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What is netarx?

Netarx serves as a sophisticated detection system aimed at safeguarding enterprises from the risks associated with deepfake technology and synthetic media across voice, video, and email communications. Functioning in real-time, this platform continuously assesses metadata and content within these channels, promptly notifying users if any communications deviate from predetermined policies or exhibit unusual behavior. Netarx can be implemented via cloud services, on-premise setups, or within federated validator networks, and it includes options for post-quantum security while leveraging zero-knowledge proofs to safeguard user privacy. Organizations can customize multiple locations or departments, each equipped with unique security settings tailored to their specific requirements. Users receive immediate and clear alerts in their current applications through "flurp" notifications when any anomalies are detected, ensuring they remain informed. Moreover, IT teams gain specific alerts that enable them to address potential threats effectively, thereby significantly reducing the likelihood of false alarms and enhancing their defenses against AI-driven social engineering attacks. This cutting-edge solution not only addresses current digital vulnerabilities but also solidifies Netarx's role as an essential asset in the fight against the continuously evolving landscape of digital threats. By integrating advanced detection capabilities with user-friendly notifications, Netarx empowers organizations to stay one step ahead of malicious actors.

What is DeepFake-o-meter?

An innovative platform equipped with state-of-the-art techniques for identifying deepfakes is now accessible for public use. Users have the capability to upload one video file from their computer at a time. Deepfakes refer to AI-generated altered media that can create deceptive portrayals of individuals and their behaviors, which can lead to serious consequences if exploited. The DeepFake-o-meter, developed by the UB Media Forensics Lab, is an open-source solution aimed at detecting deepfake technologies produced by external sources. It provides an intuitive service that analyzes deepfake content utilizing various sophisticated detection methods, ensuring that results are generated securely and confidentially. In addition, it includes an API framework that allows developers to incorporate their deepfake detection algorithms and run them on a remote server. This platform not only supports developers but also acts as a crucial resource for researchers in the field of digital media forensics, allowing them to evaluate and compare the effectiveness of different detection algorithms. By fostering collaboration and innovation, this comprehensive approach significantly strengthens efforts against the irresponsible use of deepfake technology. As a result, it contributes to a safer digital environment where misinformation can be effectively challenged.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
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

netarx

Date Founded

2023

Company Location

United States

Company Website

www.netarx.com

Company Facts

Organization Name

UB Media Forensics Lab

Date Founded

2020

Company Location

United States

Company Website

zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/

Categories and Features

Categories and Features

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