AI agnostic harness speeds up multi repo vulnerability scanning

The article discusses the process of building a vulnerability harness designed for scanning and validating code across multiple repositories. It emphasizes the need for a model-agnostic approach to maintain flexibility amidst rapid changes in the AI ecosystem. Key components of the harness include the Vulnerability Discovery Harness (VDH) and Vulnerability Validation System (VVS), which utilize distinct models to ensure that vulnerability findings are cross-validated.

The VDH proactively scans for vulnerabilities while the VVS manages the triage process, ensuring that confirmed bugs are actionable. The article highlights key stages such as Recon, Hunt, Validate, Deduplication, Judgement, and Fixing, each with specific roles and methods to maintain high-quality findings. The harness allows for dynamic threat modeling, cross-repo tracing, and automated patching, ultimately transforming a large volume of raw candidates into reliable security fixes.