New feature: Confidential computing with Azure and Kubernetes
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In late November, the Microsoft Azure team introduced confidential computing in Kubernetes workloads. The primary benefit is improved data security on CPUs. Prior to this release, when data was decrypted by a CPU, it changed from a protected, transitional state to a vulnerable, stationary state. With this new Azure update, data workloads are protected across the board.
For more information about this new feature and instructions on how to implement confidential computing and secure enclaves in your Kubernetes containers, see the official blog post linked above or review the Kubernetes Git page.