feat(ENT-AI-GRC-CIV-BP-WP-048) v1.0.0 — Enterprise AI GRC + Civilizational Governance Blueprint (2026-2030)#83
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…ional Governance Blueprint (2026-2030)
Adds WP-048: Enterprise AI Governance, Risk & Compliance + Civilizational
Governance Blueprint for G-SIFI / Fortune 500 / Global 2000 institutions
spanning ISO/IEC 42001 AIMS, audit-defensible MRM, AGI containment, and
treaty-grade civilizational AI governance (2026-2030; treaty design 2026-2035).
Deliverables
============
* data/ent-ai-grc-civ-bp.json (85.0 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 (<=45 min SLA).
* public/ent-ai-grc-civ-bp.html (86.9 KB) — dark-themed sticky-nav dashboard
with /evidence-pack panel.
* gen-ent-ai-grc-civ-bp.py (80,301 chars) — deterministic data generator.
* gen-ent-ai-grc-civ-bp-html.py (11,520 chars) — HTML renderer.
* server.js — 28 endpoints under /api/ent-ai-grc-civ-bp/* 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 ISO/IEC 42001 AIMS Manual (Cl 4-10) + Annex A control catalog (38 ctrls)
mapped to EU AI Act / NIST AI RMF / SR 11-7 / Basel III / GDPR
M2 Model Risk Policy (audit-defensible, board-approved)
M3 MRM Platform Architecture (Terraform + K8s + Kafka + OPA, WORM logging,
CI/CD gates, deterministic replay, CRS-UUID lineage, Cognitive
Resonance monitoring, AGI/ASI containment)
M4 SRASE — Synthetic Regulator Audit Simulation Environment (composite
>=0.9 pre-flight gate)
M5 Sentinel AGI Containment Lab + adversarial red-team + regulator demo
playbooks
M6 International AI Treaty Design (2026-2035)
M7 Global Audit API + Certification Scoring Engine (Bronze/Silver/Gold/
Platinum) + GIEN streaming protocol
M8 Automated Sanction Execution Engine (G1-G6) + Global AI Governance
Constitution (Arts 1-7) + Civilizational Governance Codex
M9 Public Transparency Portal + Cultural Resonance Archive + CSE-X
civilizational simulation engine
M10 Governance Invariance + Meta-Invariance Verification Systems
M11 Epistemic + Ontological + Existential + Value Alignment Systems
M12 UMIF — Unified Meta-Invariant Framework (L1->L4) + Self-Proving
Systems + Policy DSL (Coq + TLA+ + SMT/Z3 + OPA + K8s + PCR/PCO repair)
M13 Minimal Governance Kernel (<10 KLOC, >=95% formal proof coverage,
>=10,000-attack adversarial break harness per release)
M14 Integrated Operating Model + per-audience evidence pack
Regulatory Alignment
====================
* ISO/IEC 42001 AIMS (Clauses 4-10 + Annex A, 38 controls)
* 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 + GAI Profile (Govern/Map/Measure/Manage)
* SR 11-7 + OCC 2011-12, PRA SS1/23, FCA Consumer Duty + SMCR
* MAS FEAT, HKMA GL-90
* Basel III/IV (BCBS 239 + Pillar 2 AI capital buffer), DORA, EO 14110
* GDPR Arts 5/6/17/22/25/32/35
Cryptographic + Supply-Chain Stack
==================================
* NIST FIPS 204 (ML-DSA-44/65) + FIPS 203 (ML-KEM)
* Sigstore + SLSA L3+ + in-toto + Cosign keyless OIDC + Rekor
* Kata Containers + Cilium L7 + OPA Gatekeeper + 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)
* CRS-UUID lineage spine
Validation
==========
* node -c server.js -> SYNTAX OK
* 28 endpoints under /api/ent-ai-grc-civ-bp/* registered
* PM2 restart -> rag-dash online
* Endpoint sweep: 41 x HTTP 200 (positive) + 7 x HTTP 404 (negative) = 48/48
* Live dashboard: http://localhost:4200/ent-ai-grc-civ-bp.html -> HTTP 200,
88,958 bytes served
Builds on WP-035..WP-047 lineage.
