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Sieve by Fendora

AI that filters security scanner false positives

发布日期 · UTC
2026-10-24
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Security scanners produce 80-90% false positives. Engineers stop looking. Real vulns hide in the noise. Sieve is an ML filter trained on 1,442 labeled findings across 26 repos. It scores each Semgrep finding and posts only the real ones as a PR comment. - 95% precision on unseen repos - 4 lines of YAML, zero config - Learns from feedback - Open source (Apache 2.0)

关键词

false positive filteringmachine learning静态分析