Build your own vulnerability harness
Jun 18, 2026Dan Jones, Alexandra Godoi, Grant Bourzikas

Summary
This post details the development of a model-agnostic 'vulnerability harness' for AI-driven security analysis. It describes the evolution from a single-repo 'skill' to a fleet-wide scanning pipeline, emphasizing state management, persistence, and cross-repo reasoning. The harness is divided into a Vulnerability Discovery Harness (VDH) and a Vulnerability Validation System (VVS), using different models for each stage to ensure adversarial validation and model interchangeability. Key components include Recon, Hunt, Validate, Gapfill, Dedup, Trace, and Feedback agents, all orchestrated to manage context exhaustion and ensure robust vulnerability discovery across diverse codebases.
More from the Artificial Intelligence Integration & Impact trail
- Introducing Clef-omni with full multimodality, plus a faster Clef and a cheaper Clef-flash
- Introducing Web Search API via AI Gateway
- Introducing Clef: our open-source decision models, and new RL fine-tuning platform
- One year later: Sovereign AI and the fight for choice
- AI Search is now generally available