Continuous governance
AI governance monitoring
Governance does not end at approval. Monitoring determines whether the facts, controls, evidence, and assumptions behind a decision remain valid.
Monitoring lifecycle
Approved → Monitor → Material Change → Reopen affected assurance → Reassess → New Decision.
- Create monitoring plans and scheduled checks.
- Review runtime signals, thresholds, and breaches where configured.
- Record material changes and analyze impact on the AI System and its governance state.
What can trigger reassessment
- Changed purpose, users, autonomy, data, deployment, or jurisdiction.
- Control failure, monitoring breach, incident, or significant performance drift.
- Material vendor or model change.
- Regulatory update or approval expiry.