Sifting the Noise: A Comparative Study of LLM Agents in Vulnerability False Positive Filtering

Static Application Security Testing SAST tools are essential for identifying software vulnerabilities, but they often produce a high volume of false positives FPs, imposing a substantial manual triage burden on developers. Recent advances in Large Language Model LLM agents offer a promising...

AI-supported vulnerability triage with the GitHub Security Lab Taskflow Agent

Triaging security alerts is often very repetitive because false positives are caused by patterns that are obvious to a human auditor but difficult to encode as a formal code pattern. But large language models LLMs excel at matching the fuzzy patterns that traditional tools struggle with, so we at...