Change Management
Operational controls for change management — with maturity levels, evidence requirements, and implementation guidance.
5 controls
AI Model Version Control
Track model versions, configurations, prompts, and deployment history so that any production state can be reproduced and compared.
Model Deployment Gate Process
Require formal approval before new model versions, prompt changes, or configuration updates are deployed to production AI systems.
Model Rollback and Emergency Shutdown
Maintain tested procedures to rapidly revert an AI system to a prior version or disable it entirely in response to detected failures or safety events.
AI Model Change Documentation
Record what changed between model versions, why the change was made, what testing was performed, and who approved the deployment.
Model Deprecation Procedure
Define the process for retiring AI models from production, including notification, data handling, audit trail preservation, and transition planning.