Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Adaptive Security Reviews & Ratings
    4.9 out of 5 stars 152 Ratings
    Company Website for Adaptive Security
  • Sumsub Reviews & Ratings
    4.6 out of 5 stars 239 Ratings
    Company Website for Sumsub
  • Auth0 Reviews & Ratings
    4.4 out of 5 stars 1,122 Ratings
    Company Website for Auth0
  • Rocket Secure Host Access Reviews & Ratings
    4.8 out of 5 stars 4 Ratings
    Company Website for Rocket Secure Host Access
  • Cerberus FTP Server Reviews & Ratings
    4.8 out of 5 stars 159 Ratings
    Company Website for Cerberus FTP Server
  • Bacula Enterprise Reviews & Ratings
    4.5 out of 5 stars 125 Ratings
    Company Website for Bacula Enterprise
  • Thinfinity Workspace Reviews & Ratings
    4.7 out of 5 stars 16 Ratings
    Company Website for Thinfinity Workspace
  • CXT Software Reviews & Ratings
    4.6 out of 5 stars 70 Ratings
    Company Website for CXT Software
  • RallyFuel Reviews & Ratings
    5.0 out of 5 stars 1 Rating
    Company Website for RallyFuel
  • 1Password Reviews & Ratings
    4.2 out of 5 stars 16,955 Ratings
    Company Website for 1Password

What is SWEAR?

SWEAR operates as a platform dedicated to securing and authenticating audio and video content in real-time from the moment of capture. It creates a distinct "Digital DNA" for each frame, pixel, and audio segment during the recording, with the associated metadata safely recorded on a separate, unchangeable blockchain ledger, allowing any modifications to be easily detected later on. Users can verify the footage's authenticity by contrasting its current state with the original verified version, thus providing immediate evidence of its legitimacy when necessary. This platform is meticulously designed to safeguard sensitive uses, including legal documentation, surveillance operations, public safety initiatives, and corporate protection, which helps maintain a trustworthy chain of custody while retaining media integrity, whether being transmitted or stored. Furthermore, SWEAR’s security system integrates effortlessly with a variety of recording devices and cameras, and it includes a mobile application for greater convenience. The technology also delivers extensive metadata tracking, which covers aspects such as frame rate, resolution, and even detailed pixel information, assuring strong, immutable provenance and security protocols throughout the media's lifecycle. By adopting this comprehensive strategy, the platform not only bolsters confidence in the authenticity of media but also equips users with the tools necessary to leverage this technology in numerous critical situations. As a result, SWEAR stands out in the realm of media security and authenticity, paving the way for enhanced accountability in digital content management.

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

API Availability

Pricing Information

Free
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS
iPhone

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

SWEAR

Company Location

United States

Company Website

swear.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

Deepfake Detection

Not specified

Categories and Features

Deepfake Detection

Not specified

Popular Alternatives

Popular Alternatives

DigiByte Reviews & Ratings

DigiByte

DigiByte Global