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papersTODAY 04:00 UTC

Benchmark Measures AI Agents' Ability to Locate Security Flaws in Code Repos

A new arXiv paper introduces a benchmark that tests whether language-model agents can pinpoint the specific code responsible for a vulnerability across an entire software repository. Existing cybersecurity evaluations mostly check if agents can detect, reproduce, or patch flaws, leaving location ability largely unmeasured. The work targets repository-scale settings, where agents must search large codebases rather than isolated snippets.

arXivAI agentsai-benchmarkscode-repositoriescybersecurityvulnerability detection

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