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AISAFETY-GOVNAV-WP-027 v1.0.0 — AI Safety & Global Governance Navigator: Technical Report, Roadmap, Product Features, 86 Endpoints#54

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AISAFETY-GOVNAV-WP-027 v1.0.0 — AI Safety & Global Governance Navigator: Technical Report, Roadmap, Product Features, 86 Endpoints#54
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AISAFETY-GOVNAV-WP-027 v1.0.0 — AI Safety & Global Governance Navigator

Overview

Comprehensive module adding AI safety risk taxonomy (Section 2), global governance frameworks (Section 3), stakeholder mapping (Section 4), dependency-aware implementation roadmap, 6 product feature designs, and 3 cross-cutting concerns — all backed by 86 API endpoints and a new 12-section dashboard.


New Dashboard: ai-safety-governance-navigator.html (67,698 bytes)

  • 12 navigable sections with keyboard shortcuts (1-0)
  • WCAG 2.1 AA accessible with skip-link, keyboard navigation, screen reader support
  • Dark/light theme toggle
  • Real-time API integration with all 86 backend endpoints
  • Renders in 0.31s with zero console errors

Section 2 — AI Safety Risk Taxonomy (5 Categories, 21 Sub-Risks)

Category Sub-Risks OPA Rules Sentinel Rules Severity
Intentional Misuse & Weaponization 5 50 140 CRITICAL
Unintended Consequences & Emergent Behavior 5 76 190 HIGH
Existential & Catastrophic Threats 5 80 190 EXISTENTIAL
Privacy, Surveillance & Data Exploitation 3 38 102 HIGH
Accountability & Transparency Gaps 3 36 88 HIGH
  • Risk Matrix: 248 OPA rules, 612 Sentinel rules, 76.2% mitigation coverage
  • Tabbed UI with severity/likelihood badges, example scenarios, regulatory references

Section 3 — Global Governance Frameworks (3 Types, 9 Instances)

  • International Treaties: Bletchley Declaration, Seoul AI Safety Summit, UN Framework Convention
  • Multi-Stakeholder: OECD AI Principles (46 countries), Partnership on AI (100+ orgs), GPAI
  • Adaptive Regulatory: EU AI Office (binding), UK AISI (advisory), US NIST + EO 14110
  • Comparative assessment matrix: binding effectiveness, adaptive capacity, global coverage

Section 4 — Key Stakeholders (6 Groups)

  • Governments, International Orgs, AI Developers, Researchers, Civil Society, General Public
  • Each with: roles, responsibilities, contributions, influence/resources/coordination levels, challenges

Implementation Roadmap (4 Phases, 19 Milestones, 30 Weeks, $14.0M)

Phase Duration Budget Key Deliverables
1: Foundation Layer Weeks 1-6 $2.4M RBAC, telemetry, model registry, compliance framework
2: Core Product Weeks 7-14 $3.8M Prompt studio, compliance dashboard, PDF export
3: Advanced Capabilities Weeks 15-22 $4.2M AI assistant, PID alignment, active learning v2
4: Enterprise Hardening Weeks 23-30 $3.6M ISO 42001 cert, crisis simulation, production launch
  • RICE-scored milestones with dependency edges
  • Cross-cutting coverage: RBAC 53%, Active Learning 42%, Compliance 74%

Product Features (6 Groups)

  • Model Registry: 847 models, 13-field schema, lineage tracking, 2,341 research links
  • Prompt Engineering Studio: safety scoring (toxicity/bias/PII/injection), clarity analysis, 47 templates, A/B testing
  • Compliance Dashboard: EU AI Act 89.4%, NIST 94.8%, ISO 42001 93.2%, 145 controls mapped, 5 risk thresholds
  • Version Control: 14,113 versions (reports, models, policies, prompts), SHA-256 + Merkle integrity
  • PDF Export: 5 compliance layouts (Board, Regulator, Compliance, Audit, Incident), Ed25519 signatures
  • Telemetry: 6-level safety status, PID controller (Kp=0.45, Ki=0.12, Kd=0.08), Merkle audit (12.4M leaves, depth 24)

