feat(ENTERPRISE-AIGOV-FRAMEWORK-WP-058) v1.0.0 — Enterprise AI/AGI Governance Framework for Large Financial & Fortune 500 Enterprises (2026-2030)#94
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…vernance Framework for Large Financial & Fortune 500 Enterprises (2026-2030)
End-to-end enterprise AI/AGI governance operating model for Fortune 500 /
Global 2000 / G-SIFIs spanning policy, control, risk, compliance, security,
model risk, third-party, AGI containment, and AI Governance Hub architecture.
Regimes (28): ISO/IEC 42001/23894/27001/27701, NIST AI RMF 1.0 + AI 600-1,
NIST SP 800-53/218, OECD AI Principles, EU AI Act 2024/1689 + GPAI 53/55,
GDPR Art-22, DORA, NIS2, CRA, FCRA + ECOA Reg-B, US Fed SR 11-7,
OCC 2011-12, Basel III/IV + ICAAP, SEC 17a-4/10-K/8-K + cyber rules,
FINRA 3110/4511, FCA Consumer Duty + SS1/23 + SMCR SMF-AI, MAS FEAT + TRM,
HKMA GP-1 + GS-2, OSFI E-23, FINMA, G7 Hiroshima, Bletchley/Seoul/Paris.
Modules (M1-M9):
- M1 ISO 42001 AIMS + NIST AI RMF + OECD + EU AI Act foundation
- M2 Financial-services MRM (SR 11-7 + OCC 2011-12 + Basel III/IV + ICAAP)
- M3 GDPR / FCRA / ECOA / FCA Consumer Duty / MAS FEAT / HKMA
- M4 Kafka audit logging + WORM (SEC 17a-4f) + PQC (FIPS 203/204/205)
- M5 Container/Kubernetes security (SLSA L4, PSA restricted, Falco/Tetragon,
Cilium, SPIFFE, Confidential Containers, Nitro Enclaves)
- M6 Policy-as-code (OPA/Rego) at admission/deployment/runtime/data plane
- M7 AI red-teaming program (MITRE ATLAS, OWASP LLM Top 10, NIST AI 100-2,
ARC Evals frontier capability)
- M8 AGI/ASI containment T0-T4 with 3-of-5 quorum + kinetic override +
formally-verified invariants + AISI coordination
- M9 Enterprise AI Governance Hub architecture (event-sourced, GraphQL,
OIDC, WORM-backed, regulator portal)
Indices: AIMS-Coverage >=0.95, MRGI >=0.95, DRI >=0.95, CCS >=0.95,
ARI >=0.9 frontier, CSI >=0.95 T3/T4, RTRI >=0.9, CDC-Score >=0.9,
RCI =1.0. Tiers T0 Sandbox -> T1 Staging -> T2 Canary (<=1%) -> T3
Production Nitro Enclaves -> T4 Frontier Air-Gapped. Severities SEV-0/1/2/3.
Investment USD 180-500M / 5y G-SIFI; NPV USD 500-1500M.
Artifacts:
- gen-enterprise-aigov-framework.py — generator (12 typed helpers)
- data/enterprise-aigov-framework.json — 86 KB payload (9 modules / 45
sections + 10 distinctive arrays totaling 156 entries + standard tail)
- gen-enterprise-aigov-framework-html.py — HTML renderer
- public/enterprise-aigov-framework.html — 87.6 KB regulator-grade view
- server.js — EAGF58 route block (1 page + 9 meta + 13 standard collections +
10 distinctive collections + 18 ID lookups + 1 regulator-by-name) inserted
after END WP-057 marker
Endpoint matrix: 71/71 passing (52 x 200 + 19 x 404 negatives).
node -c server.js: SYNTAX OK (24,667 lines). PM2 rag-dash: online :4200.
WP-056/57 endpoints regression-checked and healthy.
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📝 WalkthroughWalkthroughThis PR adds a complete Enterprise AI/AGI Governance Framework (WP-058) with three-layer implementation: a Python generator building comprehensive JSON governance structures covering nine modules, regulatory compliance, security controls, and audit mechanisms; an HTML renderer transforming that JSON into a static navigable page with tables-of-contents and artifact catalogs; and Express.js routes serving both the HTML page and REST-style API endpoints for framework data access. ChangesWP-058 Governance Framework Implementation
Estimated code review effort🎯 5 (Critical) | ⏱️ ~90 minutes Possibly related PRs
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🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
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Warning There were issues while running some tools. Please review the errors and either fix the tool's configuration or disable the tool if it's a critical failure. 🔧 ast-grep (0.42.3)rag-agentic-dashboard/server.jsThanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. Comment |
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Not up to standards ⛔🔴 Issues
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| Category | Results |
|---|---|
| BestPractice | 2 medium 1 minor |
| Documentation | 21 minor |
| ErrorProne | 1 medium |
| CodeStyle | 74 minor |
| Complexity | 1 minor |
🟢 Metrics 32 complexity · 8 duplication
Metric Results Complexity 32 Duplication 8
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Actionable comments posted: 6
🧹 Nitpick comments (1)
rag-agentic-dashboard/server.js (1)
24509-24644: ⚖️ Poor tradeoffConsider optimizing ID lookups for better performance.
