InfoNewsLLM-specific
Benchmarking Endor Labs AI SAST: 2.6x more real vulnerabilities found than frontier models | Endor Labs
- Published
- Record updated
Summary
Endor Labs benchmarked its AI SAST product against four traditional SAST tools (Semgrep OSS, OpenGrep, Bearer, CodeQL) and two frontier models, Claude Opus 4.7 and Codex GPT-5.5, across 8 open-source projects. Endor Labs AI SAST found 192 real vulnerabilities, 2.6x what Claude Opus 4.7 found, 3.5x what Codex GPT-5.5 found, and 2.4x what Semgrep OSS found. It also produced about 60% fewer false positives than Semgrep OSS and OpenGrep.
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