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Google has open-sourced Mantis, a modular toolkit enabling AI coding agents to autonomously execute the full software vulnerability lifecycle, from detection and reproduction to patching and risk scoring. This stack-agnostic framework operates via slash commands that chain specific skills to filter false positives and verify fixes in sandboxed environments before assigning residual risk scores. While currently limited to local evaluation rather than production deployment, Mantis represents a significant step toward integrating rigorous security review directly into AI-driven development workflows.

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Google Open-Sources Mantis: A Modular Skills Toolkit That Lets Coding Agents Find, Reproduce and Patch Vulnerabilities

MarkTechPostSeptember 9, 20263 min read

Google has open-sourced Mantis, a stack-agnostic toolkit of security review skills for AI coding agents. It runs the full vulnerability lifecycle: sweep the code, filter false positives, reproduce the bug in a sandbox, patch it, re-attack the patch, then score the risk. Apache 2.0, and documented as demonstration-only. The post Google Open-Sources Mantis: A Modular Skills Toolkit That Lets Coding Agents Find, Reproduce and Patch Vulnerabilities appeared first on MarkTechPost.

Google has open-sourced Mantis, a stack-agnostic toolkit of security review skills that lets an AI coding agent run the whole vulnerability lifecycle. It finds a suspected flaw, strips the false positives, reproduces the bug inside a sandbox, writes a minimal patch, re-attacks that patch, and scores the residual risk.…

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