Higher education leaders are moving from early AI pilots to broader deployment while still needing governance and security controls suited to campus data and research risk. A security-focused brief highlights that universities managing sensitive student data and intellectual property face heightened exposure if AI systems are not secured with proper guardrails and compliance-aware monitoring. The article’s practical framing for CISOs and CIOs centers on managing the security lifecycle for AI environments—treating AI as a system that must be protected like other enterprise platforms rather than as a stand-alone tool. In parallel, the sector is seeing AI adoption expand faster than policy clarity in many campus settings, which increases the urgency for governance structures that can support safe deployment without slowing academic use.