BasicAgent
AI Controls
Practical AI controls for governance: approvals, monitoring, audit logs, and evaluation gates.
AI controls are the specific guardrails that keep AI systems safe and compliant.
Core control categories
- Access and data: who can use or change a system
- Change management: approvals and rollback paths
- Monitoring: drift, quality, cost, and latency
- Evidence: audit logs and decision records
Minimal control set for production
- system inventory and owner
- prompt/model versioning
- audit logging for every run
- evaluation gates before release
Related pages
- AI governance framework:
/ai-governance-framework/ - AI model tracking:
/ai-model-tracking/ - LLM observability:
/llm-observability-agent-workflows/