I Tested a Real AI Agent for Security. The LLM Knew It Was Dangerous - But the Tool Layer Executed Anyway.

A security test on a real AI agent revealed critical vulnerabilities in the tool layer despite the LLM recognizing and warning against malicious commands. This gap, where the framework blindly trusts the model's output before executing tools, poses significant risks like SQL injection and path traversal attacks, highlighting the need for additional validation mechanisms between the LLM and tool execution layers.

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