endorlabs.comarticleEveryone Wins Their Own Benchmark | Blog | Endor Labs
An Endor Labs author explains how to read vendor-published benchmarks skeptically, using the principle that the publisher always wins its own benchmark. Red flags include winning everything by a lot, truncated axes or a self-defined reference score, missing precision/recall and raw counts, and claims like zero run-to-run variance from LLM-based tools. Green flags are transparent methods, honest limitations and error bars. The author then audits Endor Labs' own AI SAST benchmark: pooled ground truth plus manual review, 43% of ground-truth vulnerabilities missed by every tool, F1 of 0.465, and no published run-to-run spread.
TL;DR Checklist for reading vendor AI benchmarks skeptically, with Endor Labs auditing its own AI SAST benchmark as the example.
Also seen from another angle🛡️ Security →
Organisations named here
- Endor Labs
- Darrell Huff
- How to Lie with Statistics
Technologies named here
- Agent Security League
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