How Confidential Computing lays the foundation for trusted AI

Confidential GKE Nodes on N2D machines with AMD SEV-SNP, generally available

Confidential GKE nodes are also now generally available with AMD Secure Encrypted Virtualization-Secure Nested Paging (AMD SEV-SNP) technology. These nodes use the general purpose N2D machine series and run on the 3rd generation AMD EPYC™ (code-named Milan) processors. Confidential GKE nodes with AMD SEV-SNP provides security for cloud workloads through assurance that workloads are running and encrypted on secured hardware. 

Confidential VMs on C4D machines with AMD SEV, in Preview

The C4D machine series are powered by the 5th generation AMD EPYC™ (code-named Turin) processors and designed to deliver optimal, reliable, and consistent performance with Google’s Titanium hardware.

Today, we offer global availability of Confidential Compute on AMD machine families such as N2D, C2D, and C3D. We’re happy to share that Confidential VMs on general purpose C4D machine series with AMD Secure Encrypted Virtualization (AMD SEV) technology are in preview today, and will be generally available soon. 

Unlocking new use cases with Confidential Computing

We’re seeing impact across all major verticals where organizations are using Confidential Computing to unlock business innovations.

AiGenomix
AiGenomix is leveraging Google Cloud Confidential Computing to deliver highly differentiated infectious disease surveillance, early detection of cancer, and therapeutics intelligence with a global ecosystem of collaborators in the public and private sector.

“Our customers are dealing with extremely sensitive data about pathogens. Adding relevant data sets like patient information and personalized therapeutics further adds to the complexity of compliance. Preserving privacy and security of pathogens, patients’ genomic and related health data assets is a requirement for our customers and partners,” said Dr. Jonathan Monk, head of bioinformatics, AiGenomix.

“Our Trusted AI for Healthcare solutions leveraging Google Cloud Confidential Computing overcome the barriers to accelerated global adoption by making sure that our assets and processes are secure and compliant. With this, we are able to contribute towards the mitigation of the ever-growing risk emerging from infectious diseases and drug resistance resulting in loss of lives and livelihood,” said Dr. Harsh Sharma, chief AI strategist, AiGenomix.

Google Ads 
Google Ads has introduced confidential matching to securely connect customers’ first-party data for their marketing. This marks the first use of Confidential Computing in Google Ads products, and there are plans to bring this privacy-enhancing technology to more products over time.

“Confidential matching is now the default for any data connections made for Customer Match including Google Ads Data Manager — with no action required from you. For advertisers with very strict data policies, it also means the ability to encrypt the data yourself before it ever leaves your servers,” said Kamal Janardhan, senior director, Product Management, Measurement, Google Ads.