All ID lookup endpoints use
.find()which performs a linear search O(n). With ~23 different collection types and potential for high request volume, consider building index maps at startup for O(1) lookups.♻️ Example optimization pattern
Build index maps after loading the JSON:
const EAGF58 = require('./data/enterprise-aigov-framework.json'); + +// Build lookup indexes for O(1) access +const modulesByMid = new Map(EAGF58.modules?.map(m => [m.mid, m]) || []); +const schemasBySid = new Map(EAGF58.schemas?.map(s => [s.sid, s]) || []); +// ... repeat for other collectionsThen use in handlers:
app.get('/api/enterprise-aigov-framework/modules/:id', (req, res) => { - const m = EAGF58.modules.find(x => x.mid === req.params.id); + const m = modulesByMid.get(req.params.id); if (!m) return res.status(404).json({ error: 'module not found', id: req.params.id }); res.json(m); });This optimization is most valuable if collection sizes exceed ~100 items or request volume is high.
🤖 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/server.js` around lines 24509 - 24644, Create O(1) lookup maps for each EAGF58 collection (e.g. EAGF58.modules, EAGF58.schemas, EAGF58.code, EAGF58.kpis, EAGF58.riskControlMatrix, traceability, dataFlows, regulators, evidencePack, policies, controls, kafkaTopics, k8sControls, opaPolicies, wormControls, mrmArtifacts, redTeams, agiContainments, hubComponents, etc.) at startup (e.g. build modulesById, schemasById, codeById, ... keyed by mid/sid/cid/kid/rid/tid/…); then update each route handler (for example the handlers registered with app.get('/api/enterprise-aigov-framework/modules/:id', ...), app.get('/api/enterprise-aigov-framework/schemas/:id', ...), etc.) to use the corresponding map lookup instead of Array.prototype.find, returning 404 when the map has no entry. Ensure the map-building uses the correct id field names (mid, sid, cid, etc.) and is kept in sync if EAGF58 is reloaded.
🤖 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/gen-enterprise-aigov-framework-html.py`:
- Around line 18-23: SKIP currently contains "scope", causing kv_pairs(s) to
drop section "scope" fields before section_html renders them; edit the SKIP
tuple to remove the "scope" entry so kv_pairs and section_html will include
scope keys when generating HTML (update the SKIP symbol where it's defined and
run any relevant tests to confirm scope fields now appear).
- Around line 3-211: The file fails ruff I001 and many E501 line-lengths;
reorder imports so standard-library imports are sorted (place "from html import
escape" before "from pathlib import Path"), then break up all overlong lines to
<=88 chars: wrap the SKIP tuple across multiple lines, split long HTML snippets
built in list_array (card HTML), the distinctive list entries, the table()
return construction, the tail_html and meta_html f-strings, and the large
html/CSS f-string into multiple concatenated strings or multi-line
f-strings/implicit concatenation; ensure functions mentioned (kv_pairs,
section_html, module_html, list_array, table) keep the same names and behavior
while restructuring strings so ruff I001 and E501 are satisfied.
- Around line 38-43: kv_pairs currently escapes nested lists/dicts into their
Python string repr and table likewise escapes non-scalar cell values; introduce
or use a recursive renderer (e.g., render_value) that returns HTML for scalars,
lists (as <ul>/<li>), and dicts (as nested <div class='kv'> or <ul>) and replace
the dict branch in kv_pairs (and the cell rendering in table where r.get(...) is
escaped) to call render_value instead of e(str(...)); ensure render_value uses
e(...) for scalar text and calls kv_pairs or its own list/dict formatting for
nested structures so nested sections render as proper HTML lists instead of
Python repr.
In `@rag-agentic-dashboard/gen-enterprise-aigov-framework.py`:
- Around line 6-906: The file fails flake8/isort: split the combined import
"import json, os" into two lines and run isort; ensure two blank lines before
each top-level function definition (section, module, policy, control,
kafka_topic, k8s_control, opa_policy, worm_control, mrm_artifact, red_team,
agi_containment, hub_component) to satisfy E302; fix multiline-call indentation
for long module(...) and section(...) constructs to align continuation lines
under the opening parenthesis (resolve E128) and break or assign very long
string literals to named variables (or use implicit adjacent string literals) to
reduce line length to under 88 chars (resolve E501); after edits run
flake8/isort and iterate until no style errors remain.
