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"AI in Education Data Security: Protecting Students, Research, and IP"

AI is moving fast across universities. That brings new data risks across student records, research outputs, and IP, plus shadow AI used by staff and students. Join Ronan Murphy, Raluca Saceanu, and Brian Johnson of Liberty University for a practical session on how to find and reduce these risks without slowing teaching and research.

Artificial Intelligence is rapidly reshaping higher education. Universities are adopting AI tools for teaching, research, and collaboration at an unprecedented pace. While these technologies bring new opportunities, they also expose institutions to significant data security risks. Student records, research outputs, and intellectual property are increasingly at risk, and the rise of shadow AI tools adopted by staff and students without oversight compounds the challenge of governance.

This session brings together Ronan Murphy, Raluca Saceanu, and Brian Johnson of Liberty University to examine how universities can embrace AI while safeguarding critical data. The focus is practical, covering governance frameworks that can be demonstrated to regulators and boards, approaches to data classification and protection, and the importance of identity and access management for staff and students as they join, move, and leave. The discussion also addresses how to evaluate and manage risks in third-party platforms, including learning management systems, collaboration suites, and generative AI tools. Another key theme is how to monitor AI activity in ways that preserve privacy and uphold academic freedom.

The speakers walk through a realistic AI-related incident, showing what it looks like to move from first alert to containment and recovery. Brian Johnson shares hard-earned lessons from the field on which strategies delivered real value and which approaches universities should avoid.

Attendees will leave with a clear understanding of the steps needed to strengthen their institution’s security posture without slowing the pace of teaching and research. They will also be equipped to brief their board and leadership team with confidence and set a forward-looking agenda for protecting students, research, and intellectual property in an AI-driven academic environment.

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