Published Date : 10/30/2025Â
Brivas, a pioneering company in the field of biometric authentication, has announced a significant patent acquisition deal with 3Fish Ltd., a company based in Christchurch, New Zealand. This acquisition sets the foundation for the development of a groundbreaking 'Proof of Human' protocol based on 'Augmented Authentication' technology.
The Augmented Authentication technology from Brivas leverages sensor fusion accelerated with GPUs to combine thermal maps, motion pulses, and micro-gestures for biometric gesture recognition. This sophisticated approach ensures a high level of accuracy and security in verifying human identities.
Proof of Human technology is designed to block synthetic IDs and deepfakes, according to the official announcement from Brivas. This is a critical feature in an era where digital identity fraud and AI-generated content are becoming increasingly sophisticated.
The first of the 3Fish patents dates back to 2010, which means they predate the 2013 America Invents Act (AIA). The AIA shifted the U.S. patent system to prioritize the first filing of a claim over the first invention. As a result, key patents in Brivas' portfolio now enjoy Prior Invention Protected status, providing a strong legal foundation for their innovations.
Brivas claims that the companies' collaborative work 'leapfrogged' the efforts on biometric presentation attack detection (PAD) by the National Institute of Standards and Technology (NIST). They anticipated the threat of deepfakes a full decade before it became a prominent concern.
Beau Parry, a partner and inventor at Brivas, emphasizes the foresight behind these patents. 'This is foresight etched in code,' he says. 'The Brivas/Fish patents didn’t chase threats—they built defenses for a future of polymorphic bots and holographic personas. Brivas/Fish GPU fusion makes liveness an oracle of trust.'
A patent for an 'Automated Identity Assessment Method and System' is described by Brivas as the primary active patent in the 3Fish family. This patent outlines an access control system that uses a sequence of unpredictable prompts to perform visible actions, which are then video recorded and assessed using a gesture recognition system.
SumVentures Founder Dan Leckrone played a crucial role in integrating the patents from 3Fish Founder Jeremy Wyn-Harris and Beau Parry, as mentioned in the announcement.
Digital identity providers have been exploring various methods to accurately identify and verify the claims of AI agents. These methods include biometric NFT tokens, blockchain-based biometric proof of humanity, and other innovative approaches. The acquisition by Brivas and the integration of 3Fish's IP position them at the forefront of this rapidly evolving field.Â
Q: What is the 'Proof of Human' protocol?
A: The 'Proof of Human' protocol is a technology designed to verify the identity of a human user, blocking synthetic IDs and deepfakes. It uses advanced biometric gesture recognition to ensure the authenticity of the user.
Q: What is Augmented Authentication technology?
A: Augmented Authentication technology combines thermal maps, motion pulses, and micro-gestures using sensor fusion and GPU acceleration. This technology enhances the accuracy and security of biometric verification.
Q: Why is the 3Fish patent from 2010 significant?
A: The 3Fish patent from 2010 predates the 2013 America Invents Act, which shifted the U.S. patent system to prioritize the first filing. This gives the patent Prior Invention Protected status, providing a strong legal foundation for Brivas' innovations.
Q: How does Brivas' technology anticipate the threat of deepfakes?
A: Brivas' technology, developed in collaboration with 3Fish, anticipated the threat of deepfakes a decade before they became a prominent issue. The technology uses advanced biometric gesture recognition to detect and prevent synthetic identities and deepfakes.
Q: What is the role of GPU fusion in Brivas' technology?
A: GPU fusion in Brivas' technology accelerates sensor fusion, combining thermal maps, motion pulses, and micro-gestures to create a robust and efficient biometric verification system. This makes liveness detection more accurate and reliable.Â