Cross-Cutting Concerns

  • RBAC: 7 roles, 42 permissions, 5 enforcement points, MFA required for levels 1-4
  • Active Learning: 5 loops, 67% auto-remediation, 3.2% monthly accuracy improvement
  • Regulatory Compliance: Deep EU AI Act / NIST AI RMF / ISO 42001 mapping per product feature

Server Updates

  • NAV-12 added: Safety Navigator with 11 sub-items
  • Route ordering fixed for parameterized endpoints
  • Navigation items: 12

Testing

  • 84/84 AISAFETY-GOVNAV endpoints passed
  • Dashboard render time: 0.31s
  • Zero console errors

Totals

  • 1,045 API endpoints (+86)
  • 45 HTML pages (+1)
  • 18,788 server.js lines

Live Dashboards

Summary by Sourcery

Add an AI Safety & Global Governance Navigator module with a new dashboard, navigation entry, and comprehensive API surface for AI safety risks, governance, stakeholders, roadmap, and product features.

New Features:

  • Introduce an AI Safety & Global Governance Navigator domain exposing 86 API endpoints covering AI safety risks, global governance frameworks, stakeholder mapping, implementation roadmap, product features, and cross-cutting concerns.
  • Add a dedicated AI safety governance navigator dashboard page with 12 interactive sections, keyboard navigation, dark/light theme toggle, and live integration to the new APIs.

Enhancements:

  • Extend the global governance hub navigation to include the Safety Navigator entry and its sub-sections, updating related navigation metrics.

… — Dashboard + 86 API Endpoints + NAV-12

AISAFETY-GOVNAV-WP-027 v1.0.0 — Navigating AI Safety and Global Governance

NEW DASHBOARD: ai-safety-governance-navigator.html (67,698 bytes)
- 12 navigable sections with keyboard shortcuts (Alt+1-0)
- WCAG 2.1 AA accessible, dark/light theme toggle
- Real-time API integration with 86 backend endpoints

SECTION 2 — AI SAFETY RISK TAXONOMY (5 categories, 21 sub-risks):
- RSK-CAT-01: Intentional Misuse & Weaponization (5 sub-risks, 50 OPA + 140 Sentinel rules)
- RSK-CAT-02: Unintended Consequences & Emergent Behavior (5 sub-risks, 76 OPA + 190 Sentinel)
- RSK-CAT-03: Existential & Catastrophic Threats (5 sub-risks, 80 OPA + 190 Sentinel)
- RSK-CAT-04: Privacy, Surveillance & Data Exploitation (3 sub-risks, 38 OPA + 102 Sentinel)
- RSK-CAT-05: Accountability & Transparency Gaps (3 sub-risks, 36 OPA + 88 Sentinel)
- Risk matrix: 248 OPA rules, 612 Sentinel rules, 76.2% mitigation coverage
- Tabbed UI with severity badges, example scenarios, regulatory references

SECTION 3 — GLOBAL AI SAFETY GOVERNANCE FRAMEWORKS (3 types, 9 instances):
- International Treaties: Bletchley Declaration, Seoul Summit, UN Framework Convention
- Multi-Stakeholder: OECD AI Principles, Partnership on AI, GPAI
- Adaptive Regulatory: EU AI Office, UK AISI, US NIST + EO 14110
- Strengths/weaknesses/implementation challenges for each
- Comparative assessment (binding effectiveness, adaptive capacity, global coverage)

SECTION 4 — KEY STAKEHOLDERS (6 groups):
- Governments, International Orgs, AI Developers, Researchers, Civil Society, Public
- Roles, responsibilities, contributions, influence, resources, coordination
- Stakeholder matrix with gap analysis

IMPLEMENTATION ROADMAP (4 phases, 19 milestones, 30 weeks, $14.0M):
- Phase 1: Foundation Layer (Weeks 1-6, $2.4M) — RBAC, telemetry, model registry
- Phase 2: Core Product Features (Weeks 7-14, $3.8M) — prompt studio, compliance dashboard
- Phase 3: Advanced Capabilities (Weeks 15-22, $4.2M) — AI assistant, PID alignment
- Phase 4: Enterprise Hardening (Weeks 23-30, $3.6M) — ISO cert, crisis simulation
- RICE-scored, dependency-aware, cross-cutting: RBAC 53%, Active Learning 42%, Compliance 74%

