As generative AI adoption accelerates across colleges and universities, security leaders are re-centering AI risk management around data exposure, compliance, and institutional intellectual property. The guidance outlines how AI environments heighten exposure for student data and research assets, while also introducing governance and compliance risks if models or tools are deployed without guardrails. For higher education IT and security teams, the focus shifts from traditional application controls to securing AI workflows, integrations, and model access. The article specifically calls out the need for CISOs and CIOs to treat AI security as strategic rather than incidental, aligning it with broader institutional risk frameworks. With campuses expanding AI capabilities in learning, advising, and research administration, the next enforcement layer is likely to arrive through audits, vendor requirements, and regulatory scrutiny of data protection.