Drift Detection
Monitoring AI model performance over time to detect when model behavior changes due to shifts in input data distribution or model degradation.
Definition
Monitoring AI model performance over time to detect when model behavior changes due to shifts in input data distribution or model degradation.
Why It Matters for AI Governance
Model drift can cause governance controls to become less effective over time. PII detection accuracy may degrade as language patterns change, and policy rules may need updating as regulations evolve.
How CrewCheck Handles This
CrewCheck's LLM gateway applies drift detection-related controls at the request boundary. Every AI call passes through detection, policy evaluation, and audit logging — ensuring that drift detection is addressed consistently across all teams and providers.
The governance dashboard provides real-time visibility into drift detection events, with drill-down capabilities for compliance officers and exportable evidence for auditors.