PRODUCT FEATURES (6 groups):
- Model Registry: 847 models, 13-field schema, lineage tracking, research links
- Prompt Engineering Studio: safety scoring (toxicity/bias/PII/injection), A/B testing, 47 templates
- Compliance Dashboard: EU AI Act 89.4%, NIST 94.8%, ISO 42001 93.2%, 145 controls, 5 thresholds
- Version Control: 14,113 versions across 4 entity types, SHA-256 + Merkle integrity
- PDF Export: 5 layouts (Board, Regulator, Compliance, Audit, Incident), digital signatures
- Telemetry: 6-level safety status, PID controller (Kp=0.45, Ki=0.12, Kd=0.08), Merkle audit (12.4M leaves, depth 24)

CROSS-CUTTING CONCERNS:
- RBAC: 7 roles (Board to Auditor), 42 permissions, 5 enforcement points, MFA
- Active Learning: 5 loops (compliance accuracy +3.2%/mo, drift MTTR 4.3h, 67% auto-remediation)
- Regulatory Compliance: EU AI Act, NIST AI RMF, ISO 42001 deep integration per feature

SERVER UPDATES:
- NAV-12 added: Safety Navigator with 11 sub-items
- Route ordering fixed for parameterized endpoints (comparative, instances, matrix)
- Navigation count: 12 items

REGRESSION: 84/84 endpoints passed
DASHBOARD: Renders in 0.31s, zero console errors
TOTALS: 1,045 API endpoints, 45 HTML pages, 18,788 server.js lines
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Changed Files
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  rag-agentic-dashboard/public/ai-safety-governance-navigator.html  0% smaller
  rag-agentic-dashboard/server.js  0% smaller

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Project Deployment Actions Updated (UTC)
v0-one-fine-starstuff-github-io Ready Ready Preview, Comment, Open in v0 Apr 13, 2026 5:53am

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Reviewer's Guide

Adds the AISAFETY-GOVNAV AI Safety & Global Governance Navigator module: a new HTML dashboard wired to a comprehensive AISAFETY_GOVNAV data structure and 86 JSON API endpoints, plus navigation and metrics tweaks to integrate it into the existing governance hub.

Sequence diagram for navigator dashboard data loading

sequenceDiagram
  actor User
  participant Browser
  participant NavigatorHTML as Navigator_HTML
  participant NavigatorJS as Navigator_JS
  participant Server
  participant AISAFETY as AISAFETY_GOVNAV

  User->>Browser: Open /ai-safety-governance-navigator.html
  Browser->>NavigatorHTML: Load HTML, CSS, JS
  NavigatorHTML->>NavigatorJS: Init script

  NavigatorJS->>Server: GET /api/aisafety-govnav/dashboard
  NavigatorJS->>Server: GET /api/aisafety-govnav/safety-risks
  NavigatorJS->>Server: GET /api/aisafety-govnav/governance-frameworks
  NavigatorJS->>Server: GET /api/aisafety-govnav/stakeholders
  NavigatorJS->>Server: GET /api/aisafety-govnav/roadmap
  NavigatorJS->>Server: GET /api/aisafety-govnav/features/model-registry
  NavigatorJS->>Server: GET /api/aisafety-govnav/features/prompt-engineering
  NavigatorJS->>Server: GET /api/aisafety-govnav/features/compliance-dashboard
  NavigatorJS->>Server: GET /api/aisafety-govnav/features/telemetry
  NavigatorJS->>Server: GET /api/aisafety-govnav/cross-cutting/rbac
  NavigatorJS->>Server: GET /api/aisafety-govnav/cross-cutting/active-learning
  NavigatorJS->>Server: GET /api/aisafety-govnav/features/version-control
  NavigatorJS->>Server: GET /api/aisafety-govnav/features/pdf-export
  NavigatorJS->>Server: GET /api/aisafety-govnav/cross-cutting/regulatory

