Anthropic’s Mythos announcement has triggered a new wave of concern among cybersecurity leaders and policymakers about a widening gap between AI-accelerated vulnerability discovery and slower remediation cycles. A report describes experts warning that the bigger operational problem may be fixing issues—not just finding them. One cybersecurity executive, Shane Fry (CTO at RunSafe Security), said vulnerability discovery is outpacing patching and that Mythos is already identifying thousands of high-severity vulnerabilities, with most not yet patched. The concern extends across IT and operational technology (OT) environments like manufacturing and power grids, where remediation capacity is limited. The article also quotes David Lindner, CIS0 at Contrast Security, arguing that organizations already generate frequent vulnerability findings but often fail to remediate. Lindner said Mythos doesn’t resolve social engineering risks—where attackers use AI to impersonate internal staff or exploit human access processes. For higher education, these developments matter because universities are simultaneously expanding AI use in research and teaching and managing complex, decentralized systems that can be slow to patch and defend—raising compliance and data protection risk for campuses.