Classification: Regulator/Auditor/Board-Grade.
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📝 WalkthroughWalkthroughThis PR introduces a complete Enterprise AI GRC + Civilizational Governance Blueprint (ENT-AI-GRC-CIV-BP-WP-048) via a Python-driven data pipeline: a generator script builds a 2,430-line JSON document containing 14 governance modules, KPIs, regulatory mappings, and roadmap; an HTML renderer converts that JSON to a styled single-page dashboard; and new Express API routes expose the blueprint data programmatically. The system spans governance, audit, containment, transparency, formal verification, alignment, and minimal governance kernel domains through 2030. ChangesBlueprint System
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes Possibly related PRs
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Not up to standards ⛔🔴 Issues
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| Category | Results |
|---|---|
| Compatibility | 3 medium |
| UnusedCode | 1 medium |
| BestPractice | 49 minor |
| Documentation | 3 minor |
| ErrorProne | 1 medium 1 high |
| CodeStyle | 42 minor |
🟢 Metrics 15 complexity · 17 duplication
Metric Results Complexity 15 Duplication 17
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Actionable comments posted: 2
🧹 Nitpick comments (3)
rag-agentic-dashboard/gen-ent-ai-grc-civ-bp-html.py (2)
35-36: ⚡ Quick winRemove unused
render_listfunction.This helper function doesn't appear to be called anywhere in the script. If it's not needed, removing it will reduce maintenance burden.
🧹 Proposed cleanup
-def render_list(items): - return "<ul>" + "".join(f"<li>{render_value(i)}</li>" for i in (items or [])) + "</ul>" - - # Modules mods_html = []🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@rag-agentic-dashboard/gen-ent-ai-grc-civ-bp-html.py` around lines 35 - 36, The function render_list is unused and should be removed to reduce dead code; delete the render_list definition (the def render_list(...) block) and any related imports/comments, and run a quick grep for "render_list(" to ensure nothing calls it before committing.
3-3: 💤 Low valueConsider splitting imports onto separate lines.
PEP 8 recommends separate lines for imports for better readability and diff clarity.
📝 Suggested style improvement
-import json, html +import json +import html🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@rag-agentic-dashboard/gen-ent-ai-grc-civ-bp-html.py` at line 3, The top-level import currently combines modules on one line ("import json, html"); split this into separate import statements so each module is on its own line (e.g., an import line for json and another for html) to follow PEP 8 and improve diff readability—update the import block where "import json, html" appears.rag-agentic-dashboard/gen-ent-ai-grc-civ-bp.py (1)
1300-1300: ⚡ Quick winConsider calculating
apiRoutesdynamically or documenting it as an estimate.The hardcoded value
100may become stale as the API surface evolves. If this represents the actual route count exposed byserver.js, consider either calculating it from the server configuration or adding a comment noting it's an approximate/planned count.🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@rag-agentic-dashboard/gen-ent-ai-grc-civ-bp.py` at line 1300, The hardcoded "apiRoutes": 100 can become inaccurate; update the code that sets the apiRoutes value (the "apiRoutes" property) to compute it dynamically by reading the actual route definitions from your server/router (e.g., enumerate routes registered in server.js or your express/fastify app) or, if dynamic calculation is not feasible, replace the literal with a documented estimate by adding a clear comment next to the "apiRoutes" key stating it is an approximate/planned count and when to update it; locate the assignment of "apiRoutes" in the config/object and either wire it to the route-count function from your server router or add the explanatory comment.
🤖 Prompt for all review comments with AI agents
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/data/ent-ai-grc-civ-bp.json`:
- Line 2428: The apiRoutes count "apiRoutes" is incorrect (set to 100) and
should reflect the actual number of endpoints; update the "apiRoutes" property
to 28 to match the PR summary stating "28 API endpoints under
/api/ent-ai-grc-civ-bp/*" so dashboard consumers see accurate metrics.
