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features
design
support

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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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Airtable
Azure Data Explorer
Azure Databricks
Azure Key Vault
Azure Virtual Desktop
Google Analytics
Jira
Kubernetes
Linear
Microsoft Azure
NVIDIA Confidential Computing
NoSQL
Notion
Oracle Database
PostgreSQL
SAP HANA
SQL
Salesforce
Snowflake
Trello

Integrations

Airtable
Azure Data Explorer
Azure Databricks
Azure Key Vault
Azure Virtual Desktop
Google Analytics
Jira
Kubernetes
Linear
Microsoft Azure
NVIDIA Confidential Computing
NoSQL
Notion
Oracle Database
PostgreSQL
SAP HANA
SQL
Salesforce
Snowflake
Trello

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

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
Graphical User Interface
Remote Control
VDI
Virtual Machine Encryption
Virtual Machine Migration
Virtual Machine Monitoring
Virtual Server

Product Features

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