Visa's open-source security harness, VVAH, automates the entire vulnerability lifecycle from detection to remediation. It can find vulnerabilities, write fixes, and even test those fixes against its own adversarial panel before human review. The harness ships with this full automated remediation loop enabled by default, though operators can cap it at detection. This advanced automation addresses the bottleneck created by AI finding vulnerabilities faster than they can be fixed. VVAH originated from Visa's participation in Anthropic's Project Glasswing, leveraging powerful language models for semantic reasoning and exploit chaining. The tool has gained significant traction on GitHub since its release, indicating strong industry interest. Visa provides VVAH to protect its ecosystem and assist companies with fewer cybersecurity resources. Contributions to the harness itself are not currently accepted, maintaining a one-way flow of benefit. The latest release extends the pipeline to include validation and iteration of fixes, ensuring they effectively negate exploits. This process refactors scanning around abstract syntax trees for better reasoning and exploitability analysis. A key innovation is Mean Time to Adapt (MTTA), a metric focused on the speed of resolution rather than just finding vulnerabilities. While some argue for an authorization gate before automated changes, Visa emphasizes that VVAH operates within controlled environments by authorized operators, and human oversight remains at crucial junctures like run initiation, patch review, and final merge.