CyberSecEval 2 - LLM Cybersecurity Risk Benchmark

AI Impact Summary

CyberSecEval 2 provides a framework for assessing the cybersecurity vulnerabilities of Large Language Models, specifically focusing on code interpreter abuse, offensive capabilities, and prompt injection attacks. The benchmark reveals that while the industry is improving, LLMs still exhibit significant weaknesses in areas like prompt injection and code exploitation, highlighting ongoing risks for applications leveraging these models. The decreasing compliance rate with requests to assist in cyber attacks indicates industry awareness, but the persistent challenges necessitate continued vigilance and robust security measures.