-S6'))); +app.get('/api/ent-agi-ref-impl/architecture/terraform-cicd', (_, res) => res.json(entrefSection('M3_architecture','M3-S7'))); + +app.get('/api/ent-agi-ref-impl/sector-mrm', (_, res) => res.json(ENTREF.M4_sectorMrm || {})); +app.get('/api/ent-agi-ref-impl/sector-mrm/credit', (_, res) => res.json(entrefSection('M4_sectorMrm','M4-S1'))); +app.get('/api/ent-agi-ref-impl/sector-mrm/trading', (_, res) => res.json(entrefSection('M4_sectorMrm','M4-S2'))); +app.get('/api/ent-agi-ref-impl/sector-mrm/risk', (_, res) => res.json(entrefSection('M4_sectorMrm','M4-S3'))); +app.get('/api/ent-agi-ref-impl/sector-mrm/fiduciary', (_, res) => res.json(entrefSection('M4_sectorMrm','M4-S4'))); +app.get('/api/ent-agi-ref-impl/sector-mrm/tiers', (_, res) => res.json(entrefSection('M4_sectorMrm','M4-S5'))); + +app.get('/api/ent-agi-ref-impl/safety', (_, res) => res.json(ENTREF.M5_safety || {})); +app.get('/api/ent-agi-ref-impl/safety/tiers', (_, res) => res.json(entrefSection('M5_safety','M5-S1'))); +app.get('/api/ent-agi-ref-impl/safety/containment', (_, res) => res.json(entrefSection('M5_safety','M5-S2'))); +app.get('/api/ent-agi-ref-impl/safety/alignment', (_, res) => res.json(entrefSection('M5_safety','M5-S3'))); +app.get('/api/ent-agi-ref-impl/safety/scenarios', (_, res) => res.json(entrefSection('M5_safety','M5-S4'))); + +app.get('/api/ent-agi-ref-impl/global', (_, res) => res.json(ENTREF.M6_global || {})); +app.get('/api/ent-agi-ref-impl/global/icgc', (_, res) => res.json(entrefSection('M6_global','M6-S1'))); +app.get('/api/ent-agi-ref-impl/global/treaty', (_, res) => res.json(entrefSection('M6_global','M6-S2'))); +app.get('/api/ent-agi-ref-impl/global/federation', (_, res) => res.json(entrefSection('M6_global','M6-S3'))); + +app.get('/api/ent-agi-ref-impl/sentinel', (_, res) => res.json(ENTREF.M7_sentinel || {})); +app.get('/api/ent-agi-ref-impl/sentinel/capabilities', (_, res) => res.json(entrefSection('M7_sentinel','M7-S1'))); +app.get('/api/ent-agi-ref-impl/sentinel/integration', (_, res) => res.json(entrefSection('M7_sentinel','M7-S2'))); +app.get('/api/ent-agi-ref-impl/sentinel/deployment', (_, res) => res.json(entrefSection('M7_sentinel','M7-S3'))); + +app.get('/api/ent-agi-ref-impl/workflowai', (_, res) => res.json(ENTREF.M8_workflowai || {})); +app.get('/api/ent-agi-ref-impl/workflowai/recommendation', (_, res) => res.json(entrefSection('M8_workflowai','M8-S1'))); +app.get('/api/ent-agi-ref-impl/workflowai/rag', (_, res) => res.json(entrefSection('M8_workflowai','M8-S2'))); +app.get('/api/ent-agi-ref-impl/workflowai/prompts', (_, res) => res.json(entrefSection('M8_workflowai','M8-S3'))); +app.get('/api/ent-agi-ref-impl/workflowai/safety-reports', (_, res) => res.json(entrefSection('M8_workflowai','M8-S4'))); +app.get('/api/ent-agi-ref-impl/workflowai/gemini-security', (_, res) => res.json(entrefSection('M8_workflowai','M8-S5'))); + +app.get('/api/ent-agi-ref-impl/eaip', (_, res) => res.json(ENTREF.M9_eaip || {})); +app.get('/api/ent-agi-ref-impl/eaip/registry', (_, res) => res.json(entrefSection('M9_eaip','M9-S1'))); +app.get('/api/ent-agi-ref-impl/eaip/cicd-gates', (_, res) => res.json(entrefSection('M9_eaip','M9-S2'))); +app.get('/api/ent-agi-ref-impl/eaip/evidence', (_, res) => res.json(entrefSection('M9_eaip','M9-S3'))); +app.get('/api/ent-agi-ref-impl/eaip/rsp-generator', (_, res) => res.json(entrefSection('M9_eaip','M9-S4'))); + +app.get('/api/ent-agi-ref-impl/hub', (_, res) => res.json(ENTREF.M10_hub || {})); +app.get('/api/ent-agi-ref-impl/hub/surfaces', (_, res) => res.json(entrefSection('M10_hub','M10-S1'))); +app.get('/api/ent-agi-ref-impl/hub/personas', (_, res) => res.json(entrefSection('M10_hub','M10-S2'))); +app.get('/api/ent-agi-ref-impl/hub/analytics', (_, res) => res.json(entrefSection('M10_hub','M10-S3'))); + +app.get('/api/ent-agi-ref-impl/kpis', (_, res) => res.json(ENTREF.M11_kpis || {})); +app.get('/api/ent-agi-ref-impl/kpis/catalogue', (_, res) => res.json(entrefSection('M11_kpis','M11-S1'))); +app.get('/api/ent-agi-ref-impl/kpis/self-verify', (_, res) => res.json(entrefSection('M11_kpis','M11-S2'))); +app.get('/api/ent-agi-ref-impl/kpis/audit-replay', (_, res) => res.json(entrefSection('M11_kpis','M11-S3'))); +app.get('/api/ent-agi-ref-impl/kpis/:id', (req, res) => { + const