Show HN: AgenticBench, 9 security tests run on 25 AI coding agents (agenticbench.org)

AgenticBench has announced the launch of a security leaderboard that evaluates 25 AI coding agents across nine distinct security tests. This significant advancement provides critical insights into how these agents manage sensitive data, assessing aspects like egress, telemetry, and workspace security, rather than the quality of code generated. Each test, executed in a controlled environment, yielded outcomes categorized as pass, fail, missing control, or not applicable, based on a comprehensive analysis of system-call traces and network traffic. This initiative is vital for the AI/ML community as it emphasizes the importance of security in AI tools, especially considering the increasing reliance on AI for complex coding tasks. With a structured framework for testing, the leaderboard not only highlights the security integrity of various coding agents but also promotes accountability among vendors. The outcome of these tests can guide developers and organizations in selecting secure AI solutions that protect their data and maintain operational boundaries, ultimately fostering greater trust in AI technologies.