Azure Confidential ComputingMicrosoft
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Related Products
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About
Azure Confidential Computing increases data privacy and security by protecting data while it’s being processed, rather than only when stored or in transit. It encrypts data in memory within hardware-based trusted execution environments, only allowing computation to proceed after the cloud platform verifies the environment. This approach helps prevent access by cloud providers, administrators, or other privileged users. It supports scenarios such as multi-party analytics, allowing different organisations to contribute encrypted datasets and perform joint machine learning without revealing underlying data to each other. Users retain full control of their data and code, specifying which hardware and software can access it, and can migrate existing workloads with familiar tools, SDKs, and cloud infrastructure.
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About
Google Cloud’s Confidential Computing delivers hardware-based Trusted Execution Environments to encrypt data in use, completing the encryption lifecycle alongside data at rest and in transit. It includes Confidential VMs (using AMD SEV, SEV-SNP, Intel TDX, and NVIDIA confidential GPUs), Confidential Space (enabling secure multi-party data sharing), Google Cloud Attestation, and split-trust encryption tooling. Confidential VMs support workloads in Compute Engine and are available across services such as Dataproc, Dataflow, GKE, and Vertex AI Workbench. It ensures runtime encryption of memory, isolation from host OS/hypervisor, and attestation features so customers gain proof that their workloads run in a secure enclave. Use cases range from confidential analytics and federated learning in healthcare and finance to generative-AI model hosting and collaborative supply-chain data sharing.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Enterprises and organizations seeking a solution to process highly sensitive data securely, retain full control of their workloads and enable collaborative analytics
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Audience
Enterprises and regulated-industry IT/security teams wanting a tool to process highly sensitive data in the cloud while ensuring full hardware‐enforced isolation, encryption-in-use and cryptographic proof of workload integrity
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
$0.005479 per hour
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationMicrosoft
Founded: 1975
United States
azure.microsoft.com/en-us/solutions/confidential-compute
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Company InformationGoogle
Founded: 1998
United States
cloud.google.com/security/products/confidential-computing
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Alternatives |
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Categories |
Categories |
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Integrations
AMD Radeon ProRender
Anjuna Confidential Computing Software
Azure Data Explorer
Azure Databricks
Azure Key Vault
Azure Virtual Desktop
Google Cloud Dataflow
Google Cloud Dataproc
Google Cloud Platform
Google Kubernetes Engine (GKE)
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Integrations
AMD Radeon ProRender
Anjuna Confidential Computing Software
Azure Data Explorer
Azure Databricks
Azure Key Vault
Azure Virtual Desktop
Google Cloud Dataflow
Google Cloud Dataproc
Google Cloud Platform
Google Kubernetes Engine (GKE)
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