CyberSecEval is a Hugging Face Space by Meta that tests large language models on various cybersecurity challenges. It runs standardized evaluations, displays results on a leaderboard, and provides visual analytics. The tool helps AI researchers and security professionals understand and mitigate risks associated with deploying LLMs in sensitive environments.
CyberSecEvalTest sits in PulseGate's LLM eval & observability category. It focuses on assessing how vulnerable or capable large language models are at cybersecurity-related tasks. It is built as an open-source project for security researchers. CyberSecEvalTest is free to use. CyberSecEvalTest is available on the web, and it can be self-hosted.
Meta builds and maintains CyberSecEvalTest, and it first shipped in 2023. Among its 4 catalogued features are LLM Evaluation, Cybersecurity Tests, and leaderboard.
Summary written by a language model from the project’s public pages.
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