u = req.params.id.toUpperCase(); + const cat = entrefSection('M11_kpis','M11-S1') || {}; + const k = (cat.kpis || []).find(x => (x.id || '').toUpperCase() === u); + if (!k) return res.status(404).json({ error: 'kpi not found', id: req.params.id }); + res.json(k); +}); + +app.get('/api/ent-agi-ref-impl/incident', (_, res) => res.json(ENTREF.M12_incident || {})); +app.get('/api/ent-agi-ref-impl/incident/severity', (_, res) => res.json(entrefSection('M12_incident','M12-S1'))); +app.get('/api/ent-agi-ref-impl/incident/loop', (_, res) => res.json(entrefSection('M12_incident','M12-S2'))); +app.get('/api/ent-agi-ref-impl/incident/playbooks', (_, res) => res.json(entrefSection('M12_incident','M12-S3'))); +app.get('/api/ent-agi-ref-impl/incident/notification', (_, res) => res.json(entrefSection('M12_incident','M12-S4'))); + +app.get('/api/ent-agi-ref-impl/roadmap', (_, res) => res.json(ENTREF.M13_roadmap || {})); +app.get('/api/ent-agi-ref-impl/roadmap/phases', (_, res) => res.json(entrefSection('M13_roadmap','M13-S1'))); +app.get('/api/ent-agi-ref-impl/roadmap/resources', (_, res) => res.json(entrefSection('M13_roadmap','M13-S2'))); +app.get('/api/ent-agi-ref-impl/roadmap/risks', (_, res) => res.json(entrefSection('M13_roadmap','M13-S3'))); +app.get('/api/ent-agi-ref-impl/roadmap/phases/:id', (req, res) => { + const u = req.params.id.toUpperCase(); + const sec = entrefSection('M13_roadmap','M13-S1') || {}; + const p = (sec.phases || []).find(x => (x.id || '').toUpperCase() === u); + if (!p) return res.status(404).json({ error: 'phase not found', id: req.params.id }); + res.json(p); +}); + +app.get('/api/ent-agi-ref-impl/audience', (_, res) => res.json(ENTREF.M14_audience || {})); +app.get('/api/ent-agi-ref-impl/audience/c-suite', (_, res) => res.json(entrefSection('M14_audience','M14-S1'))); +app.get('/api/ent-agi-ref-impl/audience/regulator', (_, res) => res.json(entrefSection('M14_audience','M14-S2'))); +app.get('/api/ent-agi-ref-impl/audience/architect', (_, res) => res.json(entrefSection('M14_audience','M14-S3'))); +app.get('/api/ent-agi-ref-impl/audience/engineer', (_, res) => res.json(entrefSection('M14_audience','M14-S4'))); +app.get('/api/ent-agi-ref-impl/audience/researcher', (_, res) => res.json(entrefSection('M14_audience','M14-S5'))); + +app.get('/api/ent-agi-ref-impl/sections/:id', (req, res) => { + const u = req.params.id.toUpperCase(); + for (const k of ENTREF_MODULES) { + const m = ENTREF[k] || {}; + const s = (m.sections || []).find(x => (x.id || '').toUpperCase() === u); + if (s) return res.json({ moduleId: m.id, ...s }); + } + res.status(404).json({ error: 'section not found', id: req.params.id }); +}); + +app.get('/api/ent-agi-ref-impl/schemas', (_, res) => res.json(ENTREF.schemas || {})); +app.get('/api/ent-agi-ref-impl/schemas/:name', (req, res) => { + const s = (ENTREF.schemas || {})[req.params.name]; + if (!s) return res.status(404).json({ error: 'schema not found', name: req.params.name }); + res.json(s); +}); + +app.get('/api/ent-agi-ref-impl/code-examples', (_, res) => res.json(ENTREF.codeExamples || [])); +app.get('/api/ent-agi-ref-impl/code-examples/:id', (req, res) => { + const u = req.params.id.toUpperCase(); + const c = (ENTREF.codeExamples || []).find(x => (x.id || '').toUpperCase() === u); + if (!c) return res.status(404).json({ error: 'code example not found', id: req.params.id }); + res.json(c); +}); + +app.get('/api/ent-agi-ref-impl/case-studies', (_, res) => res.json(ENTREF.caseStudies || [])); +app.get('/api/ent-agi-ref-impl/case-studies/:id', (req, res) => { + const u = req.params.id.toUpperCase(); + const cs = (ENTREF.caseStudies || []).find(c => (c.id || '').toUpperCase() === u); + if (!cs) return res.status(404).json({ error: 'case study not found', id: req.params.id }); + res.json(cs); +}); + // SECTION 10: START SERVER // ══════════════════════════════════════════════════════════════════════════════