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feat(AI-TRUST-ASI-BP-WP-046) v1.0.0 — Enterprise AI Trust, Security & ASI Containment Blueprint for G-SIFI / Fortune 500 (2026-2030)#81

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feat(AI-TRUST-ASI-BP-WP-046) v1.0.0 — Enterprise AI Trust, Security & ASI Containment Blueprint for G-SIFI / Fortune 500 (2026-2030)#81
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WP-046 — Enterprise AI Trust, Security & ASI Containment Blueprint

Comprehensive enterprise AI governance and security blueprint and reviews for G-SIFI / Fortune 500 financial institutions (2026-2030), unifying DevSecOps admission control + Sigstore/ML-DSA-44 CI/CD; AI governance sidecars + Kafka WORM + deterministic replay; zero-egress confidential K8s (Cilium + Kata + Gatekeeper); React trust dashboards + SOC log viewer; high-assurance RAG with RBAC + fiduciary checks + SEV-3 reporting; auto Annex IV / SR 11-7 regulator packs from CI/CD artifacts; SEV-0..SEV-3 IR + AlphaTrade-V9 board tabletops; 2LoD Judge-LLM adversarial; Global Compute Governance Consortium + Basel-like AI capital buffer; trading + credit-underwriting risk reviews with AI BoMs + crypto signatures; 3LoD + external-regulator inference replay (SHAP + governance flags); Go/Python/eBPF kernel interceptors for traffic + PII redaction + Kafka WORM streaming; SEV-0 BMC/IPMI kill-switch; guardrail/judge prompts (pre_flight_guardrail, red_team_judge, incident_triage_analyzer); 90-day rollout; NIST FIPS 204 PQC hardening of WORM + AI BoMs; federated learning + GDPR sovereignty; machine unlearning for Art 17; gradient-anomaly defense vs Sleeper Agent poisoning; ASI honeypot architectures; deceptive-alignment containment patterns for frontier / ASI-precursor systems.

Counts

14 modules · 70 sections · 12 schemas · 16 code examples · 6 case studies · 24 supervisory KPIs · 12 risk-control rows · 12 regulators · 7 workshops · 6 data flows · 14 traceability rows · 3-phase 90-day rollout · 100 API routes (28 distinct /api/ai-trust-asi-bp/* endpoints).

Modules

  • M1 DevSecOps Admission Control + GitHub Actions (Sigstore + ML-DSA-44 + OPA + AI BoM)
  • M2 Sentinel sidecar + Kafka WORM + deterministic replay
  • M3 Zero-egress confidential K8s (Cilium + Kata + Gatekeeper + SEV-SNP/TDX)
  • M4 React trust dashboards + SOC log viewer (CSP + WebAuthn + RBAC + SHAP)
  • M5 High-assurance RAG (RBAC + fiduciary cosine + Judge-LLM + SEV-3 ticket)
  • M6 Auto Annex IV + SR 11-7 regulator pack (PAdES + Sigstore)
  • M7 SEV-0..SEV-3 IR + AlphaTrade-V9 tabletop
  • M8 2LoD Judge-LLM red-team (trading + credit + κ ≥ 0.9)
  • M9 Global Compute Governance Consortium + AI Capital Buffer
  • M10 High-risk reviews (credit + trading + signed AI BoM)
  • M11 3LoD + external-regulator replay (Kafka WORM + SHAP)
  • M12 Go/Python/eBPF kernel interceptors + BMC/IPMI kill-switch
  • M13 pre_flight_guardrail / red_team_judge / incident_triage_analyzer
  • M14 90-day rollout + FIPS 204 PQC + federated learning + Art 17 unlearning + Sleeper-Agent defense + ASI honeypot + deceptive alignment

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 + GAI Profile, ISO/IEC 42001/23894/5338/38507/27001/27701, GDPR Arts 5/6/17/22/25/32/35, EU DORA, Basel III/IV (BCBS 239 + Pillar 2 AI capital buffer), SR 11-7 + OCC 2011-12, PRA SS1/23 + SS2/21, FCA Consumer Duty + SYSC + SMCR, MAS FEAT + AI Verify + TRMG, HKMA SPM GS-1 / GL-90, OECD AI Principles, G7 Hiroshima, COE AI Convention, FSB AI, US EO 14110 + NIST GAI Profile, OWASP LLM Top 10 (2025), MITRE ATLAS, NIST FIPS 204 (ML-DSA) + FIPS 203 (ML-KEM), SLSA L3+ + Sigstore + in-toto, CIS K8s + NSA/CISA Hardening.

