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What is Data Theorem?

Evaluate your applications, APIs, and any concealed resources within your vast multi-cloud environment. Craft specific policies tailored to different asset types, employ automated security testing tools, and assess vulnerabilities within your systems. It's crucial to tackle security risks before deploying into production, ensuring that both applications and cloud data comply with necessary regulations. Introduce automated remediation strategies for identified vulnerabilities, including options to revert changes to mitigate the risk of data breaches. Effective security measures detect problems quickly, while superior security solutions are capable of completely eliminating them. Data Theorem is committed to developing exceptional products that simplify the intricate challenges of modern application security. Central to Data Theorem’s offerings is the Analyzer Engine, which enables users to continuously test and exploit application vulnerabilities using both this engine and proprietary testing tools. Additionally, Data Theorem has developed the premier open-source SDK, TrustKit, which is widely adopted by a multitude of developers. As our technological ecosystem grows, we empower our clients to effortlessly protect their entire Application Security (AppSec) framework. By focusing on innovative strategies, we aspire to remain at the cutting edge of security technology, ensuring that our clients can navigate the evolving landscape of cybersecurity challenges. This commitment to proactive security measures underscores our mission to safeguard digital assets effectively.

What is Averlon?

Amidst a plethora of cloud vulnerabilities, only a select few actually present substantial risks in the real world, which underscores the importance of identifying this vital group for effective cloud security measures. Even the most dedicated security teams may encounter obstacles eventually. The mere presence of a vulnerability on a publicly accessible asset or its inclusion in the Known Exploited Vulnerabilities (KEV) database does not inherently signify urgency. By swiftly integrating with your cloud ecosystem, you can instantly assess your security landscape. Utilizing our sophisticated attack chain analysis, you will gain clarity on where to direct your resources effectively. Averlon performs a comprehensive graph analysis of your cloud infrastructure, scrutinizing assets, network connections, access permissions, and vulnerabilities. This thorough examination empowers you to focus on the assets and issues that represent the greatest threat. In addition, Averlon ensures continuous monitoring of your cloud environment to identify potential threats as they arise. By refining alerts to emphasize root causes and presenting specific solutions, Averlon significantly minimizes the time required to tackle vulnerabilities, thereby preserving the security of your cloud infrastructure. This forward-thinking strategy not only bolsters safety but also cultivates a proactive culture of ongoing enhancement in cloud security practices. As a result, organizations can stay ahead of emerging threats while maintaining a robust defense against potential breaches.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Objective-C
Swift

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Kubernetes
Salesforce

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Data Theorem

Date Founded

2013

Company Location

United States

Company Website

www.datatheorem.com

Company Facts

Organization Name

Averlon

Company Website

averlon.ai/

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