Visa will offer an inside look at Project Glasswing and how the most powerful agentic models are changing enterprise security at VB Transform 2026

The security implications of advanced AI models were immediately clear to Visa’s technology team when they began testing Anthropic’s Mythos model.Just weeks into Project Glasswing, the team observed how quickly attackers can identify and weaponize vulnerabilities in critical code bases, creating security risks, explained Rajat Taneja, Visa’s president of technology, during a call to prepare for his session at VB Transform 2026, Venture Beat’s upcoming agentic AI event. Visa is among the companies selected to test Anthropic’s upcoming model — a version of which was released June 9 but abruptly disabled days later to comply with U.S. government directives.The findings of Project Glasswing put a spotlight on widening enterprise security gaps and the vulnerabilities malicious actors can take advantage of. "Security has always been important, but currently, in the age of AI, is going to be even more important because the attacks become autonomous,” Taneja told VentureBeat. “The defenses have to become autonomous. And we are not there. And there's an asymmetry there, which is a very big risk for the world."Threat actors now have access to powerful AI agents that can work 24/7, “operating at a scale and speed that human teams cannot match, automating the tedious reconnaissance and exploitation phases of a cyberattack,” according to Cisco’s State of AI Security 2026 report. Amy Chang, Cisco’s head of AI threat intelligence and security research, will also be a speaker at VB Transform.To mitigate these risks, Visa is building its own abstraction layers, observability, and data guardrails to secure its autonomous commerce frameworks. The payment services giant also rolled out an open‑source, AI-driven security framework that turns vulnerability discovery and remediation into a structured, repeatable pipeline. Their work represents a shift enterprise IT teams must make to protect enterprise systems against threats posed by bad actors wielding autonomous agents. Taneja will