Why Endor Labs AI SAST for C finds what other tools miss

Endor Labs announced full C support for its buildless AI SAST product, positioning it as a way to detect traditional C vulnerabilities such as buffer overflows, integer overflows, use-after-free errors, and cross-function memory-safety flaws amid increased AI-generated code. The company says its approach combines deterministic program analysis, including call-graph and dataflow tracing, with LLM-based reasoning to analyze entire codebases without requiring a reproducible build, aiming to avoid the limited code coverage of standalone models and the false positives of pattern-based scanners. In tests across four embedded C projects from one customer codebase, Endor Labs reports finding 96 of 102 known vulnerabilities, or 48 times more real findings than the next-best buildless pattern-based tool, while earlier multi-language benchmarks reportedly showed broader CWE coverage and more true positives than several traditional tools and frontier models. The product is designed to run locally in IDEs and on pull requests, providing call paths, reproducible exploit evidence, and suggested fixes, and it integrates with the company’s C software composition analysis capabilities and AURI security platform for policy enforcement across AI agents, models, and CI workflows.

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