Security · 2h ago
AI Security Scanner Reveals Flaw in LLM-as-Judge Approach
A developer built AgentProbe, a tool that fires 49 known prompt injection attacks at AI models. The tool's keyword-based detector was bypassed by a "hedge-then-comply" pattern, forcing reliance on an LLM judge. The author discovered a bug where the keyword stage never reached the confidence threshold, escalating all cases to the LLM judge.
Meridian48 take
The story highlights a practical pitfall in AI security evaluation: relying on one LLM to judge another can mask systemic issues in the detection pipeline.
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I Built an AI Security Scanner — Then Found a Bug in My Own Detector →
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