Model Governance
The policies, processes, and controls for managing the lifecycle of AI models from development through deployment, monitoring, and retirement.
Definition
The policies, processes, and controls for managing the lifecycle of AI models from development through deployment, monitoring, and retirement.
Why It Matters for AI Governance
Model governance ensures that AI models are developed responsibly, deployed with appropriate controls, monitored for drift and bias, and retired when they no longer meet governance standards.
How CrewCheck Handles This
CrewCheck's LLM gateway applies model governance-related controls at the request boundary. Every AI call passes through detection, policy evaluation, and audit logging — ensuring that model governance is addressed consistently across all teams and providers.
The governance dashboard provides real-time visibility into model governance events, with drill-down capabilities for compliance officers and exportable evidence for auditors.