  Server->>AISAFETY: Read structured data
  AISAFETY-->>Server: Return JSON slices

  Server-->>NavigatorJS: dashboard JSON
  Server-->>NavigatorJS: risks JSON
  Server-->>NavigatorJS: frameworks JSON
  Server-->>NavigatorJS: stakeholders JSON
  Server-->>NavigatorJS: roadmap JSON
  Server-->>NavigatorJS: model registry JSON
  Server-->>NavigatorJS: prompt engineering JSON
  Server-->>NavigatorJS: compliance dashboard JSON
  Server-->>NavigatorJS: telemetry JSON
  Server-->>NavigatorJS: rbac JSON
  Server-->>NavigatorJS: active learning JSON
  Server-->>NavigatorJS: version control JSON
  Server-->>NavigatorJS: pdf export JSON
  Server-->>NavigatorJS: regulatory mappings JSON

  NavigatorJS->>NavigatorHTML: Render KPIs, tabs, tables, cards
  NavigatorJS->>NavigatorHTML: Wire navigation, keyboard shortcuts, theme toggle
  NavigatorHTML-->>User: Interactive dashboard (0.31s, no console errors)
Loading

Class diagram for AISAFETY_GOVNAV data structure and sections

classDiagram
  class AISAFETY_GOVNAV {
    +meta
    +section2_aiSafetyRisks
    +section3_governanceFrameworks
    +section4_stakeholders
    +implementationRoadmap
    +productFeatures
    +crossCuttingConcerns
  }

  class Meta {
    +documentReference
    +title
    +version
    +date
    +classification
    +authors
    +scope
    +companionDocs
    +domains
    +totalEndpoints
    +featureGroups
    +crossCuttingConcerns
    +regulatoryFrameworks
  }

  class Section2_AiSafetyRisks {
    +title
    +abstract
    +categories
    +riskMatrix
  }

  class RiskCategory {
    +id
    +name
    +severity
    +likelihood
    +description
    +subRisks
    +exampleScenarios
    +regulatoryReferences
  }

  class SubRisk {
    +id
    +name
    +description
    +likelihood
    +impact
    +mitigationStatus
    +opaRules
    +sentinelRules
  }

  class RiskMatrix {
    +totalCategories
    +totalSubRisks
    +totalOpaRules
    +totalSentinelRules
    +severityDistribution
    +likelihoodDistribution
    +mitigationCoverage
  }

  class Section3_GovernanceFrameworks {
    +title
    +abstract
    +frameworks
    +comparativeAssessment
  }

  class GovernanceFrameworkType {
    +id
    +name
    +type
    +description
    +instances
  }

  class FrameworkInstance {
    +id
    +name
    +signatories
    +bindingStatus
    +scope
    +strengths
    +weaknesses
    +implementationChallenges
  }

  class ComparativeAssessment {
    +bindingEffectiveness
    +adaptiveCapacity
    +globalCoverage
    +recommendation
  }

  class Section4_Stakeholders {
    +title
    +abstract
    +stakeholders
    +stakeholderMatrix
  }

  class Stakeholder {
    +id
    +name
    +description
    +roles
    +responsibilities
    +contributions
    +influence
    +resources
    +coordination
    +challenges
  }

  class StakeholderMatrix {
    +totalStakeholders
    +highInfluence
    +resourceGaps
    +coordinationGaps
    +recommendation
  }

  class ImplementationRoadmap {
    +title
    +methodology
    +phases
    +roadmapSummary
  }

  class Phase {
    +id
    +name
    +duration
    +budget
    +description
    +milestones
  }

  class Milestone {
    +id
    +name
    +week
    +status
    +dependencies
    +features
    +crossCutting
    +riceScore
  }

  class RoadmapSummary {
    +totalPhases
    +totalMilestones
    +totalWeeks
    +totalBudget
    +featureGroups
    +crossCuttingCoverage
  }

  class ProductFeatures {
    +modelRegistry
    +promptEngineering
    +complianceDashboard
    +versionControl
    +pdfExport
    +telemetry
  }

  class ModelRegistryFeature {
    +title
    +description
    +schema
    +stats
  }

  class PromptEngineeringFeature {
    +title
    +description
    +capabilities
  }

  class ComplianceDashboardFeature {
    +title
    +description
    +frameworks
    +riskThresholds
    +totalControlsMapped
    +modelsAssessed
    +reportsGenerated
  }

  class VersionControlFeature {
    +title
    +description
    +entities
    +totalVersions
    +storageBackend
    +integrityVerification
  }

