> For the complete documentation index, see [llms.txt](https://help.nightfall.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.nightfall.ai/data-exfiltration-prevention/ai-agent-security/ai-governance/auditability-and-control/investigating-ai-agent-security-incidents.md).

# Investigating AI Agent Security Incidents

All AI agent violations appear in the unified Incidents > Exfiltration Prevention view - there is no separate incident queue. This page explains how to identify, review, and respond to AI agent incidents.

***

### Finding AI Agent Incidents

Navigate to Incidents > Exfiltration Prevention. AI agent incidents are identified by the **AI Agent Hooks**, **AI Agent Telemetry**, and **Claude Inference Hook** event labels in the incident list.

#### Incident List Columns

| Column      | Content                                                                                                                                      |
| ----------- | -------------------------------------------------------------------------------------------------------------------------------------------- |
| Event Label | "AI Agent Hooks" for device hooks, "AI Agent Telemetry" for OpenTelemetry, and "Claude Inference Hook" for Claude Enterprise Inference Hooks |
| When        | Relative time (e.g., "2 hours ago")                                                                                                          |
| Actor       | Signed-in user email or machine name and device ID                                                                                           |
| Policy      | Policy name that triggered the violation                                                                                                     |
| Status      | Active, Blocked, Ignored, Resolved or Acknowledged                                                                                           |


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
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