feat(ENT-CIV-AGI-ARCH-WP-049) v1.0.0 — Enterprise & Civilizational AGI/ASI Governance Architecture (2026-2030)#84
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…I/ASI Governance Architecture (2026-2030)
Adds WP-049: comprehensive 2026-2030 enterprise- and civilizational-scale
AGI/ASI and AI governance architecture, implementation, and risk analysis
for Fortune 500 / G-SIFI institutions — integrating Sentinel v2.4 and
WorkflowAI Pro platforms with global regulatory alignment, multi-layer
governance, kill-switch protocols, sector MRM, frontier safety, three
reference architectures, institutional prompting, zk-SNARK + PQC audit
proofs, GACP/GACRLS/GACRA federation handshakes, six red-team wargames,
and RPCO post-incident forensics.
Deliverables
============
* data/ent-civ-agi-arch.json (80.1 KB) — 14 modules, 70 sections, 12
schemas, 16 code examples, 6 case studies, 24 KPIs, 12 risk-control
rows, 12 regulators, 7 workshops, 6 data flows, 14 traceability rows,
3-phase 30/60/90, 5-year roadmap, evidencePack template.
* public/ent-civ-agi-arch.html (82.6 KB) — dark-themed sticky-nav
dashboard with directive + modules + KPIs + RCM + cases + roadmap.
* gen-ent-civ-agi-arch.py (73,359 chars) — deterministic data generator.
* gen-ent-civ-agi-arch-html.py (11,517 chars) — HTML renderer.
* server.js — 28 endpoints under /api/ent-civ-agi-arch/* including
/m1../m14, /modules/:id, /sections/:id, /schemas[/:id],
/code-examples[/:id], /case-studies[/:id], /kpis,
/risk-control-matrix, /regulators, /workshops, /data-flows,
/traceability, /privacy, /deployment, /rollout-90, /roadmap,
/evidence-pack.
Module Lineup (14)
==================
M1 Sentinel v2.4 + WorkflowAI Pro Platform Architecture
M2 Global Regulatory Alignment (EU AI Act 2026 + NIST AI RMF 1.0 +
ISO/IEC 42001 + SR 11-7 + Basel III + PRA/FCA/MAS/HKMA + EO 14110
+ OECD + GDPR)
M3 Multi-Layer Governance Pillars & Roles (Board -> Civilizational)
M4 Incident Escalation & Kill-Switch Protocols (SEV-0..3, BMC/IPMI,
GIEN broadcast, 3-of-5 quorum, ≤60s logical / ≤5min physical)
M5 Sector-Specific FinServ Model Risk Management (credit, trading,
fraud/AML, fiduciary, insurance, capital markets)
M6 Frontier AGI/ASI Safety & Containment Constructs (Cognitive
Resonance, ICGC Compute Registries, Civilizational Constitution
+ Codex, AGI Lab, ASI honeypots)
M7 Reference Architecture — OPA-Based Governance Sidecar
M8 Reference Architecture — FastAPI/Node.js Inference Proxy + Kafka
WORM + PQC KMS + Terraform zero-trust AWS/EKS
M9 K8s Admission Control + CI/CD Policy Gates + LLM-as-a-Judge
M10 Institutional Prompting & Advanced FinServ Prompt Engineering
M11 zk-SNARK + PQC-Based Audit Proofs (Groth16/PLONK + ML-DSA)
M12 GACP / GACRLS / GACRA Interop Handshakes for Tier-3 Agents
M13 Systemic Risk Wargame Red-Team Scenarios (WG-01..WG-06):
fiduciary bypass, synthetic deceptive alignment, WORM log evasion,
prompt-injection exfil, compute-registry evasion, kill-switch spoof
M14 Post-Incident Forensic & Reconstruction Procedures (RPCO)
Regulatory Alignment
====================
* EU AI Act 2026 (Arts 5/9/10/13/14/15/16/26/50/53/55/56/72 + Annex IV)
* NIST AI RMF 1.0 + Generative AI Profile
* ISO/IEC 42001 AIMS + 23894 + 5338 + 38507; 27001/27701/27017/27018
* SR 11-7 + OCC 2011-12
* Basel III/IV (BCBS 239 + Pillar 2 AI capital buffer)
* PRA SS1/23 + SS2/21; FCA Consumer Duty + SYSC + SMCR
* MAS FEAT + AI Verify + TRMG; HKMA GL-90 + SPM GS-1
* EU DORA + NIS2; US EO 14110 + OMB M-24-10
* OECD AI Principles 2024; G7 Hiroshima + Bletchley + Seoul
* Council of Europe AI Convention; FSB AI in financial services
* GDPR Arts 5/6/17/22/25/32/35
Cryptographic + Supply-Chain Stack
==================================
* NIST FIPS 204 (ML-DSA-44/65) + FIPS 203 (ML-KEM-768)
* Sigstore + SLSA L3+ + in-toto + Cosign keyless OIDC + Rekor
* Kata Containers + Cilium L7 + OPA Gatekeeper + Kyverno + AMD
SEV-SNP / Intel TDX
* Cognitive Resonance Protocol (Delta_drift <=4%, latent <=3%,
fiduciary cosine >=0.92, judge kappa >=0.9)
* Kill-switch SLA (logical p95 <=60s, BMC/IPMI <=5min, 3-of-5 quorum)
* zk-SNARK (Groth16 / PLONK) for selective disclosure to supervisors
+ civil-society public verifier
Validation
==========
* node -c server.js -> SYNTAX OK
* 28 endpoints under /api/ent-civ-agi-arch/* registered
* PM2 restart -> rag-dash online
* Endpoint sweep: 43 x HTTP 200 (positive) + 7 x HTTP 404 (negative)
= 50/50 passing
* Live dashboard: http://localhost:4200/ent-civ-agi-arch.html
-> HTTP 200, 84,605 bytes served
Builds on WP-035..WP-048 lineage.
