Confidential Computing in the Public Cloud: Why Should You Protect Data in Use for Privacy and Trust?

Confidential Computing in the Public Cloud: Why Should You Protect Data in Use for Privacy and Trust?

This IDC Perspective addresses the needs, benefits, and challenges of adopting confidential computing and offers advice for technology suppliers and buyers. Use cases such as genome sequencing, data analytics, artificial intelligence, Internet of Things (IoT), and fraud analysis across industries such as healthcare/life sciences and finance are growing — and so is the complexity of regulatory compliance, security, and privacy. There is also a greater need for collectively leveraging data sets sourced from peer organizations in the industry while maintaining confidentiality and privacy. These complexities are exacerbated in the world of various deployment locations including on-premises datacenters, private cloud, and public cloud (hybrid cloud and multicloud). Confidential computing is a technology specifically designed to address all of these various needs."The need for regulatory compliance and increased commitment toward privacy is top of mind for all organizations, particularly to those operating in highly regulated industries. Building a strong perception of trust while protecting data and maintaining confidentiality and privacy is key to building a brand, reputation, and trust. Confidential computing is an upcoming and cutting-edge technology that engenders trust in such environments in an effective manner." — Amita Potnis, research director, Future of Trust

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