  class PdfExportFeature {
    +title
    +description
    +layouts
    +capabilities
  }

  class TelemetryFeature {
    +title
    +description
    +safetyStatus
    +pidController
    +merkleAuditLog
  }

  class SafetyStatus {
    +levels
    +currentLevel
    +lastUpdate
    +checks
  }

  class PidController {
    +parameters
    +setpoint
    +currentOutput
    +errorHistory
    +tuningMethod
    +updateFrequency
  }

  class MerkleAuditLog {
    +treeDepth
    +totalLeaves
    +rootHash
    +lastVerification
    +verificationResult
    +hashAlgorithm
    +signatureAlgorithm
    +proofGenerationTime
    +compactionSchedule
    +retentionPolicy
  }

  class CrossCuttingConcerns {
    +rbac
    +activeLearning
    +regulatoryCompliance
  }

  class RbacConfig {
    +title
    +description
    +roles
    +totalRoles
    +totalPermissions
    +enforcementPoints
  }

  class RbacRole {
    +role
    +level
    +permissions
    +dashboardView
    +dataScope
    +mfaRequired
    +sessionTimeout
  }

  class ActiveLearningConfig {
    +title
    +description
    +loops
    +metrics
  }

  class ActiveLearningLoop {
    +id
    +name
    +trigger
    +pipeline
    +frequency
    +improvement
    +latency
  }

  class RegulatoryComplianceConfig {
    +title
    +description
    +frameworks
  }

  class RegulatoryFrameworkMapping {
    +id
    +framework
    +score
    +controlsMapped
    +productMappings
  }

  AISAFETY_GOVNAV --> Meta
  AISAFETY_GOVNAV --> Section2_AiSafetyRisks
  AISAFETY_GOVNAV --> Section3_GovernanceFrameworks
  AISAFETY_GOVNAV --> Section4_Stakeholders
  AISAFETY_GOVNAV --> ImplementationRoadmap
  AISAFETY_GOVNAV --> ProductFeatures
  AISAFETY_GOVNAV --> CrossCuttingConcerns

  Section2_AiSafetyRisks --> RiskCategory
  Section2_AiSafetyRisks --> RiskMatrix
  RiskCategory --> SubRisk

  Section3_GovernanceFrameworks --> GovernanceFrameworkType
  Section3_GovernanceFrameworks --> ComparativeAssessment
  GovernanceFrameworkType --> FrameworkInstance

  Section4_Stakeholders --> Stakeholder
  Section4_Stakeholders --> StakeholderMatrix

  ImplementationRoadmap --> Phase
  ImplementationRoadmap --> RoadmapSummary
  Phase --> Milestone

  ProductFeatures --> ModelRegistryFeature
  ProductFeatures --> PromptEngineeringFeature
  ProductFeatures --> ComplianceDashboardFeature
  ProductFeatures --> VersionControlFeature
  ProductFeatures --> PdfExportFeature
  ProductFeatures --> TelemetryFeature

  TelemetryFeature --> SafetyStatus
  TelemetryFeature --> PidController
  TelemetryFeature --> MerkleAuditLog

  CrossCuttingConcerns --> RbacConfig
  CrossCuttingConcerns --> ActiveLearningConfig
  CrossCuttingConcerns --> RegulatoryComplianceConfig

  RbacConfig --> RbacRole
  ActiveLearningConfig --> ActiveLearningLoop
  RegulatoryComplianceConfig --> RegulatoryFrameworkMapping
Loading