- Line 5: The JSON key "classification" currently contains the string
"CONFIDENTIAL — Board / CEO / CRO / CISO / CAIO / GC / DPO / Head of Internal
Audit / Head of MRM / AI Safety Lead / Enterprise Architecture / AI Platform
Engineering / Treaty Liaison / Prudential Supervisor / AI Safety Institute /
Civilizational Governance Council"; either remove that confidential file from
the repository and purge it from history if it truly contains sensitive data, or
if it is a sample/template remove or change the "classification" value to a
non-confidential label and move the template to a private location; in all cases
add an exclusion pattern to .gitignore to prevent future commits of this file
(or its filename pattern) and verify the repository history no longer exposes
the confidential content.
---
Nitpick comments:
In `@rag-agentic-dashboard/gen-ent-ai-grc-civ-bp-html.py`:
- Around line 35-36: The function render_list is unused and should be removed to
reduce dead code; delete the render_list definition (the def render_list(...)
block) and any related imports/comments, and run a quick grep for "render_list("
to ensure nothing calls it before committing.
- Line 3: The top-level import currently combines modules on one line ("import
json, html"); split this into separate import statements so each module is on
its own line (e.g., an import line for json and another for html) to follow PEP
8 and improve diff readability—update the import block where "import json, html"
appears.
In `@rag-agentic-dashboard/gen-ent-ai-grc-civ-bp.py`:
- Line 1300: The hardcoded "apiRoutes": 100 can become inaccurate; update the
code that sets the apiRoutes value (the "apiRoutes" property) to compute it
dynamically by reading the actual route definitions from your server/router
(e.g., enumerate routes registered in server.js or your express/fastify app) or,
if dynamic calculation is not feasible, replace the literal with a documented
estimate by adding a clear comment next to the "apiRoutes" key stating it is an
approximate/planned count and when to update it; locate the assignment of
"apiRoutes" in the config/object and either wire it to the route-count function
from your server router or add the explanatory comment.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
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Plan: Pro
Run ID: 306f5b39-7407-4b74-956a-3a70b54897fb
📒 Files selected for processing (5)
rag-agentic-dashboard/data/ent-ai-grc-civ-bp.jsonrag-agentic-dashboard/gen-ent-ai-grc-civ-bp-html.pyrag-agentic-dashboard/gen-ent-ai-grc-civ-bp.pyrag-agentic-dashboard/public/ent-ai-grc-civ-bp.htmlrag-agentic-dashboard/server.js
Micro-Learning Topic: External entity injection (Detected by phrase)Matched on "xXE"An XML External Entity attack is a type of attack against an application that parses XML input. This attack occurs when XML input containing a reference to an external entity is processed by a weakly configured XML parser. This attack may lead to the disclosure of confidential data, denial of service, server-side request forgery, port scanning from the perspective of the machine where the parser is located, and other system impacts. Try a challenge in Secure Code WarriorHelpful references
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WP-048 — Enterprise AI GRC + Civilizational Governance Blueprint
Adds WP-048: a regulator-, auditor-, and board-grade blueprint for an integrated Enterprise AI Governance, Risk & Compliance stack for G-SIFI / Fortune 500 / Global 2000 institutions spanning ISO/IEC 42001 AIMS, audit-defensible MRM, AGI containment, and treaty-grade civilizational AI governance (2026-2030; treaty design 2026-2035).
Deliverables
data/ent-ai-grc-civ-bp.json(85.0 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 (≤45 min SLA).public/ent-ai-grc-civ-bp.html(86.9 KB) — dark-themed sticky-nav dashboard with/evidence-packpanel.gen-ent-ai-grc-civ-bp.py(80,301 chars) — deterministic data generator.gen-ent-ai-grc-civ-bp-html.py(11,520 chars) — HTML renderer.server.js— 28 endpoints under/api/ent-ai-grc-civ-bp/*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
Validation
node -c server.js→ SYNTAX OK/api/ent-ai-grc-civ-bp/*registeredrag-dashonlinehttp://localhost:4200/ent-ai-grc-civ-bp.html→ HTTP 200, 88,958 bytes servedLineage
Builds on WP-035..WP-047. PR series: #80 (WP-045), #81 (WP-046), #82 (WP-047), #83 (this — WP-048).
Classification: Regulator / Auditor / Board-Grade.
Summary by CodeRabbit