Thresholds

piiLeakage ≤ 0.0001 · sev0KillSwitchSeconds ≤ 60 · sev1Hours ≤ 4 · sev2Hours ≤ 24 · sev3Days ≤ 3 · redTeamCoverageT1 ≥ 0.95 · judgeLLMAgreement (κ) ≥ 0.90 · fiduciaryCosineMin ≥ 0.92 · gradientAnomalyZ ≥ 3.5 · honeypotEngagementSeconds ≤ 10 · annexIVAssemblyMinutes ≤ 30 · multisig 3-of-5 · PQC ML-DSA-44 + ML-DSA-65 + Ed25519 hybrid · daily Merkle anchor.

Deliverables

  • rag-agentic-dashboard/data/ai-trust-asi-bp.json (68.1 KB)
  • rag-agentic-dashboard/gen-ai-trust-asi-bp.py
  • rag-agentic-dashboard/gen-ai-trust-asi-bp-html.py
  • rag-agentic-dashboard/public/ai-trust-asi-bp.html (68.9 KB; HTTP 200, 70,529 bytes)
  • rag-agentic-dashboard/server.js with 28 new /api/ai-trust-asi-bp/* routes

Validation

node -c server.js OK · PM2 rag-dash online · 44 HTTP 200 positive checks (root, /meta, /executive-summary, /summary, /counts, /regimes, /directive, /modules, /m1-m14, /modules/M1, /sections/M1-S1, /kpis, /kpis/KPI-01, /risk-control-matrix, /risk-control-matrix/RC-01, /regulators, /regulators/REG-01, /workshops, /workshops/WS-01, /data-flows, /data-flows/DF-01, /traceability, /privacy, /deployment, /rollout-90, /schemas, /schemas/decisionEnvelopeV2, /code-examples, /code-examples/CE-01, /case-studies, /case-studies/CS-01) and 11 HTTP 404 negative checks.

Ownership / classification

Owner: CAIO + CISO + CRO; co-signed by GC, DPO, Head of Internal Audit, Head of Compliance, Head of MRM, Head of Platform Engineering, AI Safety Lead, Treaty Liaison, Head of SOC, Head of Trading Risk, Head of Credit Risk. Classification: CONFIDENTIAL — Board / CRO / CISO / CAIO / GC / DPO / Internal Audit / Head of MRM / AI Safety Lead / Prudential Supervisor / AI Safety Institute.

Lineage

WP-035 → WP-036 → WP-037 → WP-038 → WP-039 → WP-040 → WP-041 → WP-042 → WP-043 → WP-044 → WP-045 → WP-046.

Summary by CodeRabbit

  • New Features

    • Added Enterprise AI Trust, Security & ASI Containment Blueprint with 14-module architecture covering CI/CD admission control, governance oversight, Kubernetes hardening, RAG governance, incident response, adversarial testing, compute governance, and AI safety containment.
    • Added interactive HTML dashboard and API endpoints to access and integrate blueprint data.
  • Documentation

    • Blueprint includes KPI targets, regulatory compliance requirements, risk-control matrices, workshops, data flows, traceability, and a 90-day rollout plan.

Review Change Stack

… ASI Containment Blueprint for G-SIFI / Fortune 500 (2026-2030)

Comprehensive enterprise AI governance and security blueprint and reviews for G-SIFI / Fortune 500 financial institutions (2026-2030), unifying DevSecOps admission control + Sigstore/ML-DSA-44 CI/CD; AI governance sidecars + Kafka WORM + deterministic replay; zero-egress confidential K8s (Cilium + Kata + Gatekeeper); React trust dashboards + SOC log viewer; high-assurance RAG with RBAC + fiduciary checks + SEV-3 reporting; auto Annex IV / SR 11-7 regulator packs from CI/CD artifacts; SEV-0..SEV-3 IR + AlphaTrade-V9 board tabletops; 2LoD Judge-LLM adversarial; Global Compute Governance Consortium + Basel-like AI capital buffer; trading + credit-underwriting risk reviews with AI BoMs + crypto signatures; 3LoD + external-regulator inference replay (SHAP + governance flags); Go/Python/eBPF kernel interceptors for traffic + PII redaction + Kafka WORM streaming; SEV-0 BMC/IPMI kill-switch; guardrail/judge prompts (pre_flight_guardrail, red_team_judge, incident_triage_analyzer); 90-day rollout; NIST FIPS 204 PQC hardening of WORM + AI BoMs; federated learning + GDPR sovereignty; machine unlearning for Art 17; gradient-anomaly defense vs Sleeper Agent poisoning; ASI honeypot architectures; deceptive-alignment containment patterns for frontier / ASI-precursor systems.

