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Dana Sulistiyo Kusumo

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Conference Jul 2026

Optimizing Snyk AI Results with Large Language Model (LLM) to Validate False Positive Rate

Software vulnerability detection using Static Application Security Testing tools still produces a high number of false positives, which increases the burden of manual verification for developers. A high false positive rate can reduce development efficiency, divert attention from critical vulnerabilities, and indicate a...

Danu Tryas Pristowo, Dana Sulistiyo Kusumo · 0 citations

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