Latest Visa Vulnerability Agentic Harness release moves AI-powered cyber risk management from discovery to validated remediation New services from Visa Consulting & Analytics help clients identify the vulnerabilities that matter most and act before bad actors do SAN FRANCISCO--(BUSINESS WIRE)-- Visa (NYSE: V) today announced enhancements to its cybersecurity portfolio to help organizations identify and fix vulnerabilities more effectively. Unveiling the next evolution of the Visa Vulnerability Agentic Harness (VVAH), its open-source, model-agnostic framework, Visa is helping organizations significantly reduce the Mean Time to Adapt (MTTA), the time between discovery and resolution of attack paths, with some resolutions shrinking from weeks to hours. And to help clients navigate this evolving threat landscape, Visa also announced the expansion of its Visa Consulting & Analytics (VCA) Cybersecurity Advisory Practice with new advisory services designed to help clients assess risk, prioritize remediation efforts and strengthen resilience in an evolving threat environment. "AI is compressing the time between vulnerability discovery and exploitation, which means defenders need a faster, more reliable path to action," said Rajat Taneja, President, Technology, Visa. "By advancing VVAH and expanding our cybersecurity advisory capabilities, we're helping organizations move from insight to validated remediation while strengthening resilience in an increasingly AI-driven threat landscape." Expanding VVAH Originally released following Visa's participation in Anthropic's frontier AI cybersecurity initiative, Project Glasswing, VVAH demonstrated how AI can help security teams uncover vulnerabilities, assess exploitability and generate structured findings. The latest release extends that workflow beyond discovery into remediation and validation. Key enhancements include: - Closed-loop remediation: Structured feedback helps teams refine fixes that fail validation without restarting the process. - Flexible model choice: Organizations can now deploy approved Anthropic models and OpenAI models, in addition to any other AI model through configuration rather than code changes. - Greater visibility: Optional real-time progress views provide additional