Anthropic is moving to limit access to its latest AI model, Mythos, citing the model’s ability to find and exploit software vulnerabilities. The company is reportedly restricting Mythos to a small set of major technology partners through a phased, defensive-oriented release approach—an attempt to give defenders time to harden systems before attackers do. The reporting also highlights that AI-enabled cyberattacks are already feasible with existing public models, with automation lowering the technical barrier for would-be attackers. The episode adds urgency for campuses and systems that rely on third-party software, especially where student services and research infrastructure depend on complex, networked platforms. For higher education, the practical impact centers on preparedness: patching speed, vulnerability management, and incident response planning for AI-driven threat scenarios. Institutions increasingly need to treat AI security risk as an operational issue, not just a policy conversation around misuse. Separately, the same governance theme is reinforced by how AI is being deployed in workplace systems; adoption constraints and security constraints are converging into a shared requirement for clearer controls, vendor accountability, and measurable safeguards.