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
- Cost Control: Budget limits and spending alerts for LLM usage
- Compliance Evidence: Documentation for regulatory requirements (EU AI Act, SEBI, RBI)
- Human Oversight: Ability to require human approval for high-risk AI decisions (HITL workflows)
- Debugging: Ability to trace issues back to specific requests and responses
AxonFlow captures this data automatically for every AI interaction.
Policy Pre-Check in Action
Every request through AxonFlow is evaluated against your policies before reaching the LLM. Here is what a policy-enforced request looks like:
curl -X POST http://localhost:8080/api/v1/query/execute \
-H "Content-Type: application/json" \
-H "X-Client-Id: my-tenant" \
-H "X-Client-Secret: your-client-secret" \
-d '{
"query": "What is the company revenue forecast?",
"provider": "openai",
"model": "gpt-4o"
}'
Response with policy enforcement details:
{
"response": "Based on the available data...",
"policy_info": {
"allowed": true,
"applied_policies": ["pii-global-email", "dynamic-risk-score"],
"risk_score": 0.15,
"pii_detected": false,
"evaluation_time_ms": 3
},
"token_usage": {
"prompt_tokens": 24,
"completion_tokens": 156,
"total_tokens": 180
}
}
The policy_info block is included in every response, giving full visibility into which policies were evaluated, whether any PII was detected, and the computed risk score.
Governance Capabilities
Audit Logging
Complete, immutable records of every AI interaction flowing through your system. Every request and response is logged with full payloads, policy evaluation decisions, PII detection results, token usage, latency metrics, and user/tenant context. This provides the evidence trail required for regulatory audits and incident investigation.
Learn more about Audit Logging →
Code Governance
Automatic detection and analysis of LLM-generated code before it enters your systems. AxonFlow scans responses for code blocks across 14 programming languages, identifies potential secrets and unsafe patterns, and logs metadata for compliance audits. This prevents generated code from introducing vulnerabilities or leaking credentials.
Learn more about Code Governance →
Cost Management
Budget enforcement and spending visibility at every level of your organization. Set spending limits at organization, team, agent, or workflow level. Receive alerts when budgets reach configured thresholds. Requests can be blocked or downgraded when limits are exceeded, with usage tracked by provider, model, or cost center.
Learn more about Cost Management →
Human-in-the-Loop (HITL)
For high-risk AI decisions, AxonFlow supports Human-in-the-Loop workflows where requests are paused and queued for human review before proceeding. This is essential for EU AI Act Article 14 compliance and any scenario where automated AI decisions carry significant business or safety risk.
Learn more about HITL Workflows →
Community vs Enterprise
| Capability | Community | Enterprise |
|---|---|---|
| Request/response audit logging | ✅ | ✅ |
| Policy decision logging | ✅ | ✅ |
| Code detection and classification | ✅ | ✅ |
| Secrets/unsafe pattern counting | ✅ | ✅ |
| Budget limits and alerts | ✅ | ✅ |
| Usage tracking and breakdown | ✅ | ✅ |
| PostgreSQL audit storage | ✅ | ✅ |
| HITL workflows (human approval gates) | ❌ | ✅ |
| Long-term audit retention | ❌ | ✅ |
| Audit export API | ❌ | ✅ |
| Git PR integration for code | ❌ | ✅ |
| Usage forecast and export | ❌ | ✅ |
| Alert channels (Slack, email, webhook) | ❌ | ✅ |
| Compliance reports (EU AI Act, SEBI, RBI) | ❌ | ✅ |
| Customer Portal dashboards | ❌ | ✅ |
Enterprise adds long-term audit retention, compliance reporting, HITL approval workflows, and Customer Portal dashboards. Compare Editions | Request Demo | AWS Marketplace
Next Steps
- Audit Logging - Deep dive into request/response logging
- Code Governance - Understanding code detection and analysis
- Cost Management - Budget limits and usage tracking
- HITL Workflows - Human-in-the-loop approval gates
- Policy-as-Code - Define governance rules
- Compliance - Regulatory framework support