Governance
AxonFlow provides comprehensive governance capabilities that enable organizations to observe, audit, and maintain oversight of all AI agent interactions. These features work automatically with zero configuration required.
Why Governance Matters
Production AI deployments require:
- Audit Trails: Complete records of what AI agents did, when, and why
- Code Oversight: Visibility into LLM-generated code before it enters your systems
- Compliance Evidence: Documentation for regulatory requirements (EU AI Act, SEBI, RBI)
- Debugging: Ability to trace issues back to specific requests and responses
AxonFlow captures this data automatically for every AI interaction.
Governance Capabilities
Audit Logging
Every request and response flowing through AxonFlow is logged with:
- Complete request/response payloads
- Policy evaluation decisions
- PII detection results
- Token usage and latency metrics
- User and tenant context
Learn more about Audit Logging →
Code Governance
When LLMs generate code, AxonFlow automatically:
- Detects code blocks in responses (14 languages supported)
- Identifies programming language and code type
- Counts potential secrets and unsafe patterns
- Logs metadata for compliance audits
Learn more about Code Governance →
Community vs Enterprise
| Capability | Community | Enterprise |
|---|---|---|
| Request/response audit logging | ✅ | ✅ |
| Policy decision logging | ✅ | ✅ |
| Code detection and classification | ✅ | ✅ |
| Secrets/unsafe pattern counting | ✅ | ✅ |
| PostgreSQL audit storage | ✅ | ✅ |
| Long-term audit retention | ❌ | ✅ |
| Audit export API | ❌ | ✅ |
| Git PR integration for code | ❌ | ✅ |
| Compliance reports | ❌ | ✅ |
| Customer Portal dashboards | ❌ | ✅ |
Next Steps
- Audit Logging - Deep dive into request/response logging
- Code Governance - Understanding code detection and analysis
- Policy-as-Code - Define governance rules
- Compliance - Regulatory framework support