A report highlighted a persistent vulnerability in higher education cybersecurity: students are often treated as lower-risk actors when they may represent a major attack surface through credential use, device behavior, and adoption of AI tools. By focusing on student training rather than employee-only programs, the reporting argues institutions may be underestimating how students engage with systems, requests for access, and AI-enabled workflows that can bypass typical governance controls. The development matters as universities expand AI-driven systems for coursework, research, and administrative workflows while simultaneously increasing threats tied to data exfiltration, phishing, and misuse of agentic tools. For cyber teams, the reported warning increases urgency around student-focused onboarding, controlled access patterns, and practical training tied to real student activities—especially where AI platforms integrate with university systems and third-party data sources.