Making AI work for privacy: How to scale privacy operations with secure AI
Contributors:
Daniel Barber
CEO and Co-founder
DataGrail
Christopher Carlson
CIPP/E, CIPP/US, CIPM
Privacy Officer and Associate General Counsel
Aledade
Shannon Yavorsky
Global Chair, Cyber, Privacy & Data Innovation Practice Group
Co-head of AI Practice, Orrick, Herrington & Sutcliffe
Brought to you by DataGrail
In 2026, privacy regulations are multiplying, enforcement risk is rising and headcount growth remains constrained — all while AI capabilities continue to mature. For privacy leaders, the question is not if they should use AI, but how they can deploy it responsibly to strengthen their programs without introducing more risk.
In this session, Daniel Barber, co-founder and CEO of DataGrail, joins leading privacy experts to examine how AI can help teams scale privacy operations while maintaining security, governance and trust. The discussion will move beyond theory to practical strategies for embedding AI into privacy workflows.
Making AI work for privacy: How to scale privacy operations with secure AI
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