Microsoft adds depth to cloud security with ‘confidential computing’

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The next step will likely be an expansion of the private preview followed by a public preview and then general availability, the CTO said. “The timelines are still being determined based on the customer requirements we have coming in and the maturation of the technologies,” he added.

Russinovich said that confidential computing can offer greater security assurance for highly sensitive data ranging from real-time telemetry and geolocation data received from cars, through to banks’ financial data and the data of health-care providers that want to use cloud-based machine learning services. “In fact, one of the very exciting scenarios that we see interest in is what’s called ‘multi-party machine learning’, where different providers, holders of different data sets, can combine those data sets and have machine learning algorithms do computation across them,” Russinovich said.

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