feat: AI Governance Platform <> AuditorSEC Integration Bridge

[romanchaa997]

Summary

Comprehensive integration bridge between the Audityzer security platform and the AI Governance Evolution Platform (AIGEP) — a Ukrainian government digital transformation system analyzed across 14 architecture PDFs.

What's included

• 6 audit trail sources connected via AuditTrailConsumer:
  Blockchain (Trust Mechanisms), Communication (Secure Comms), Observer activity log (L1–L4), Transparency Engine access log, Kubernetes events (gov-platform namespace), Prometheus metrics (ports 8000–8002)

• 8 compliance standards monitored via ComplianceMonitor:
  GDPR (consent, retention, erasure, 72h breach SLA), NATO STANAGs (L1–L4 classification), FIPS 140-2 (AES-256-GCM, RSA-4096, CRYSTALS-Kyber, CRYSTALS-Dilithium), ISO 27001 (A.9, A.10, A.12, A.13, A.15), Blockchain (smart contract enforcement, chain integrity, multi-sig), WCAG 2.1 AA

• 11 threat detection hooks via ThreatDetector:
  Observer session anomalies, data exfiltration via blockchain, SQL injection on PostgreSQL 5432, API abuse/rate limiting, K8s privilege escalation, smart contract exploitation, credential compromise, exposed simulation ports 8000–8004 (no auth — highest priority), communication interception/TLS downgrade, insider threat behavioral analysis, blockchain Merkle tree manipulation

• 8 new SARIF 2.1.0 rules via aiGovSarif.ts:

  Rule ID	Finding	Severity
  AIGOV_AUTH_001	Unauthenticated simulation endpoints	9.5
  AIGOV_GDPR_001	Neural data without Article 9 framework	9.0
  AIGOV_K8S_001	Kubernetes RBAC misconfiguration	8.5
  AIGOV_CRYPTO_001	Post-quantum crypto incomplete	7.5
  AIGOV_BLOCKCHAIN_001	Smart contract vulnerability	8.0
  AIGOV_OBSERVER_001	Observer privilege escalation	9.0
  AIGOV_DATA_001	PostgreSQL credentials exposure	7.0
  AIGOV_PORT_001	Port conflict simulation vs analytics	6.5

• Railway deployment config (railway.json): NIXPACKS builder, healthcheck at /api/health, auto-restart on failure

• Prisma schema (prisma/schema.prisma): AuditTrailEvent, ComplianceCheck, PlatformHealthCheck models with indexed queries

Architecture references

All findings map to risk flags from the architecture analysis:

• Section 12.2: No documented authentication on simulation service endpoints (ports 8000–8004)
• Section 12.3: GDPR Article 9 framework absent for BCI/neural data
• Section 12.1: Port conflicts between simulation and analytics systems
• Section 12.2: Hardcoded PostgreSQL credentials and contact emails in runbook
• Section 11: AuditorSEC integration points (audit trails, compliance, threat detection, SARIF)

New files

File	Purpose
src/integrations/aiGovBridge.ts	Main integration bridge — health, audit, security, compliance, SARIF
src/integrations/complianceMonitor.ts	6-standard compliance checker
src/integrations/threatDetector.ts	11 threat vector detector
src/integrations/auditTrailConsumer.ts	6-source audit trail consumer
src/integrations/index.ts	Barrel export
src/sarif/aiGovSarif.ts	8 SARIF rules + report generator
prisma/schema.prisma	Database models
railway.json	Railway deployment config

Test plan

• Verify TypeScript compilation: npx tsc --noEmit
• Verify SARIF output conforms to SARIF 2.1.0 schema
• Test ComplianceMonitor.runFullCheck() against mock API responses
• Test ThreatDetector detection methods with simulated anomaly data
• Test AuditTrailConsumer event normalization across all 6 sources
• Validate Prisma schema: npx prisma validate
• Verify Railway deployment config with railway up --dry-run

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