It's 2023 and memory overwrite bugs are not just a thing, they're still number one.Microsoft Azure CTO believes confidential computing is the future of targeted advertising.However, AMD's Raghu Nambiar, VP for Data Center Ecosystems and Solutions, said that working with industry players such as VMware is critical for boosting adoption of confidential computing. Intel is notably absent from the Certifier Framework group, despite being a premier member of the Confidential Computing Consortium and sponsor of the Confidential Computing Summit itself. The group says showed off the technology at the Confidential Computing Summit, including demos of "universal" client-cloud trust management across multiple hardware platforms. The purpose of this Certifier Service is to provide a scalable means to deploy many confidential computing applications and enforce security policy. The second part of the framework is the Certifier Service, made up of a number of server applications that evaluate policy and manage trust relationships in a security domain. The API is said to support multiple confidential computing platforms, so there is no need to rewrite an application that uses the Framework when moving to another platform, it is claimed, and porting an app to a confidential computing environment may only require “half a dozen or so calls to the API. The cloud and virtualization giant claims that this is the purpose of the Certifier Framework, which provides platform-independent support for specifying and enforcing trust policies to secure workloads across on-premises and third-party infrastructure, including multi-cloud environments, while the companies will work together on a set of developer APIs across the x86, Arm and RISC-V ecosystems.Īccording to VMware, the Certifier Framework comprises two parts: one is an application development library (the API) that allows a developer to either port an existing "well-written" application, or develop a fresh one with minimal effort. However, VMware points out that like many useful hardware features, it will not be widely adopted until it becomes easier to develop applications in the new paradigm. This is described as an emerging class of machine learning and "data economy" workloads that are based on sensitive data and models aggregated from multiple sources, which will be enabled by confidential computing.
This sees several users each contribute their own private data to an enclave, where it can be analyzed securely to produce results much richer than each would have got purely from their own data set. Another scenario for confidential computing put forward by Microsoft, which believes confidential computing will become the norm – is multi-party computation and analytics.
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