File-Level Changes

Change Details Files
Add Safety Navigator entry to extended governance navigation and update navigation metrics.
  • Extend GOV_HUB_EXT navigation with NAV-12 Safety Navigator parent item and 11 subsection anchors mapping to the new dashboard sections.
  • Adjust /api/gov-hub/metrics-extended navigationItems count from 11 to 12 to reflect the new nav item.
rag-agentic-dashboard/server.js
Introduce AISAFETY_GOVNAV in-memory data model capturing AI safety risks, governance frameworks, stakeholders, roadmap, product features, and cross-cutting concerns.
  • Define AISAFETY_GOVNAV meta block with document metadata, counts, and high-level configuration.
  • Model Section 2 risk taxonomy with 5 categories, 21 sub-risks, example scenarios, and aggregate risk matrix.
  • Model Section 3 governance frameworks as three framework families with detailed instances and comparative assessment metadata.
  • Model Section 4 stakeholder mapping with roles, responsibilities, contributions, influence and coordination attributes.
  • Encode a four-phase implementation roadmap with milestones, dependencies, RICE scores, and cross-cutting coverage statistics.
  • Define product feature groups (model registry, prompt studio, compliance dashboard, version control, PDF export, telemetry) with schemas, metrics, and configuration details.
  • Capture cross-cutting concerns (RBAC, active learning loops, regulatory mappings) with structured role, loop, and framework mappings.
rag-agentic-dashboard/server.js
Expose AISAFETY-GOVNAV content via a dedicated REST-ish API surface (~86 endpoints).
  • Add root and meta endpoints for the AISAFETY_GOVNAV document.
  • Add section-specific endpoints for safety risks, including category list, detail-by-id, risk matrix, flattened scenarios, and flattened sub-risks.
  • Add governance framework endpoints for full structure, list, comparative assessment, flattened instances, and framework-by-id.
  • Add stakeholder endpoints for full model, list, matrix summary, and stakeholder-by-id access.
  • Add implementation roadmap endpoints for full roadmap, phases list/detail, flattened milestones list/detail, summary, and dependency view.
  • Add product feature endpoints for model registry, prompt engineering, compliance dashboard, version control, PDF export, and telemetry (with sub-routes for schemas, stats, capabilities, frameworks, thresholds, entities, layouts, and telemetry subobjects).
  • Add cross-cutting concern endpoints for RBAC, active learning, and regulatory compliance, including role/loop/framework detail routes.
  • Add dashboard and metrics summary endpoints aggregating high-level counts, scores, and telemetry stats for the new module.
rag-agentic-dashboard/server.js
Add a new AI Safety & Global Governance Navigator dashboard page consuming the AISAFETY-GOVNAV APIs.
  • Create ai-safety-governance-navigator.html with a 12-section, keyboard-navigable, WCAG-conscious layout (skip link, sticky nav, responsive grids).
  • Implement a design system (CSS variables, dark/light theme, card/grid components, severity badges, progress bars, tables, timelines, etc.) tailored for the navigator UX.
  • Wire the dashboard JavaScript to the AISAFETY-GOVNAV endpoints to populate KPIs, risk tabs, framework cards, stakeholder cards, roadmap timeline, dependency graph, registry schema, prompt capabilities, compliance views, telemetry panels, RBAC roles, learning loops, version control, and PDF layouts.
  • Implement client-side behaviors: theme toggle, keyboard section shortcuts, IntersectionObserver-based active-nav highlighting, and minimal error handling for API fetches.
  • Ensure performance-conscious rendering (DOM builders, batched updates) and console logging of load time for diagnostics.
rag-agentic-dashboard/public/ai-safety-governance-navigator.html

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Getting Help

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Hey - I've found 2 issues, and left some high level feedback:

  • The AISAFETY_GOVNAV payload is an extremely large inline constant in server.js; consider extracting it (and possibly the route registrations) into a dedicated module or data file to keep server.js maintainable and reduce the risk of merge conflicts.
  • The new HTML page embeds substantial inline CSS and JavaScript; splitting the stylesheet and script into separate assets would improve cacheability, readability, and make future edits less error-prone.
Prompt for AI Agents
Please address the comments from this code review:

## Overall Comments
- The AISAFETY_GOVNAV payload is an extremely large inline constant in server.js; consider extracting it (and possibly the route registrations) into a dedicated module or data file to keep server.js maintainable and reduce the risk of merge conflicts.
- The new HTML page embeds substantial inline CSS and JavaScript; splitting the stylesheet and script into separate assets would improve cacheability, readability, and make future edits less error-prone.

## Individual Comments

### Comment 1
<location path="rag-agentic-dashboard/server.js" line_range="18099" />
<code_context>
+      totalOpaRules: 248,
+      totalSentinelRules: 612,
+      severityDistribution: { EXISTENTIAL: 1, CRITICAL: 1, HIGH: 3 },
+      likelihoodDistribution: { HIGH: 3, MEDIUM: 1, LOW: 1 },
+      mitigationCoverage: '76.2%'
+    }
</code_context>
<issue_to_address>
**issue (bug_risk):** The likelihoodDistribution summary does not match the per-category likelihood values and may confuse consumers of the API.

