Runtime Drift
Detect behavior changes after prompt, model, tool, policy, or data-source updates.
RUNTIME MONITORING
Certification is only the starting point. AI Agent Certify monitors deployed agents for drift, unsafe outputs, risky tool use, policy violations, and trust-state changes after production release.
POST-DEPLOYMENT TRUST
Prompt templates change, new tools are added, model versions update, and data sources expand. Runtime monitoring keeps the agent trust state current when production behavior changes.
RUNTIME TRUST CONSOLE
MONITORED SIGNALS
Monitoring turns production behavior into evidence that governance, security, and AI platform teams can act on.
Detect behavior changes after prompt, model, tool, policy, or data-source updates.
Flag outputs that violate policy, escalate risk, or require human review before use.
Monitor high-risk tool calls, blocked actions, anomalous approvals, and unsafe delegation attempts.
Capture violations against certified scope, data boundaries, role permissions, and prohibited behaviors.
Move a Trusted Agent Passport to review, suspended, or revoked when trust criteria fail.
Route alerts to AI platform, security, governance, and risk teams with evidence attached.
RUNTIME MONITORING
TIMELINE EXAMPLE
A runtime event can move from detection to blocked action, passport review, and required re-certification when the agent behavior no longer matches certified scope.
Example flow: prompt template changed, new tool permission added, drift signal detected, high-risk tool call blocked, Passport moved to review, and re-certification required.
ENTERPRISE AI ASSURANCE
See how runtime drift detection, policy violation events, escalation workflows, and Passport suspension controls work together.