Staying Ahead of Adversarial AI Through Agentic Source Code Review

Google's Mandiant team introduces the Agentic Vulnerability Discovery Harness (AVDH), a multi-agent AI framework that augments human expertise to rapidly discover and validate vulnerabilities in source code. 

Over 10 months, AVDH has identified over 100 true-positive critical vulnerabilities in two days during incident response, analyzed tens of millions of lines of code, and resulted in 12 assigned CVEs. 

The pipeline chains specialized agents through threat modeling, entry point discovery, context enrichment, hypothesis generation, and validation—with human experts verifying findings and injecting distilled domain knowledge. 

This approach enables defenders to scale code analysis against adversarial AI, complementing continuous monitoring tools like CodeMender and Google AI Threat Defense. The framework demonstrates that AI is most effective as a force multiplier for human expertise, not a replacement. 

https://cloud.google.com/blog/topics/threat-intelligence/staying-ahead-of-adversarial-ai-through-agentic-source-code-review

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