An LLM multi-agent system with a public leaderboard claims to uncover hidden security, licensing, dependency, and compliance risks in 20 open-source AI libraries, matching up to 88% of OpenSSF Scorecard checks.
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LibVulnWatch: A Deep Assessment Agent System and Leaderboard for Uncovering Hidden Vulnerabilities in Open-Source AI Libraries
An LLM multi-agent system with a public leaderboard claims to uncover hidden security, licensing, dependency, and compliance risks in 20 open-source AI libraries, matching up to 88% of OpenSSF Scorecard checks.