This session presents the benefits of Azure Confidential Computing for multiple organisations to collaborate on data analysis and prediction, and protect any sensitive information to protect the privacy of their customers.

Security is a key driver for accelerating the adoption of cloud computing, but it’s also a major concern when you’re moving extremely sensitive intellectual property and data to a public cloud. There are common ways to secure data at rest and in transit, but threats may also occur when data is being processed in memory. Azure Confidential Computing adds new data security capabilities to the cloud by using trusted execution environments to protect your data while in use. With confidential computing, for example, you can use machine learning algorithms across different parties to better train models, without revealing the processed data.

About your speaker
Stefano Tempesta works at Microsoft in the Azure Confidential Computing product group to make the Cloud a more secure place for your data and apps. Additionally, as advisor to the Department of Industry, Australia, on the National Blockchain Roadmap, his current focus is on helping people gain and own their digital identity, with specific attention to the Education sector.


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