Counts: 14 modules · 70 sections · 12 schemas · 16 code examples · 6 case studies · 24 supervisory KPIs · 12 risk-control rows · 12 regulators · 7 workshops · 6 data flows · 14 traceability rows · 3-phase 90-day rollout · 100 API routes (28 distinct /api/ai-trust-asi-bp/* endpoints).

Modules: M1 DevSecOps Admission Control + GitHub Actions (Sigstore + ML-DSA-44 + OPA + AI BoM) · M2 Sentinel sidecar + Kafka WORM + deterministic replay · M3 Zero-egress confidential K8s (Cilium + Kata + Gatekeeper + SEV-SNP/TDX) · M4 React trust dashboards + SOC log viewer (CSP + WebAuthn + RBAC + SHAP) · M5 High-assurance RAG (RBAC + fiduciary cosine + Judge-LLM + SEV-3 ticket) · M6 Auto Annex IV + SR 11-7 regulator pack (PAdES + Sigstore) · M7 SEV-0..SEV-3 IR + AlphaTrade-V9 tabletop · M8 2LoD Judge-LLM red-team (trading + credit + κ ≥ 0.9) · M9 Global Compute Governance Consortium + AI Capital Buffer · M10 High-risk reviews (credit + trading + signed AI BoM) · M11 3LoD + external-regulator replay (Kafka WORM + SHAP) · M12 Go/Python/eBPF kernel interceptors + BMC/IPMI kill-switch · M13 pre_flight_guardrail / red_team_judge / incident_triage_analyzer · M14 90-day rollout + FIPS 204 PQC + federated learning + Art 17 unlearning + Sleeper-Agent defense + ASI honeypot + deceptive alignment.

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 + GAI Profile, ISO/IEC 42001/23894/5338/38507/27001/27701, GDPR Arts 5/6/17/22/25/32/35, EU DORA, Basel III/IV (BCBS 239 + Pillar 2 AI capital buffer), SR 11-7 + OCC 2011-12, PRA SS1/23 + SS2/21, FCA Consumer Duty + SYSC + SMCR, MAS FEAT + AI Verify + TRMG, HKMA SPM GS-1 / GL-90, OECD AI Principles, G7 Hiroshima, COE AI Convention, FSB AI, US EO 14110 + NIST GAI Profile, OWASP LLM Top 10 (2025), MITRE ATLAS, NIST FIPS 204 (ML-DSA) + FIPS 203 (ML-KEM), SLSA L3+ + Sigstore + in-toto, CIS K8s + NSA/CISA Hardening.

Thresholds: piiLeakage ≤ 0.0001 · sev0KillSwitchSeconds ≤ 60 · sev1Hours ≤ 4 · sev2Hours ≤ 24 · sev3Days ≤ 3 · redTeamCoverageT1 ≥ 0.95 · judgeLLMAgreement (κ) ≥ 0.90 · fiduciaryCosineMin ≥ 0.92 · gradientAnomalyZ ≥ 3.5 · honeypotEngagementSeconds ≤ 10 · annexIVAssemblyMinutes ≤ 30 · multisig 3-of-5 · PQC ML-DSA-44 + ML-DSA-65 + Ed25519 hybrid · daily Merkle anchor.

Deliverables (rag-agentic-dashboard/): data/ai-trust-asi-bp.json (68.1 KB), gen-ai-trust-asi-bp.py, gen-ai-trust-asi-bp-html.py, public/ai-trust-asi-bp.html (68.9 KB; HTTP 200, 70,529 bytes), server.js with 28 new /api/ai-trust-asi-bp/* routes.

Validation: node -c server.js OK; PM2 rag-dash online; 44 HTTP 200 positive checks (root, /meta, /executive-summary, /summary, /counts, /regimes, /directive, /modules, /m1-m14, /modules/M1, /sections/M1-S1, /kpis, /kpis/KPI-01, /risk-control-matrix, /risk-control-matrix/RC-01, /regulators, /regulators/REG-01, /workshops, /workshops/WS-01, /data-flows, /data-flows/DF-01, /traceability, /privacy, /deployment, /rollout-90, /schemas, /schemas/decisionEnvelopeV2, /code-examples, /code-examples/CE-01, /case-studies, /case-studies/CS-01) and 11 HTTP 404 negative checks.

