Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Azure Confidential Computing enhances the privacy and security of data by safeguarding it during processing, rather than merely when it is stored or transmitted. It achieves this by encrypting data in memory through hardware-based trusted execution environments, enabling computations to occur only after the cloud platform has authenticated the environment. This method effectively blocks access from cloud service providers, administrators, and other privileged users. Additionally, it facilitates scenarios like multi-party analytics, where various organizations can collaboratively use encrypted datasets for joint machine learning efforts without disclosing their respective data. Users maintain complete control over their data and code, dictating which hardware and software can access them, and they can transition existing workloads using familiar tools, SDKs, and cloud infrastructures. Ultimately, this approach not only fosters collaboration but also significantly bolsters trust in cloud computing environments.
Description
Dvina is a comprehensive AI platform that integrates live databases and over 120 applications—such as Google Analytics, Salesforce, Notion, SAP HANA, and Airtable—into a cohesive intelligent workspace, allowing AI to query, analyze, summarize, and take action on real-time data without the need for duplication; this functionality empowers teams to access the most up-to-date metrics, generate valuable insights, and resolve intricate business inquiries directly from their interconnected systems, rather than relying on fragmented workflows across various tools. Additionally, Dvina prioritizes user privacy with its built-in features for automatic detection and masking of personal data, maintains a strict policy of not training on user data, and adheres to robust security and compliance measures, including EU-based infrastructure and GDPR-compliant policies, ensuring that sensitive information remains safeguarded while AI operates on live data sources. This dual focus on usability and security positions Dvina as a powerful solution for organizations seeking to harness AI effectively while protecting their data integrity.
API Access
Has API
No
API Access
Has API
No
Integrations
Airtable
No
Azure Data Explorer
Yes
Azure Databricks
Yes
Azure Key Vault
Yes
Azure Virtual Desktop
Yes
Google Analytics
No
Jira
No
Kubernetes
Yes
Linear
No
Microsoft Azure
Yes
Integrations
Airtable
Yes
Azure Data Explorer
No
Azure Databricks
No
Azure Key Vault
No
Azure Virtual Desktop
No
Google Analytics
Yes
Jira
Yes
Kubernetes
No
Linear
Yes
Microsoft Azure
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
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
Yes
iPad App
Yes
Android App
Yes
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)
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
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/solutions/confidential-compute
Vendor Details
Company Name
Dvina
Founded
2023
Country
United States
Website
dvina.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