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Description

An accessible platform that incorporates cutting-edge methods for detecting deepfakes is available for use. Users can upload a single video file from their computer at a time. Deepfakes, which are AI-generated fabricated media, can create misleading representations of individuals and their actions, posing significant risks when misused. The DeepFake-o-meter, created by the UB Media Forensics Lab, is an open-source tool designed to identify deepfake technologies created by third parties. It offers a user-friendly service that allows for the analysis of deepfake content using various advanced detection techniques, ensuring that results are delivered securely and privately. Additionally, it features an API framework that enables developers to integrate their deepfake detection algorithms and execute them on a remote server. Furthermore, it serves as a valuable resource for researchers in digital media forensics, providing a platform for assessing and benchmarking the effectiveness of different detection algorithms against one another. This multifaceted approach ultimately enhances the fight against the misuse of deepfake technology.

Description

Sidenty is a digital protection service focused on helping clients defend their identities, intellectual property, and online reputations from unauthorized use and distribution. The company provides specialized solutions including copyright enforcement, leaked content removal, deepfake takedown services, and online identity protection. Working alongside legal professionals and intellectual property advisors, Sidenty assists clients in addressing privacy violations and content misuse across a variety of digital platforms. The company takes a hands-on approach by manually reviewing cases, identifying risks, locating unauthorized content, and pursuing removal actions. Its services are designed to help creators, influencers, professionals, and businesses regain control over content that has been shared without permission. Sidenty supports the removal of leaked media from websites, social networks, messaging platforms, and other online channels. The company also helps combat the growing threat of AI-generated deepfakes that can damage reputations and compromise personal privacy. Clients receive tailored guidance and protection strategies based on their specific circumstances and digital exposure risks. By combining legal support with content protection expertise, Sidenty helps individuals and organizations maintain greater control over their online identities and intellectual property.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

$99/month
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

UB Media Forensics Lab

Founded

2020

Country

United States

Website

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

Vendor Details

Company Name

Sidenty

Founded

2019

Country

Netherlands

Website

sidenty.com

Product Features

Product Features

Digital Rights Management

Access Revocation No 
Audio / Video Protection Yes 
Distribution Management No 
Expiration Management No 
Image Protection Yes 
License Management No 
Location Control No 
PDF Protection No 
Software Application Protection No 
Subscription Management No 
Usage Tracking / Analytics No 
Watermarking No 

Alternatives

Alternatives