Security leaders are being pushed to treat AI adoption as a higher-risk environment for student data, research IP, and compliance—especially as generative AI becomes embedded in admissions support, learning platforms, and research workflows. A new security-focused brief outlines AI-specific risk considerations for CIOs and CISOs, emphasizing how misconfigured systems, model access controls, and inadequate governance can expose sensitive data or create compliance failures. The framing is practical: AI security must be an operational priority rather than an afterthought. For institutions, the immediate impact is planning—auditing vendors, tightening data handling policies, and aligning AI use with incident response and regulatory obligations.