Owner: CAIO + CISO + CRO; co-signed by GC, DPO, Head of Internal Audit, Head of Compliance, Head of MRM, Head of Platform Engineering, AI Safety Lead, Treaty Liaison, Head of SOC, Head of Trading Risk, Head of Credit Risk. Classification: CONFIDENTIAL — Board / CRO / CISO / CAIO / GC / DPO / Internal Audit / Head of MRM / AI Safety Lead / Prudential Supervisor / AI Safety Institute.

Lineage: WP-035 → WP-036 → WP-037 → WP-038 → WP-039 → WP-040 → WP-041 → WP-042 → WP-043 → WP-044 → WP-045 → WP-046.
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Review changes with  SemanticDiff

Changed Files
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  rag-agentic-dashboard/data/ai-trust-asi-bp.json  0% smaller
  rag-agentic-dashboard/gen-ai-trust-asi-bp-html.py  0% smaller
  rag-agentic-dashboard/gen-ai-trust-asi-bp.py  0% smaller
  rag-agentic-dashboard/public/ai-trust-asi-bp.html  0% smaller
  rag-agentic-dashboard/server.js  0% smaller

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📝 Walkthrough

Walkthrough

This PR introduces WP-046, a comprehensive Enterprise AI Trust, Security & ASI Containment Blueprint for 2026–2030. It comprises five interconnected components: a JSON data file defining 14 modules of governance controls, two Python generators (one creating the JSON, one rendering it to HTML), a public static HTML dashboard, and Express.js REST API routes exposing the blueprint for programmatic access.

Changes

Enterprise AI Trust, Security & ASI Containment Blueprint (WP-046)

Layer / File(s) Summary
Blueprint Data Structure
rag-agentic-dashboard/data/ai-trust-asi-bp.json
JSON blueprint defines docRef, version, horizon, classification, API prefix, and machine-parsable directive (scope, thresholds, hybrid PQ+classical signing, containment flags). Specifies 14 modules (M1–M14) covering CI/CD admission, governance sidecars with WORM replay, zero-egress confidential K8s, RAG governance, regulator pack generation, incident response, adversarial testing with Judge-LLM, compute governance, risk reviews, replay tooling with SHAP, kernel/BMC interceptors, and guardrail/judge prompt templates. Includes schemas for envelopes, packs, tickets, receipts, judge reports, honeypots, and federated learning; code examples across YAML/rego/Go/Python/TypeScript; KPIs (24), risk/control matrix (12 rows), case studies (6), traceability, data flows, regulators (12), workshops (7), privacy requirements, deployment considerations, and 90-day rollout phases.
JSON Data Generation
rag-agentic-dashboard/gen-ai-trust-asi-bp.py
Python script assembles complete blueprint document. Defines DOC metadata (classification, owner, applicable regimes) and section() helper. Constructs 14-module architecture with id/title/summary/covers and multi-subsection content. Builds schemas, code examples (CE-01…CE-16), case studies, 24 KPIs with targets, 12-row risk/control matrix, traceability rows, data flows, regulator entities, workshop schedules, privacy/deployment tables, and 3-phase 90-day rollout (PQC hardening, federated learning, machine unlearning, sleeper-agent defense, ASI honeypots). Assembles all into DOC, computes counts summary, ensures output directory, writes formatted JSON, and prints size/count metrics.
HTML Generation & Rendering
rag-agentic-dashboard/gen-ai-trust-asi-bp-html.py
Python script loads JSON blueprint and generates static HTML dashboard. Defines HTML-escaping function esc() and generic JSON-to-HTML renderers (render_value, render_kv, render_list) for nested structures. Builds module <article> fragments with collapsible <details> subsections and "covers" pills. Constructs table rows for KPIs, regulators, workshops, data flows, traceability, risk/control matrix, schemas, code examples, case studies, and rollout items. Merges fragments into full HTML template with global styling, sticky navigation anchors, and semantic sections. Writes rendered output to public/ai-trust-asi-bp.html, creating parent directory if needed, and prints generation confirmation.
Public HTML Dashboard
rag-agentic-dashboard/public/ai-trust-asi-bp.html
Static HTML page presenting WP-046 blueprint with full document skeleton, global CSS, and sticky in-page navigation. Executive Summary section covers purpose, approach, deliverables, quantified outcomes, and aligned regulatory regimes. Machine-Parsable Directive block includes raw XML-style directive and parsed field table plus consumer list. Modules section (M1–M14) presents each module with structured subsections and control descriptions. Includes supervisory KPI table (24 rows with targets), risk/control matrix (12 rows), regulators table (12), workshops (7), data flows (6), traceability (12 rows connecting features to controls to regimes), schemas (12 with field definitions), and code examples section (16 snippets across YAML/rego/Go/Python/TypeScript/C for signing, Gatekeeper, Cilium, replay, DP, federated learning, unlearning, kill-switching, honeypots). Also includes case studies (6 quantified scenarios), 90-day rollout plan (3 tracks), privacy & sovereignty table, deployment considerations, and footer with API prefix and generation reference.
REST API Routes
rag-agentic-dashboard/server.js
Express.js route handlers expose blueprint via /api/ai-trust-asi-bp endpoints. Root and metadata routes return full document, summary fields, counts, regulatory regimes, and directive. Module routes include /modules (list), /modules/:id (item lookup with 404 handling), fixed routes /m1/m14 mapping to M1M14 ids, and /sections/:id returning {moduleId, ...section} with 404. KPI routes: /kpis list and /kpis/:id with 404. Risk/control routes: /risk-control-matrix list and /risk-control-matrix/:id with 404. Regulator routes: /regulators list and /regulators/:id with 404. Workshop routes: /workshops list and /workshops/:id with 404. Also list endpoints for /data-flows, /traceability, /privacy, /deployment-considerations, and /rollout-90; collection and item-by-id routes for /schemas, /code-examples, and /case-studies with 404 error responses. All endpoints return safe empty defaults ([] or {}) when collections are missing.

