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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 Vertex AI Workbench. 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.
Description
Privatemode offers an AI service similar to ChatGPT, distinguished by its commitment to user data privacy.
By utilizing confidential computing techniques, Privatemode ensures that your data is encrypted right from your device, maintaining its protection throughout the AI processing stages. This guarantees that your sensitive information is safeguarded at every step.
Key features include:
Complete encryption: Thanks to confidential computing, your data is continuously encrypted, whether it is being transferred, stored, or processed in memory.
Comprehensive attestation: The Privatemode application and proxy confirm the integrity of the service using cryptographic certificates issued by hardware, ensuring trustworthiness.
Robust zero-trust architecture: The design of the Privatemode service actively prevents any unauthorized access to your data, including from Edgeless Systems.
EU-based hosting: The Privatemode infrastructure is located in premier data centers within the European Union, with plans for additional locations in the near future.
This commitment to privacy and security sets Privatemode apart in the landscape of AI services.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
AMD Radeon ProRender
Anjuna Confidential Computing Software
Google Cloud Dataflow
Google Cloud Dataproc
Google Cloud Platform
Google Kubernetes Engine (GKE)
HashiCorp Vault
Intel Open Edge Platform
NVIDIA DRIVE
Oasis Parcel
Integrations
AMD Radeon ProRender
Anjuna Confidential Computing Software
Google Cloud Dataflow
Google Cloud Dataproc
Google Cloud Platform
Google Kubernetes Engine (GKE)
HashiCorp Vault
Intel Open Edge Platform
NVIDIA DRIVE
Oasis Parcel
Pricing Details
$0.005479 per hour
Free Trial
Free Version
Pricing Details
€5/1M tokens
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/security/products/confidential-computing
Vendor Details
Company Name
Privatemode
Country
Germany
Website
www.privatemode.ai/
Product Features
Virtual Machine
Backup Management
Graphical User Interface
Remote Control
VDI
Virtual Machine Encryption
Virtual Machine Migration
Virtual Machine Monitoring
Virtual Server
