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Description

A secure and unalterable data repository is established within trusted execution environments (TEEs), further reinforced by cryptographic evidence. Azure Confidential Ledger offers a decentralized and managed ledger system for data entries that utilises blockchain technology. Safeguard your information whether it is stored, transmitted, or actively in use through the implementation of hardware-backed secure enclaves found in Azure's confidential computing services. This ensures that your sensitive data remains unchanged over time. The blockchain’s decentralized framework employs consensus-driven replicas and cryptographically secured blocks to guarantee the perpetual integrity of the information recorded in the Confidential Ledger. A forthcoming enhancement will allow the inclusion of multiple participants to engage in decentralized ledger operations through the consortium model, an essential aspect of blockchain technology. You can have confidence that your data is immutable by conducting your own verification processes. Tamper evidence can be exhibited across server nodes, the recorded blocks on the ledger, and all transactions carried out by users, thereby enhancing trust in the system's integrity. Furthermore, this robust framework fosters a collaborative environment where stakeholders can work together while ensuring data security and accountability.

Description

Google Cloud's Confidential Computing offers hardware-based Trusted Execution Environments (TEEs) that encrypt data while it is actively being used, thus completing the encryption process for data both at rest and in transit. This suite includes Confidential VMs, which utilize AMD SEV, SEV-SNP, Intel TDX, and NVIDIA confidential GPUs, alongside Confidential Space facilitating secure multi-party data sharing, Google Cloud Attestation, and split-trust encryption tools. Confidential VMs are designed to support workloads within Compute Engine and are applicable across various services such as Dataproc, Dataflow, GKE, and Gemini Enterprise Agent Platform Notebooks. The underlying architecture guarantees that memory is encrypted during runtime, isolates workloads from the host operating system and hypervisor, and includes attestation features that provide customers with proof of operation within a secure enclave. Use cases are diverse, spanning confidential analytics, federated learning in sectors like healthcare and finance, generative AI model deployment, and collaborative data sharing in supply chains. Ultimately, this innovative approach minimizes the trust boundary to only the guest application rather than the entire computing environment, enhancing overall security and privacy for sensitive workloads.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AMD Radeon ProRender No 
Anjuna Confidential Computing Software No 
Azure Marketplace Yes 
Gemini Enterprise Agent Platform No 
Google Cloud Dataflow No 
Google Cloud Managed Service for Apache Spark No 
Google Cloud Platform No 
Google Kubernetes Engine (GKE) No 
HashiCorp Vault No 
Intel Open Edge Platform No 
Me.bot Yes 
Microsoft Azure Yes 
NVIDIA DRIVE No 
Oasis Parcel No 
Thales Commander No 

Integrations

AMD Radeon ProRender Yes 
Anjuna Confidential Computing Software Yes 
Azure Marketplace No 
Gemini Enterprise Agent Platform Yes 
Google Cloud Dataflow Yes 
Google Cloud Managed Service for Apache Spark Yes 
Google Cloud Platform Yes 
Google Kubernetes Engine (GKE) Yes 
HashiCorp Vault Yes 
Intel Open Edge Platform Yes 
Me.bot No 
Microsoft Azure No 
NVIDIA DRIVE Yes 
Oasis Parcel Yes 
Thales Commander Yes 

Pricing Details

$0.365 per hour per instance
Free Trial Yes 
Free Version No 

Pricing Details

$0.005479 per hour
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/products/azure-confidential-ledger/

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/security/products/confidential-computing

Product Features

Product Features

Virtual Machine

Backup Management No 
Graphical User Interface No 
Remote Control No 
VDI No 
Virtual Machine Encryption No 
Virtual Machine Migration No 
Virtual Machine Monitoring No 
Virtual Server No 

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