Estimated code review effort

🎯 4 (Complex) | ⏱️ ~60 minutes

Possibly related PRs

Suggested labels

enhancement, Review effort [1-5]: 4

Suggested reviewers

  • gstraccini

Poem

🐰 A blueprint hops forth, fourteen modules strong,
With directives parsed and guardrails sung,
From JSON seed to HTML bloom,
Then REST routes whisper through the room—
ASI contained, the future's song. 🌟

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed The title directly and comprehensively captures the main change: a new Enterprise AI Trust, Security & ASI Containment Blueprint (WP-046 v1.0.0) for 2026-2030, which is the primary deliverable across all modified files.
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.

✏️ Tip: You can configure your own custom pre-merge checks in the settings.

✨ Finishing Touches
📝 Generate docstrings
  • Create stacked PR
  • Commit on current branch
🧪 Generate unit tests (beta)
  • Create PR with unit tests
  • Commit unit tests in branch genspark_ai_developer

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.

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rag-agentic-dashboard/server.js

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Failed to generate code suggestions for PR

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Not up to standards ⛔

🔴 Issues 4 high · 5 medium · 91 minor

Alerts:
⚠ 100 issues (≤ 0 issues of at least minor severity)

Results:
100 new issues

Category Results
Compatibility 3 medium
UnusedCode 1 medium
BestPractice 49 minor
Documentation 4 minor
ErrorProne 1 medium
4 high
CodeStyle 38 minor

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🟢 Metrics 15 complexity · 10 duplication

Metric Results
Complexity 15
Duplication 10

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Actionable comments posted: 6

🧹 Nitpick comments (1)
rag-agentic-dashboard/gen-ai-trust-asi-bp-html.py (1)

35-36: 💤 Low value

Consider removing unused helper function.

The render_list function is defined but never called. It appears render_value (lines 17-24) handles list rendering directly without delegating to this helper.

