As higher education accelerates AI pilots, the cybersecurity and data governance burden is increasingly shifting from IT-only concerns to enterprise-wide risk management for student data and learning platforms. One warning point: when campuses adopt AI tools or integrate AI agents into workflows, they expand the number of systems processing sensitive identity, attendance, and learning information. Those integrations raise the stakes for identity and access management, monitoring, and secure data boundaries. Industry coverage also underscores that the success of AI deployments depends on dependable infrastructure—registration, identity verification, and learning platforms—where outages or misconfigurations can quickly become student-facing incidents. For universities, the practical implication is to treat AI security and privacy controls as core infrastructure requirements rather than optional add-ons.