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Protecting data on public clouds and edges with confidential computing

This article is part of the Technology Insight series, made possible with funding from Intel.

Using the public cloud is like swimming in the ocean. Both are vast resources filled with potential –- and peril. Without proper precautions, even experts can be attacked and drown.

Despite these dangers, organizations increasingly rely on both to integrate multiple data sources for analytics. One big draw: seemingly bottomless trenches of data to help develop and train machine learning systems.

Old challenge, new twist

Many CISOs, CSOs, and CIOs continue to struggle to protect data from sophisticated cross-cloud orchestration and cross-tenant attacks, among others. It’s a modern variation of a familiar challenge: balancing security and privacy with usability. While placing and processing intellectual property on shared servers is fraught, experts say the risk can and must be managed.