AgentGuard Detects 100% of AI Agent Security Flaws Where Semgrep and CodeQL Find Zero

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A comparative test of 39 AI agent security samples found that AgentGuard v0.6.4 detected all vulnerabilities with zero false positives, while Semgrep and CodeQL identified none. The latter two tools lack any rules specifically designed for AI agent security, explaining their complete miss rate. AgentGuard relies on 17 detection rules covering all 10 OWASP ASI categories along with four additional attack vectors including Memory Poisoning and Multi-Agent Collusion. Running the scanner against Microsoft AutoGen and LlamaIndex codebases surfaced 332 critical vulnerabilities in total. Findings were reported directly to both projects via their respective issue trackers.

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ProgrammingDEV Community ·

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