Skip to content
InfoNewsLLM-specific

Benchmarking Endor Labs AI SAST: 2.6x more real vulnerabilities found than frontier models | Endor Labs

Published
Record updated
View JSON

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.