Exercise patterns that expose weaknesses in AI-era detection, response, and governance workflows.
AI-related incidents can move faster than traditional playbooks because automation amplifies scope.
Simulate high-impact scenarios
Model prompt injection, output manipulation, and sensitive data leakage events.
Include cross-functional decision points
Security, legal, compliance, product, and executive teams need synchronized response rules.
Measure response performance
Track triage speed, containment quality, and escalation timing for each scenario.
Feed outcomes into architecture
Incident exercise learnings should directly shape control priorities and policy updates.
Pressure-Test Readiness