Mohammad Jalili

Empiricist engineer & founder

About

Building Fendora, AI-powered DevSecOps to bring security and compliance into everyday development workflows. I care about building real systems, improving developer experience, and making complex problems simple and reliable. Always interested in connecting with people working on similar challenges.

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Maker History

Sieve by FendoraAI that filters security scanner false positives
Oct 2026

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Joined Product HuntMarch 30th, 2026

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6h ago

Sieve by Fendora - AI that filters security scanner false positives

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)