Privacy to a “TEE” – Secure data collaboration and confidential computing

Broadcast date: 13 Oct. 2026

Time: 08:00–09:00 PDT, 11:00–12:00 EDT, 17:00–18:00 CEST

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.

Key takeaways:

• Understand secure computation technologies, including trusted execution environments, secure multi-party computation, and homomorphic encryption.
• Discover practical use cases where secure collaboration harnesses data value while addressing challenging privacy and security threats.
• Gain practical guidance for assessing internal readiness, evaluating implementations, and ensuring deployments continue to meet organizational goals.