Privacy to a 'TEE' – Secure data collaboration and confidential computing
Contributors:
Dylan Gilbert
Senior Fellow for Privacy Engineering
IAPP
Lynne Penberthy
Director for the Surveillance Research Program
National Cancer Institute
Rina Shainski
Chairwoman, Co-founder
Duality Technologies
Timon Van Overveldt
Senior Staff Software Engineer
Broadcast date: 13 Oct. 2026
Privacy-enhancing technologies for secure computation are generating valuable insights from sensitive, distributed datasets and helping to solve pressing real-world problems, all while mitigating privacy risks. Following on this series' introduction to PETs, take a deeper dive into secure computation techniques and considerations for deployment, including risks, benefits and challenges. Real-world use cases from the financial, healthcare, and technology sectors illustrate how PETs generate value and protect privacy through data collaborations across silos, organizations and jurisdictions.
Privacy to a “TEE” – Secure data collaboration and confidential computing
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