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What is Outpost24?

Achieving a thorough understanding of your attack surface necessitates a cohesive strategy that effectively reduces cyber risks by considering the viewpoint of potential attackers through regular security evaluations across diverse platforms, such as networks, devices, applications, clouds, and containers. Merely accumulating more data does not suffice; even experienced security teams can find it challenging to manage the sheer volume of alerts and vulnerabilities that arise. By leveraging cutting-edge threat intelligence and machine learning technologies, our solutions provide risk-focused insights that enable you to prioritize issues more effectively, thus reducing the time needed for vulnerability patching. Our proactive, predictive risk-based vulnerability management tools aim to strengthen your network security while accelerating remediation efforts and enhancing patching efficiency. In addition, we boast the industry's most thorough methodology for the continuous detection of application vulnerabilities, ensuring that your Software Development Life Cycle (SDLC) remains protected, facilitating quicker and safer software releases. Furthermore, secure your cloud migration with our specialized cloud workload analytics, CIS configuration assessments, and container evaluations designed for multi-cloud and hybrid environments, ensuring a robust transition. This comprehensive approach not only secures your assets but also fosters overall organizational resilience against the constantly evolving landscape of cyber threats. As a result, organizations can better navigate the complexities of cybersecurity challenges and maintain a strong defense posture.

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.

Media

Media

Integrations Supported

Chronicle SOAR
NorthStar Navigator

Integrations Supported

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

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Outpost24

Date Founded

2001

Company Location

Sweden

Company Website

outpost24.com

Company Facts

Organization Name

Data Theorem

Date Founded

2013

Company Location

United States

Company Website

www.datatheorem.com

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