In `@rag-agentic-dashboard/server.js`:
- Line 24485: The require of './data/enterprise-aigov-framework.json' (assigned
to EAGF58) can throw on missing/invalid JSON; wrap the module load in a
try-catch (or use fs.readFileSync + JSON.parse) around the require to catch and
handle errors, log a clear error via the server logger (including the caught
error message), and either provide a safe fallback for EAGF58 or exit startup
gracefully; update the code that depends on EAGF58 to handle the fallback or
terminated initialization accordingly.
- Around line 24508-24574: Missing defensive checks: several ID endpoints call
.find() on properties like EAGF58.modules, EAGF58.schemas, EAGF58.code,
EAGF58.kpis, EAGF58.riskControlMatrix, EAGF58.traceability, EAGF58.dataFlows,
EAGF58.regulators and EAGF58.evidencePack without verifying the collection
exists and is an array. For each ID handler (e.g. the /modules/:id,
/schemas/:id, /code/:id, /kpis/:id, /risk-control-matrix/:id, /traceability/:id,
/data-flows/:id, /regulators/:reg and /evidence-pack/:id routes) add a defensive
check that the corresponding EAGF58.<collection> is defined and
Array.isArray(...) before calling .find(); if the collection is missing or not
an array return an appropriate error response (e.g. res.status(500).json({
error: 'collection unavailable', collection: '<name>' })) otherwise proceed to
find and return 404 when the item is not found.
---
Nitpick comments:
In `@rag-agentic-dashboard/server.js`:
- Around line 24509-24644: Create O(1) lookup maps for each EAGF58 collection
(e.g. EAGF58.modules, EAGF58.schemas, EAGF58.code, EAGF58.kpis,
EAGF58.riskControlMatrix, traceability, dataFlows, regulators, evidencePack,
policies, controls, kafkaTopics, k8sControls, opaPolicies, wormControls,
mrmArtifacts, redTeams, agiContainments, hubComponents, etc.) at startup (e.g.
build modulesById, schemasById, codeById, ... keyed by
mid/sid/cid/kid/rid/tid/…); then update each route handler (for example the
handlers registered with app.get('/api/enterprise-aigov-framework/modules/:id',
...), app.get('/api/enterprise-aigov-framework/schemas/:id', ...), etc.) to use
the corresponding map lookup instead of Array.prototype.find, returning 404 when
the map has no entry. Ensure the map-building uses the correct id field names
(mid, sid, cid, etc.) and is kept in sync if EAGF58 is reloaded.
🪄 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
⚙️ Run configuration
Configuration used: defaults
Review profile: CHILL
Plan: Pro
Run ID: cc5cb863-f572-47d2-af64-69ec27353b03
📒 Files selected for processing (5)
rag-agentic-dashboard/data/enterprise-aigov-framework.jsonrag-agentic-dashboard/gen-enterprise-aigov-framework-html.pyrag-agentic-dashboard/gen-enterprise-aigov-framework.pyrag-agentic-dashboard/public/enterprise-aigov-framework.htmlrag-agentic-dashboard/server.js
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WP-058 — Enterprise AI/AGI Governance Framework for Large Financial & Fortune 500 Enterprises (2026-2030)
docRef:
ENTERPRISE-AIGOV-FRAMEWORK-WP-058v1.0.0horizon: 2026-2030
apiPrefix:
/api/enterprise-aigov-frameworkbuildsOn: WP-035..WP-057
Scope
End-to-end enterprise AI/AGI governance operating model for Fortune 500 / Global 2000 / G-SIFI financial institutions spanning policy, control, risk, compliance, security, model risk, third-party, AGI containment, and AI Governance Hub architecture.
Regulatory Coverage (28 regimes)
Modules (M1-M9, 45 sections)
Quantitative Envelope
Distinctive Arrays (10 / 156 entries)
Artifacts
gen-enterprise-aigov-framework.pydata/enterprise-aigov-framework.jsongen-enterprise-aigov-framework-html.pypublic/enterprise-aigov-framework.htmlserver.js(EAGF58 block)Endpoint Surface
/enterprise-aigov-framework)Validation
node -c server.js→ SYNTAX OK (24,667 lines total)rag-dash: online on port 4200Insertion
Inserted after
END WP-057marker at line 24482;END WP-058marker at line 24647;SECTION 10 START SERVERat line 24649.Summary by CodeRabbit