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features
design
support

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Write a Review

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.

Description

Enhancing patient care can be achieved through the secure and confidential sharing of data among healthcare professionals, ensuring the protection of privacy. Additionally, it is important to facilitate secure financial data analysis to effectively manage risks and detect fraud, while keeping client information encrypted and safeguarded. In the evolving landscape of digital marketing, creating targeted advertising and campaign insights without compromising user privacy can be accomplished through encrypted data analysis, especially in a post-cookie world. Furthermore, fostering data collaboration between various agencies is crucial, allowing them to work together efficiently without disclosing sensitive information to each other, thus bolstering both efficiency and data security. Moreover, developing applications for user authentication that maintain individuals' anonymity is essential in preserving privacy. Lastly, empowering governments to digitize their services independently of cloud providers can enhance operational trust and security. This approach ensures that the integrity of sensitive information is upheld across all sectors involved.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AMD Radeon ProRender Yes 
Anjuna Confidential Computing Software Yes 
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 
NVIDIA DRIVE Yes 
Oasis Parcel Yes 
Python No 
Thales Commander Yes 

Integrations

AMD Radeon ProRender No 
Anjuna Confidential Computing Software No 
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 
NVIDIA DRIVE No 
Oasis Parcel No 
Python Yes 
Thales Commander No 

Pricing Details

$0.005479 per hour
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
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 No 
Live Rep (24/7) No 
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 No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

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

Vendor Details

Company Name

Zama

Founded

2020

Country

France

Website

www.zama.ai

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 

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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