Security design should work with people, not against them. Good systems make it easy to do the right thing. When we build better tools that match real work, everyone wins.

Global research thrives on collaboration across borders and institutions. Secure, compatible platforms provide the foundation for these vital partnerships. When done right, technology breaks down barriers while protecting data integrity.

Privacy isn’t secrecy, it’s control. It’s your right to decide who accesses your data, how it’s used, and when it’s erased. If someone questions your concern for privacy, ask them why they don’t care. Far from hindering progress, privacy frameworks actually enable innovation by building trust.

Data classification is essential. Research data, student records, operational info—each has unique risks. Proper classification aligns protection with sensitivity, ensuring resilience without mis-investing. Know your data, prioritize safeguards, and build trust by defending what matters most.

AI data consent challenges mirrors the broader cybersecurity issues we face. Just I actively advocate for "defense through partnership" in cybersecurity, we need collaborative approaches for ethical frameworks for AI data.

The stakes are too high for organizations to tackle this in isolation.

Universities' decentralized networks fuel innovation but heighten cybersecurity risks. With complex compliance and patchwork systems, are you managing technology or is it managing you? Leadership must champion integrated governance to protect not just data, but the mission of higher education.

A few weeks ago, I infected a phone with stalkerware and tracked a journalist (with her consent!) for Good Morning America.