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ToolsOct 12, 2026

numbat – Endpoint Visibility and Forensics for AI Coding Agents

numbat is an open-source tool to monitor AI coding agents and rebuild their sessions.

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Summary

numbat is a new open-source tool from Perplexity that monitors AI coding agents like Claude Code, Codex, and Cursor. It hooks into these agents to normalize their activity into a single event model, allowing for detection rules to be run locally. The tool can rebuild sessions from stored evidence, identifying potentially malicious actions such as secret file reads followed by data exfiltration attempts.

The lesson from this incident

Full lesson

As AI coding agents like Claude Code, Codex, and Cursor gain widespread adoption in development environments, they introduce a novel and underappreciated attack surface: autonomous processes with broad filesystem, network, and credential access operating largely unmonitored. Without dedicated tooling, these agents can read sensitive secret files and exfiltrate data with no human-visible trail, making forensic reconstruction nearly impossible after the fact. The release of numbat highlights that traditional endpoint detection tools were not designed to normalize or interpret AI agent activity, leaving a critical visibility gap. This matters because AI agents frequently operate with developer-level privileges in environments containing source code, API keys, and cloud credentials — exactly the data most valuable to attackers. Treating AI agents as trusted black boxes without audit controls is a systemic security failure waiting to be exploited.

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numbat (product)Perplexity (vendor)Claude Code (product)Codex (product)Cursor (product)Gemini CLI (product)