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What is odix?

Odix's patented technology effectively neutralizes malicious code embedded within files. Our approach is straightforward; rather than attempting to identify malware, odix focuses on generating a clean, malware-free version of the file for users. This system ensures comprehensive protection against both known and unknown threats that could compromise the corporate network. At the heart of odix's malware prevention technology is its Deep File Inspection and TrueCDR™, a patented method that introduces a revolutionary detection-less strategy for addressing file-based attacks. The Core CDR (Content Disarm and Reconstruction) mechanism emphasizes the validation of a file's structure at the binary level while effectively disarming both recognized and unrecognized threats. This method stands in stark contrast to traditional anti-virus or sandbox techniques, which merely scan for threats, manage to identify a fraction of malware, and subsequently block certain files. In contrast, CDR guarantees the elimination of all forms of malware, including zero-day vulnerabilities. Additionally, users receive a secure replica of the original infected file, ensuring they maintain access to necessary information without risking security. This innovative solution empowers organizations to operate without the constant fear of file-based malware intrusions.

What is AppGuard?

Each day, adversaries develop over a million new types of malware. Traditional security solutions heavily rely on historical threat data, employing techniques such as behavioral analytics, artificial intelligence, and pattern recognition to spot malware; however, these methods often fall short in providing adequate real-time defense against new strains that may have unique features not seen before. While current security approaches emphasize malware detection, it raises the question of whether this strategy is indeed the most effective way to ensure safety. A variety of techniques are used for malware identification; for example, antivirus software depends on signature databases from past threats, machine learning algorithms generate predictive models using historical data, and behavioral analytics scrutinizes previous threats to forecast future actions. The main limitation of detection-oriented technologies is their dependency on existing malware information, which means they can only pinpoint threats already recognized and are likely to overlook emerging or adaptive threats. As the cyber threat landscape evolves rapidly, it becomes ever more vital to investigate proactive strategies that can foresee and reduce risks before they occur. Emphasizing prevention over detection may lead to a more robust defense against the continual barrage of new malware.

Media

Media

Integrations Supported

Active Directory
PwC Amplifier

Integrations Supported

Active Directory
PwC Amplifier

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

odix

Date Founded

2009

Company Location

United States

Company Website

www.odi-x.com

Company Facts

Organization Name

AppGuard

Company Location

Japan

Company Website

www.blueplanet-works.com/en/solution/appguard.html

Categories and Features

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