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Google CodeMender

AI security agent that scans code, proves exploitability in a sandbox, and generates verified patches.

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About

CodeMender is Google's AI security agent, launched in preview in 2026, designed to move vulnerability remediation from passive scanning to autonomous fix generation. It scans codebases for memory corruption, injection flaws, web security issues, cryptographic problems, and insecure data handling across C/C++, Go, Java, Python, Ruby, Rust, and TypeScript. Unlike static analysis tools that flag patterns and leave triage to humans, CodeMender builds a proof-of-concept exploit and runs it in an isolated customer-managed sandbox — only confirmed-exploitable vulnerabilities move forward. It then generates a secure patch delivered as a code diff in VS Code or Google's Antigravity IDE, with an LLM-as-a-judge step verifying the fix doesn't break application logic. Google reported 55 confirmed vulnerabilities found in its own V8 engine during internal testing.

The honest picture: CodeMender is in preview and currently runs via the Gemini Enterprise Agent Platform or Google's AI Threat Defense product — it's an enterprise offering, not a tool individual developers can just install. The most capable model tier (Gemini 3.5 Flash Cyber) is limited to governments and trusted partners. Developers must still manually review and approve every patch, so it compresses triage rather than eliminating human judgment.

What it can do

  • AI vulnerability scanning across 8 languages
  • Sandbox-based proof-of-concept exploit verification
  • Exploit-confirmed prioritized finding lists
  • Auto-generated secure patches as reviewable diffs
  • LLM-as-a-judge validation that fixes preserve functionality
  • Zero source-code retention with VPC-isolated processing

Setup

Available in preview through the Gemini Enterprise Agent Platform or as part of Google AI Threat Defense. Contact Google Cloud sales for preview access.

Prerequisites

Google Cloud enterprise account; codebase in a supported language; Gemini Enterprise Agent Platform access.

Use cases

securityai-agentscode-reviewdevops

Works with

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 54; Trending score 84/100 from researcher assessment.

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.