The structured process for detecting, containing, investigating, and recovering from AI agent failures or security incidents.
AI incident response is what you do when things go wrong. An agent sends incorrect information. A prompt injection attack succeeds. The agent takes an unauthorized action. Incident response provides a structured playbook for handling these situations.
The process follows four stages: detection (something went wrong), containment (stop the bleeding — kill switch or suspension), investigation (what happened and why — audit trail analysis), and recovery (fix the root cause and resume).
For AI agents, incident response is different from traditional software incidents. Agent failures may be subtle — the agent is "working" but giving bad answers. Detection requires monitoring output quality, not just uptime.
Every AI deployment will eventually have an incident. The difference between a minor hiccup and a major crisis is how fast and effectively you respond. Prepared teams recover in hours. Unprepared teams recover in days.
Clawctl provides all four stages: detection (health checks and monitoring), containment (kill switch and agent suspension), investigation (audit trail with full-text search), and recovery (auto-recovery pipeline and one-click redeploy).
Try Clawctl — 60 Second DeployUnauthorized actions, incorrect information given to users, data exfiltration attempts, agent downtime, and prompt injection attacks.
Use the Clawctl kill switch for immediate suspension. Then investigate using the audit trail.
Yes. Document roles, communication procedures, and escalation paths before an incident happens.
Kill Switch
An emergency mechanism that immediately stops an AI agent from taking any further actions when triggered by an operator.
Agent Suspension
Temporarily disabling an AI agent so it stops processing messages and executing actions, without destroying its configuration or data.
Audit Trail
A chronological record of every action an AI agent takes, providing accountability, compliance evidence, and forensic capability.
Agent Recovery
Automated detection and correction of agent failures — including container crashes, health check failures, and degraded performance.