Minimize Friction in Confidential Computing and Secure Collaboration
Azure confidential computing brings data-in-use protection to provide added layers of defense when processing sensitive data to the cloud. Choosing a Microsoft and Intel partner makes it easier to transition your workload to confidential computing.
Organizations have vast amounts of confidential data that is currently locked down in silos due to privacy concerns.
Privacy-enhancing technologies such as confidential computing based on Intel SGX can create value by enabling analytics and AI workloads on confidential data, while keeping the data protected in use. However, implementing these innovations is challenging for most organizations because of the required effort and complexity.
In this session, Raluca Ada Popa, Co-founder and President of Opaque, will highlight the practical barriers to adoption and show how to address these concerns by making confidential computing easy to use and reducing friction for data scientists. https://opaque.co/
Microsoft Privacy Statement
Intel Privacy Statement
Raluca Ada Popa
Raluca Ada Popa is Co-founder and President of Opaque Systems as well as computer security and cryptography professor of computer science at UC Berkeley.
At UC Berkeley, Raluca co-directs the RISELab/SkyLab and has been leading a research group in confidential computing and privacy-preserving technologies.
Raluca has received her PhD in computer security as well as her Masters and two BS degrees, in computer science and in mathematics, from MIT.
She is the recipient of the 2021 ACM Grace Murray Hopper Award, Technology Review 35 Innovators under 35, a Sloan Foundation Fellowship award, Jim and Donna Gray Excellence in Undergraduate Teaching Award, Jay Lepreau Best Paper Award at OSDI, NSF Career, Microsoft Faculty Fellowship, as well as a George M. Sprowls Award for best MIT CS doctoral thesis.