What is Incident Response (Agent)?
The process of detecting, investigating, and recovering from security incidents involving AI agents — including policy violations, data breaches, prompt injection exploitation, agent compromise, and unintended harmful actions via MCP tools.
WHY IT MATTERS
Every security programme needs an incident response plan, and AI agent deployments are no exception. The difference is that agent incidents have unique characteristics that traditional incident response playbooks do not cover. An agent compromised by prompt injection looks different from a compromised server. A data breach through tool arguments leaves different forensic traces than one through a network exfiltration channel.
Agent incident detection relies on different signals. Policy violations logged by the enforcement layer — denied tool calls, blocked arguments, rate limit triggers — are early indicators. Anomalous tool usage patterns — an agent suddenly invoking tools it rarely uses, or passing arguments outside normal ranges — suggest compromise or drift. Missing expected tool calls — an agent that stops calling required tools — may indicate manipulation.
Investigation requires the audit trail. When an incident is detected, the response team needs to reconstruct what the agent did: which tools it called, with what arguments, in what sequence, and what responses it received. Without comprehensive logging, this reconstruction is impossible. With it, the team can determine the root cause, assess the impact, and identify what data or systems were affected.
Recovery involves immediate containment (revoking agent access), root cause analysis (how was the agent compromised?), impact assessment (what damage was done?), and remediation (strengthening policies to prevent recurrence). The playbook should be documented and rehearsed before an incident occurs — not developed during one.
HOW POLICYLAYER USES THIS
PolicyLayer's audit trail is the primary forensic data source for agent incident response. Every tool call, every argument, every policy decision, and every deny action is logged with timestamps and context. When an incident occurs, the response team can reconstruct the complete sequence of agent actions through PolicyLayer's logs. For containment, switching the affected grant's policy to deny by default in the dashboard provides immediate agent isolation without shutting down infrastructure. Saved policies take effect at the gateway in seconds, not minutes.