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What is Google Cloud Confidential VMs?
Google Cloud's Confidential Computing provides hardware-based Trusted Execution Environments (TEEs) that ensure data is encrypted during active use, thus finalizing the encryption for data both at rest and while in transit. This comprehensive suite features Confidential VMs, which incorporate technologies such as AMD SEV, SEV-SNP, Intel TDX, and NVIDIA confidential GPUs, as well as Confidential Space to enable secure multi-party data sharing, Google Cloud Attestation, and split-trust encryption mechanisms. Confidential VMs are specifically engineered to support various workloads within Compute Engine and are compatible with numerous services, including Dataproc, Dataflow, GKE, and Gemini Enterprise Agent Platform Notebooks. The foundational architecture guarantees encryption of memory during runtime, effectively isolating workloads from the host operating system and hypervisor, and also includes attestation capabilities that offer clients verifiable proof of secure enclave operations. Use cases for this technology are wide-ranging, encompassing confidential analytics, federated learning in industries such as healthcare and finance, deployment of generative AI models, and collaborative data sharing within supply chains. By adopting this cutting-edge method, the trust boundary is significantly reduced to only the guest application, rather than the broader computing environment, which greatly enhances the security and privacy of sensitive workloads. Furthermore, this innovative solution empowers organizations to maintain control over their data while leveraging cloud resources efficiently.
What is Azure Confidential Computing?
Azure Confidential Computing significantly improves data privacy and security by protecting information during processing, rather than just focusing on its storage or transmission. This is accomplished through the use of hardware-based trusted execution environments that encrypt data in memory, allowing computations to proceed only once the cloud platform verifies the environment's authenticity. As a result, access from cloud service providers, administrators, and other privileged users is effectively restricted. Furthermore, it supports scenarios like multi-party analytics, enabling different organizations to collaborate on encrypted datasets for collective machine learning endeavors without revealing their individual data. Users retain full authority over their data and code, determining which hardware and software have access, and can seamlessly migrate existing workloads using familiar tools, SDKs, and cloud infrastructures. In essence, this innovative approach not only enhances collaborative efforts but also greatly increases trust and confidence in cloud computing environments, paving the way for secure and private data interactions across various sectors.
Integrations Supported
AMD Radeon ProRender
Anjuna Confidential Computing Software
Azure Data Explorer
Azure Databricks
Azure Key Vault
Azure Virtual Desktop
Gemini Enterprise Agent Platform
Google Cloud Dataflow
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Integrations Supported
AMD Radeon ProRender
Anjuna Confidential Computing Software
Azure Data Explorer
Azure Databricks
Azure Key Vault
Azure Virtual Desktop
Gemini Enterprise Agent Platform
Google Cloud Dataflow
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
API Availability
Has API
API Availability
Has API
Pricing Information
$0.005479 per hour
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Date Founded
1998
Company Location
United States
Company Website
cloud.google.com/security/products/confidential-computing
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/solutions/confidential-compute
Categories and Features
Virtual Machine
Backup Management
Graphical User Interface
Remote Control
VDI
Virtual Machine Encryption
Virtual Machine Migration
Virtual Machine Monitoring
Virtual Server
Categories and Features
Virtual Machine
Backup Management
Graphical User Interface
Remote Control
VDI
Virtual Machine Encryption
Virtual Machine Migration
Virtual Machine Monitoring
Virtual Server