An artificial intelligence agent behavioral tripwire watches activity across individual actions to find a larger abnormal pattern. It can detect sudden write volume, repeated failures, unexpected target spread or behavior that differs from a run's normal profile.
Tripwires complement per-action checks because each individual operation may appear valid while the aggregate is dangerous. Thresholds should be tuned with real data and connected to a defined response such as alerting, throttling or halting.