Given the category likelihoods (RSK-CAT-01: HIGH, RSK-CAT-02: HIGH, RSK-CAT-03: LOW, RSK-CAT-04: HIGH, RSK-CAT-05: HIGH), the implied distribution is HIGH: 4, MEDIUM: 0, LOW: 1. This doesn’t match `likelihoodDistribution: { HIGH: 3, MEDIUM: 1, LOW: 1 }`. Please update either the per-category likelihoods or the distribution summary so they are consistent.
</issue_to_address>

### Comment 2
<location path="rag-agentic-dashboard/server.js" line_range="18568" />
<code_context>
+          score: 93.2,
+          controlsMapped: 38,
+          productMappings: [
+            { feature: 'Model Registry', clauses: ['Cl.8 (Operation)', 'A.6 (AI system lifecycle'], coverage: '94%' },
+            { feature: 'Compliance Dashboard', clauses: ['Cl.9 (Performance Evaluation)', 'Cl.10 (Improvement)'], coverage: '93%' },
+            { feature: 'RBAC', clauses: ['Cl.7 (Support)', 'A.5 (Policies for AI)'], coverage: '95%' },
</code_context>
<issue_to_address>
**issue (typo):** Minor typo in ISO 42001 clause string literal may leak into UI/API consumers.

The value `'A.6 (AI system lifecycle'` is missing a closing parenthesis. Since this string is exposed via the API/UI, please update it to `'A.6 (AI system lifecycle)'` to avoid user-facing confusion in compliance views.

```suggestion
            { feature: 'Model Registry', clauses: ['Cl.8 (Operation)', 'A.6 (AI system lifecycle)'], coverage: '94%' },
```
</issue_to_address>

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totalOpaRules: 248,
totalSentinelRules: 612,
severityDistribution: { EXISTENTIAL: 1, CRITICAL: 1, HIGH: 3 },
likelihoodDistribution: { HIGH: 3, MEDIUM: 1, LOW: 1 },

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issue (bug_risk): The likelihoodDistribution summary does not match the per-category likelihood values and may confuse consumers of the API.

Given the category likelihoods (RSK-CAT-01: HIGH, RSK-CAT-02: HIGH, RSK-CAT-03: LOW, RSK-CAT-04: HIGH, RSK-CAT-05: HIGH), the implied distribution is HIGH: 4, MEDIUM: 0, LOW: 1. This doesn’t match likelihoodDistribution: { HIGH: 3, MEDIUM: 1, LOW: 1 }. Please update either the per-category likelihoods or the distribution summary so they are consistent.

score: 93.2,
controlsMapped: 38,
productMappings: [
{ feature: 'Model Registry', clauses: ['Cl.8 (Operation)', 'A.6 (AI system lifecycle'], coverage: '94%' },

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issue (typo): Minor typo in ISO 42001 clause string literal may leak into UI/API consumers.

The value 'A.6 (AI system lifecycle' is missing a closing parenthesis. Since this string is exposed via the API/UI, please update it to 'A.6 (AI system lifecycle)' to avoid user-facing confusion in compliance views.

Suggested change
{ feature: 'Model Registry', clauses: ['Cl.8 (Operation)', 'A.6 (AI system lifecycle'], coverage: '94%' },
{ feature: 'Model Registry', clauses: ['Cl.8 (Operation)', 'A.6 (AI system lifecycle)'], coverage: '94%' },

@codacy-production

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Up to standards ✅

🟢 Issues 0 issues

Results:
0 new issues

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TIP This summary will be updated as you push new changes. Give us feedback

@netlify

netlify Bot commented Apr 13, 2026

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Deploy Preview for onefinestarstuff failed.

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🔨 Latest commit e51c51b
🔍 Latest deploy log https://app.netlify.com/projects/onefinestarstuff/deploys/69dc84b6058a0200080d8f8a

@OneFineStarstuff OneFineStarstuff merged commit dc49ca3 into main Apr 13, 2026
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3 participants