How can you protect your data with Confidential Compute and Containers? Ashish spoke to Zvonko Kaiser, Principal Systems Software Engineer, Confidential Containers and Kubernetes at Nvidia about confidential containers, confidential computing, and their importance in protecting sensitive data. They speak about the various threat models, use cases, and the role of GPUs in enhancing compute power for AI workloads

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Questions asked:
(00:00) Introduction
(01:45) A word from our sponsor SentinelOne
(02:18) A bit about Zvonko
(02:24) Encryption for Confidential Computing
(04:20) Confidential Computing vs Confidential Containers
(05:45) What sectors focus on Confidential Computing?
(07:09) Common Threats in Confidential Computing
(08:55) What is a Secure Enclave?
(10:05) Value of Attestation for Confidential Computing
(11:35) Lift and Shift Strategy for AI
(13:59) The role of GPU in confidential Computing
(15:37) Shared Responsibility with Confidential Computing
(17:10) Confidential Computing project you can get involved in
(18:16) The fun section

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