Deepfake is no longer new, but continues to wreak havoc while governments and authorities mull over ways to impose strict action against the misuse of this AI technology. Though deepfake has found use-cases in the movie and advertisement industry, it still becomes imperative to push for techniques to help identify them.
To help tackle deepfakes, several companies are working on AI algorithms that can detect such deceptive content. Here are a few of them:
DeepMedia AI
Yale graduates Rijul Gupta and Emma Brown co-founded DeepMedia to help unmask deepfake technology. DeepMedia offers two products: DubSync, a service utilising AI for translation and dubbing, and DeepIdentify.AI, a deepfake detection service.
The latter serves as their main offering, securing a notable $25 million three-year contract with the US Department of Defense (DoD), along with undisclosed agreements with allied forces.
Sentinel
An Estonian company, Sentinel, helps companies defend against fake media content. They use a Defence in Depth (DiD) approach to automate the authentication of digital media. The company works with democratic governments, defence agencies, and enterprises in mitigating the threat of deepfakes through a prominent AI-based protection platform.
Kroop AI
Founded by Jyoti Joshi, an AI scientist, along with IIT alumni Milan Chaudhari and Sarthak Gupta, this Gujarat-based startup Kroop AI, offers a deployable AI-enabled platform. It's designed for both businesses and individuals to identify deepfakes across audio, video, or image data.
Kroop AI's deep learning-based platform can detect and analyse deepfakes in detail across various platforms and mediums. This startup aims to become a global, affordable tool for detecting fake content, with a focus on the banking, finance sector, and cybersecurity.
Sensity
Netherlands-based company Sensity provides a visual threat intelligence platform and API to detect and counter deepfakes. They gather visual threat intelligence and use deep learning algorithms for detection.
Group Cyber ID
India's first hi-tech cyber detection centre, which provides extensive support to a number of organisations including law enforcement, GCID provides a range of services including advanced cyber security, IT audit, digital forensic, and threat intelligence services.
It specialises in offering security solutions to government agencies, public sectors, and businesses, encompassing areas such as network security, crime scene investigation, financial fraud detection, and border protection consultations.
Intel FakeCatcher
FakeCatcher, is a real-time deepfake detector developed by Intel in partnership with Umur Ciftci from the State University of New York at Binghamton. It operates on a web-based platform and uses Intel hardware and software to detect deepfakes by looking for subtle "blood flow" changes in video pixels.
The technology can detect fake videos with a 96% accuracy and when released last year, it was considered world’s first real-time deepfake detector that returns results in milliseconds.
Q Integrity
Switzerland-based company Quantum Integrity utilises patented deep learning technology for detecting deepfake image and video forgery, customizable for various use cases. Recently, the company moved from Switzerland to the US and branded themselves as Q-Integrity.
Microsoft Video Authenticator
Microsoft’s tool generates a confidence score for images or videos to indicate if the media has been manipulated. It analyses media for indications of manipulation using sophisticated AI algorithms. The tool was released ahead of 2020 US elections, and Microsoft has partnered with the AI foundation to provide its video authenticator tool to news outlets and political campaigns, as part of the Reality Defender 2020 initiative.
They have also collaborated with media giants such as BBC and the New York Times, Microsoft's Project Origin aims to standardise authenticity technology, with support from the Trusted News Initiative.
Your reaction
Discussion
What's your take on this story?
No comments yet — be the first to share your view.