Play 35
AI Compliance Engine
High✅ Ready
Automated regulatory compliance — GDPR data mapping, HIPAA audit trails, SOC 2, EU AI Act.
Automated regulatory compliance engine covering GDPR data mapping, HIPAA audit trails, SOC 2 evidence collection, and EU AI Act risk assessment. Azure OpenAI powers intelligent document analysis and compliance gap detection. Azure Policy enforces infrastructure compliance, Key Vault secures sensitive credentials, and Cosmos DB maintains immutable audit trails. Continuous monitoring detects drift from compliance baselines and triggers remediation workflows.
Architecture Pattern
Compliance automation: policy enforcement, audit trails, gap detection, risk assessment
Azure Services
Azure OpenAI (gpt-4o)Azure PolicyKey VaultAzure MonitorCosmos DB
DevKit (.github Agentic OS)
- agent.md — root orchestrator with builder→reviewer→tuner handoffs
- 3 agents — Compliance Builder (gpt-4o), Reviewer (gpt-4o-mini), Tuner (gpt-4o-mini)
- 3 skills — deploy (100 lines), evaluate (105 lines), tune (105 lines)
- 4 prompts — /deploy, /test, /review, /evaluate with agent routing
- .vscode/mcp.json — FrootAI MCP with Azure Policy + OpenAI key inputs + envFile
TuneKit (AI Config)
- config/openai.json — compliance document analysis prompts
- config/compliance.json — framework rules (GDPR, HIPAA, SOC2, EU AI Act)
- config/guardrails.json — audit retention, immutability
- evaluation/eval.py — Gap detection >90%, False positive <10%
Tuning Parameters
Compliance frameworksAudit schedulesRisk thresholdsEvidence retention policiesDrift detection sensitivity
Estimated Cost
Dev/Test
$100–250/mo
Production
$1.5K–5K/mo