Google Cloud’s new AMD-enabled confidential computing offering isn’t the only attempt around to protect data while in use by applications. All the major cloud vendors, including Amazon Web Services, Microsoft Azure, and IBM Cloud have their own approaches to the challenge of securing sensitive data at runtime – a major barrier for moving some enterprise applications from on-premises corporate data centers to the cloud.
According to a survey at June’s Linux Foundation Open Source Summit by the Confidential Computing Consortium, only 30 percent of attendees have heard of the technology, but it’s promising to change the way the more security-conscious organizations view public cloud infrastructure.
Related: Why Google Cloud Turned to AMD to Solve for Runtime Encryption
“Sensitive data being used by most applications in the data center and public cloud today are not protected against attacks that target data while it is in use by applications,” said Stephen Walli, governing board chair of the Confidential Computing Consortium and principal program manager at Microsoft.
As more applications are moved to the cloud or out to the edge, traditional perimeter security defenses are limited in their ability to protect against attacks, he told Data Center Knowledge. Plus, there are the challenges of protecting against your cloud service providers’ own employees, or against other customers of the same shared service.