Illumio Founder and CEO Andrew Rubin explains why Mythos and other frontier AI models are shattering cybersecurity’s operating model – and why resilience is the only way forward Cyber-security has long rested on a single, uncomfortable assumption: attackers only have to be right once, while defenders have to be right every time. The odds were bad, but the fight was at least fair. Both sides operated at human speed. Humans found vulnerabilities. Humans built exploits. And humans on the other side drove the defense. That equilibrium is gone. In April 2026, Anthropic announced Mythos Preview, an AI model that autonomously discovered thousands of previously unknown vulnerabilities across every major operating system and browser, including flaws that had survived decades of human review. The implications were severe enough that Anthropic withheld public release, fearing that the model could dramatically accelerate cyberattacks if it were widely accessible. CEO Dario Amodei warned of a six- to 12-month window to patch tens of thousands of flaws before rival models caught up. Andrew Rubin, founder and CEO of Illumio, calls it a breaking point for cybersecurity’s old assumptions. “AI didn’t just raise the stakes,” he says. “It changed the rules.” In a recent episode of The Segment podcast, Rubin lays out what this means for the industry. He’s spent 13 years building Illumio around the premise that breaches must be contained because they can’t be prevented. That’s always been true, he says, but Mythos finally proves it. “We’re investing more and more money to get worse and worse outcomes, but we literally keep doing the exact same thing over and over again,” he said. AI just made the math asymmetric Some observers suggest AI can also generate patches at machine speed, neatly cancelling the threat. But Rubin compares that logic to the Covid-19 vaccine rollout.