Trust Stamp  the Privacy-First Identity Company providing artificial intelligence (AI)-powered trust and identity services used globally across multiple sectors, announces that it has received a Notice of Allowance for its latest patent application #17/230,684 by the United States Patent Office.  The ‘684 application is directed to Trust Stamp’s innovative processes for irreversibly transforming biometric and other identity data into an irreversibly transformed identity token or “(IT)².”  Trust Stamp believes this technology provides an unparalleled level of data protection, while improving the efficiency and expanding the utility of legacy identity systems.

Trust Stamp believes its privacy-first technology is unique in that it replaces the storage and use of biometric templates with an irreversibly transformed identity token (IT)² generated by a neural network. The AI processes used include image segmentation utilizing deep learning. The use of AI allows Trust Stamp to provide users with the benefits of biometric-derived authentication without losing control of or sharing their original biometric data. The (IT)² cannot be reverse-transformed to recover the original data and thus offers a privacy-protecting methodology to enjoy the benefits of biometric-based authentication without the dangers of storing biometric templates.

This patent builds upon prior patent grants protecting the (IT)² technology.

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The patent is also directed to:

• Collecting multiple modalities of biometrics using touchless technology;

• Converting multiple modalities of biometric and non-biometric data into a fixed-size representation allowing them to be compared for matching and deduplication using a similarity metric; and

• Combining multiple biometric modalities (e.g., face, finger, iris, speech, and palm biometrics) with other non-biometric data (e.g., SSN, user device identification data, driver’s license #, date of birth, and medical data) to produce a multi-factor authentication that provides greater accuracy than any single biometric modality;

Trust Stamp CEO, Gareth N. Genner comments, “This will be our fourteenth issued patent, and we have an additional 19 patent applications pending. We’re proud to be at the forefront of using AI for these types of applications, this patent contributes to an overall depth of technology innovation that allows us to deliver identity and trust-focused solutions that place privacy first. Our innovative technology can be implemented ‘on the edge,’ meaning that it can operate on devices that may not have internet or other ways to access server resources which allows the creation of privacy-first applications where the user’s biometrics never leave their own device, as well as use in remote locations that do not have Internet or other data services available to the user.”

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