♻️ Proposed cleanup
-def render_list(items):
-    return "<ul>" + "".join(f"<li>{render_value(i)}</li>" for i in (items or [])) + "</ul>"
-
-
🤖 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-ai-trust-asi-bp-html.py` around lines 35 - 36, The
function render_list is an unused helper—remove or inline it to avoid dead code:
delete the render_list definition since render_value already handles lists (see
render_value) and ensure no other code references render_list; if you intended
to use a helper, refactor render_value to call render_list instead and update
references accordingly.
🤖 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-ai-trust-asi-bp.py`:
- Around line 42-45: The artifact's "classification" field is set to
CONFIDENTIAL while the endpoint /api/ai-trust-asi-bp exposes it publicly; either
downgrade the classification to an appropriate publication level or restrict the
API route to authorized roles. Locate the "classification" key in
gen-ai-trust-asi-bp.py and either change its value to a non-confidential level
(e.g., INTERNAL or PUBLIC) if safe for exposure, or implement/enable access
control on /api/ai-trust-asi-bp (e.g., require authentication and enforce role
checks for Board/CRO/CISO/CAIO/GC/DPO/Internal Audit/Head of MRM/AI Safety
Lead/Prudential Supervisor/AI Safety Institute) so only permitted principals can
fetch this artifact.
- Line 997: The current OUT.write_text(json.dumps(DOC, indent=2)) may mis-encode
non-ASCII characters; update the write to emit UTF-8 and preserve characters by
using json.dumps with ensure_ascii=False and writing with an explicit UTF-8
encoding (i.e., call json.dumps(DOC, indent=2, ensure_ascii=False) and pass
encoding='utf-8' to OUT.write_text or write bytes encoded as UTF-8), referencing
the DOC variable and the OUT.write_text call to locate the change.
- Line 993: The hardcoded magic number "apiRoutes": 100 should be removed or
made dynamic: locate the dictionary/object emitting governance metadata (the
entry with the "apiRoutes" key) and either delete the "apiRoutes" field there or
replace it with a placeholder/value populated at runtime by the API layer (e.g.,
set to None or omit and have the API compute route_count), and ensure any code
that consumes this metadata gracefully handles a missing or null apiRoutes
value; update any callers that assume the integer to read the computed count
from the API instead.

In `@rag-agentic-dashboard/server.js`:
- Around line 23268-23272: Add input validation at the start of each Express
route that uses req.params.id (e.g., the handler registered by
app.get('/api/ai-trust-asi-bp/modules/:id') and the similar KPI, risk-control,
regulators, workshops, data-flows, schemas, code-examples, case-studies,
sections routes) by checking that req.params.id is a non-empty string after
trimming and does not contain suspicious characters (e.g., null bytes or path
separators like '/' or '\\'); if the check fails respond with
res.status(400).json({ error: 'invalid id' }) and return early before doing the
find() lookup so the subsequent find logic (e.g., AITRUSTASI.modules.find(...))
only runs for validated ids.
- Around line 23273-23279: Remove the fragile hardcoded shorthand routes by
deleting the for-loop that registers app.get(`/api/ai-trust-asi-bp/m${i}`, ...)
which iterates 1..14 and looks up modules via (AITRUSTASI.modules || []).find(x
=> x.id === `M${i}`); instead rely on the existing parameterized route
`/api/ai-trust-asi-bp/modules/:id` (or, if shorthands are required, replace the
fixed loop with a dynamic registration that iterates over AITRUSTASI.modules and
registers one app.get per module id). Ensure any references to the `/m${i}`
endpoints are updated or documented for backward compatibility.
- Around line 23251-23262: The AITRUSTASI endpoints (routes like
app.get('/api/ai-trust-asi-bp', ...), '/api/ai-trust-asi-bp/*' and the
AITRUSTASI object) are exposed with no auth; add an authentication/authorization
middleware (e.g., ensureAuthenticated or your existing authMiddleware) to all
/api/ai-trust-asi-bp routes (either by applying the middleware to each app.get
or by mounting a router and using router.use('/api/ai-trust-asi-bp',
authMiddleware) so every handler for AITRUSTASI is protected), and for the root
route that currently returns the full AITRUSTASI object restrict it to internal
users or replace it with a limited/filtered response (paginated or field-limited
summary) to prevent returning CONFIDENTIAL data; ensure any role checks or
classification checks run before accessing AITRUSTASI in handlers like the
executive-summary/counts/regimes/directive endpoints.

---

Nitpick comments:
In `@rag-agentic-dashboard/gen-ai-trust-asi-bp-html.py`:
- Around line 35-36: The function render_list is an unused helper—remove or
inline it to avoid dead code: delete the render_list definition since
render_value already handles lists (see render_value) and ensure no other code
references render_list; if you intended to use a helper, refactor render_value
to call render_list instead and update references accordingly.
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Reviewing files that changed from the base of the PR and between d3f36d6 and 8bdd411.

📒 Files selected for processing (5)
  • rag-agentic-dashboard/data/ai-trust-asi-bp.json
  • rag-agentic-dashboard/gen-ai-trust-asi-bp-html.py
  • rag-agentic-dashboard/gen-ai-trust-asi-bp.py
  • rag-agentic-dashboard/public/ai-trust-asi-bp.html
  • rag-agentic-dashboard/server.js

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