Building your AI vulnerability harness, Part 1

Summary

This post describes a three-layer pipeline that narrows raw vulnerability scanner findings to a small, prioritized set with documented evidence of exploitability. It frames the approach as a test harness that constructs and runs tests for each candidate finding, using AI-augmented analysis to reason across files and deployment context where pattern-matching SAST tools fall short. The first layer uses multi-scanner agreement, and the source says confidence rises when two or more scanners converge on the same finding.