This research challenges the effectiveness of current LLM security evaluation methods, arguing they don't adequately reflect real-world cyber threats.

Key findings:

• Misaligned assessments: Current LLM evaluations focus on capabilities rather than comprehensive risk analysis
• Incomplete picture: Technical benchmarks alone fail to capture the practical impact of LLM vulnerabilities
• Need for holistic approach: Effective security evaluation requires incorporating real-world attack dynamics and impact measurements
• Security implications: Without better evaluation frameworks, organizations may underestimate actual risks posed by LLM deployments

This research matters because it highlights critical gaps in how we assess AI security risks, potentially leaving organizations vulnerable to emerging threats despite passing standard evaluations.

LLM Cyber Evaluations Don't Capture Real-World Risk