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What is Varonis Data Security Platform?

Uncover the definitive answer for recognizing, monitoring, and safeguarding sensitive data on a grand scale. This all-encompassing data protection platform is meticulously crafted to quickly address risks, detect anomalies in activity, and maintain compliance, all while ensuring your operations run smoothly. By merging a powerful platform with a committed team and a strategic framework, it provides you with a significant advantage in the marketplace. The platform incorporates classification, access governance, and behavioral analytics to effectively protect your information, counteract threats, and streamline compliance requirements. Our proven approach is informed by numerous successful implementations that assist you in overseeing, securing, and managing your data with ease. A dedicated group of security experts constantly refines advanced threat models, updates policies, and aids in incident response, allowing you to focus on your primary goals while they navigate the intricacies of data security. This joint effort not only strengthens your overall security stance but also nurtures an environment of proactive risk management, ultimately leading to enhanced organizational resilience. Additionally, as the landscape of data threats evolves, our platform adapts to ensure continuous protection and peace of mind.

What is Devici?

Devici helps security and engineering teams build threat models that are consistent, reviewable, and easy to maintain as systems evolve. It focuses on capturing the architecture first, using a visual canvas where teams lay out processes, data stores, external entities, and trust boundaries. As components are described and attributes are applied, Devici identifies relevant threats and suggested mitigations from its built-in library, reducing the manual effort normally required to reason through diagrams or ad-hoc checklists. The tool is designed so that AppSec specialists, developers, and security champions can work together without specialized training. Real-time editing, in-model comments, and version history support collaborative reviews and allow teams to trace how decisions and risks change over time. Reusable templates and patterns make it simple to model common services or shared architecture pieces, helping larger organizations avoid duplicated work across teams. Devici also supports pushing mitigation tasks into existing development workflows through optional integrations, ensuring threat modeling outputs don’t remain isolated from day-to-day engineering. Its structure helps organizations move away from one-off diagrams and inconsistent documentation toward a predictable, repeatable approach that fits into modern development practices. Overall, Devici offers a practical way to raise the quality and clarity of threat modeling efforts without requiring complex onboarding or heavyweight tooling.

Media

Media

Integrations Supported

Active Directory
Azure Marketplace
Boldon James Email Classifier
CnSight
CyberArk Privileged Access Manager
IBM QRadar SIEM
Jscrambler
LogRhythm SIEM
Microsoft 365
Microsoft Entra ID
Microsoft Teams
OpenText Enterprise Security Manager
OpenText Threat Intelligence
Siberson Veriket Data Classification
Splunk Enterprise
Titus Classification Suite
Trellix Helix Connect
Velt

Integrations Supported

SD Elements

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Varonis

Date Founded

2005

Company Location

United States

Company Website

www.varonis.com/products/data-security-platform/

Company Facts

Organization Name

Security Compass

Date Founded

2004

Company Location

Canada

Company Website

www.securitycompass.com/devici/

Categories and Features

Threat Modeling

Not specified

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