Data has never been more valuable—or more exposed. As organizations push to extract more value from their data, regulatory scrutiny and breach risk are climbing right alongside it. This episode opens a new series on privacy enhancing technologies (PETs) by framing that core tension and introducing the toolkit built to resolve it: differential privacy, homomorphic encryption, federated learning, confidential computing, synthetic data, and zero-knowledge proofs.

Kristie Chon Flynn, Data Protection Officer, Google, and John Elliott, Author Fellow, Pluralsight and RSA Conference Program Committee Member, break down each category in plain terms—what it actually does, where it fits, and why it matters right now—without assuming you're already a cryptography expert. Rather than a shallow survey, this conversation sets the foundation the rest of the series builds on.

If your organization is weighing how to unlock more value from data without expanding its exposure, this is the place to start.