Classification: Regulator/Auditor/Board-Grade.
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📝 WalkthroughWalkthroughThis PR adds a complete governance architecture specification (WP-049) for enterprise AGI/ASI deployment across 2026–2030. The changes include a Python generator that structures 14 governance modules with regulatory alignment, risk controls, and incident protocols into JSON, a static HTML renderer for browser visualization, generated JSON data, and Express API routes for programmatic access. ChangesEnterprise & Civilizational AGI Governance Specification (WP-049)
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| Category | Results |
|---|---|
| Compatibility | 4 medium |
| UnusedCode | 1 medium |
| BestPractice | 49 minor |
| Documentation | 4 minor |
| ErrorProne | 1 medium 1 high |
| CodeStyle | 40 minor |
🟢 Metrics 15 complexity · 18 duplication
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Actionable comments posted: 3
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Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@rag-agentic-dashboard/gen-ent-civ-agi-arch-html.py`:
- Line 10: The JSON load uses platform-default encoding via SRC.read_text(),
which can break on non-UTF-8 locales; change both occurrences (the assignment to
D and the other read at line 282) to call Path.read_text with an explicit
encoding="utf-8" (i.e., read the source with UTF-8) before passing to json.loads
so file I/O is deterministic across locales; update any other uses of
SRC.read_text() in this file to the same pattern.
In `@rag-agentic-dashboard/gen-ent-civ-agi-arch.py`:
- Line 1089: The generated metadata has a hardcoded field "apiRoutes": 100 which
is incorrect for this PR; change the hardcoded value to the correct count (28)
or, preferably, compute it from the actual routes array/collection used to build
the metadata (e.g., replace the literal "apiRoutes": 100 with "apiRoutes":
len(routes) or the equivalent variable that holds the endpoint list), ensuring
the metadata always reflects the true number of endpoints; update the assignment
where "apiRoutes" is defined so it derives from the real routes variable rather
than a magic number.
In `@rag-agentic-dashboard/public/ent-civ-agi-arch.html`:
- Line 81: The displayed API route count is incorrect: update the stat showing
"<div class='v'>100</div><div class='l'>apiRoutes</div>" to reflect the actual
28 endpoints (replace 100 with 28) or wire it to the real route-count source;
locate the HTML block containing the stat (the 'stat' element whose label is
'apiRoutes') and change its value to 28 or read from the canonical route
registry so the summary matches the documented API surface.
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- Push a commit to this branch (recommended)
- Create a new PR with the fixes
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rag-agentic-dashboard/data/ent-civ-agi-arch.jsonrag-agentic-dashboard/gen-ent-civ-agi-arch-html.pyrag-agentic-dashboard/gen-ent-civ-agi-arch.pyrag-agentic-dashboard/public/ent-civ-agi-arch.htmlrag-agentic-dashboard/server.js
Micro-Learning Topic: Cross-site scripting (Detected by phrase)Matched on "xss"Cross-site scripting vulnerabilities occur when unescaped input is rendered into a page displayed to the user. When HTML or script is included in the input, it will be processed by a user's browser as HTML or script and can alter the appearance of the page or execute malicious scripts in their user context. Try a challenge in Secure Code WarriorHelpful references
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WP-049 — Enterprise & Civilizational AGI/ASI Governance Architecture, Implementation & Risk Analysis
Comprehensive 2026-2030 enterprise- and civilizational-scale AGI/ASI and AI governance architecture, implementation, and risk analysis for Fortune 500 / G-SIFI institutions — integrating Sentinel v2.4 and WorkflowAI Pro platforms with global regulatory alignment, multi-layer governance, kill-switch protocols, sector MRM, frontier safety, three reference architectures, institutional prompting, zk-SNARK + PQC audit proofs, GACP/GACRLS/GACRA federation handshakes, six red-team wargames, and RPCO post-incident forensics.
Deliverables
data/ent-civ-agi-arch.json(80.1 KB) — 14 modules, 70 sections, 12 schemas, 16 code examples, 6 case studies, 24 KPIs, 12 risk-control rows, 12 regulators, 7 workshops, 6 data flows, 14 traceability rows, 30/60/90 rollout, 2026-2030 roadmap, evidencePack template.public/ent-civ-agi-arch.html(82.6 KB) — dark-themed sticky-nav dashboard.gen-ent-civ-agi-arch.py(73,359 chars) — deterministic data generator.gen-ent-civ-agi-arch-html.py(11,517 chars) — HTML renderer.server.js— 28 endpoints under/api/ent-civ-agi-arch/*including/m1../m14,/modules/:id,/sections/:id,/schemas[/:id],/code-examples[/:id],/case-studies[/:id],/kpis,/risk-control-matrix,/regulators,/workshops,/data-flows,/traceability,/privacy,/deployment,/rollout-90,/roadmap,/evidence-pack.Module Lineup (14)
Regulatory Alignment
Cryptographic + Supply-Chain Stack
Red-Team Wargame Scenarios (M13)
Validation
node -c server.js→ SYNTAX OK/api/ent-civ-agi-arch/*registeredrag-dashonlinehttp://localhost:4200/ent-civ-agi-arch.html→ HTTP 200, 84,605 bytes servedLineage
Builds on WP-035..WP-048. PR series: #80 (WP-045), #81 (WP-046), #82 (WP-047), #83 (WP-048), #84 (this — WP-049).
Classification: Regulator / Auditor / Board-Grade.
Summary by CodeRabbit
Release Notes