Anthropic’s latest AI model, Mythos, has become a national cybersecurity flashpoint after the company acknowledged it is limiting access rather than releasing broadly, citing defense and harm risks. Regulators and industry observers are focusing on how quickly AI-assisted vulnerability discovery can translate into real-world exploitation. The concern is moving beyond “model safety” into operational risk for critical infrastructure. Separate reporting and analysis point to a broader pattern: advanced AI labs are exploring phased or invitation-only rollouts to give defenders time to harden systems. For higher education, the implications are indirect but real—campuses are increasingly data-intensive targets and rely on vendors’ security posture. Governance conversations are also accelerating around what qualifies as “safe use” of frontier AI systems on campus networks and in research workflows.