Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
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
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
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
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