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When LLMs Refuse, But Agents Execute: The Hidden Tool Layer Vulnerability

AI 에이전트, 위험을 알면서도 실행하다 — LLM과 도구 계층의 치명적 갭

Why it matters

Testing a real LangGraph AI agent reveals a critical security gap: while the LLM successfully recognizes dangerous inputs like SQL injections and path traversals, the tool execution layer blindly trusts these decisions and executes them anyway. This vulnerability exposes that LLM-level safety testing is insufficient—developers must implement validation and sanitization at the tool layer, not rely solely on the model's judgment.

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agent securitySQL injectionLLM vulnerabilitiesLangGraphtool execution

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