Trust Stamp announces a patent filing for a groundbreaking AI-powered facial recognition technology
January 04 2024 - 9:30AM
Trust Stamp (Nasdaq: IDAI), the Privacy-First Identity CompanyTM,
providing AI-powered trust and identity services, has announced the
filing of a provisional patent application for its new
Stable IT2TM technology.
Stable IT2 is a groundbreaking facial recognition technology
designed for identity authentication, secure system access, and
account protection. It uses a cryptographic token generated from a
user’s facial biometrics to respond to cryptographic challenges and
authenticate messages, enhancing security and user control over
personal information.
At registration, Trust Stamp’s binding process combines a
cryptographic key and biometric information to produce sketch and
helper data that can be stored anywhere, including on edge wallets,
mobile devices, or a distributed ledger. The ultra-secure
feature of Stable IT2 is that even in verification, neither the
secret nor the biometric about the user is revealed.
During the authentication process, the system does not compare
raw biometric data or biometric templates. Instead, it matches the
tokenized representations, ensuring that biometric data is never
exposed or stored. This tokenized matching is not only secure but
also highly efficient, providing quick and accurate identity
verification thereby reducing the risk of account takeover by
attackers.
Dr Norman Poh, Trust Stamp’s Chief Science Officer commented,
"When a company adopts Stable IT2, Trust Stamp's technology
integrates into the back-end of their existing systems to overhaul
the facial recognition process. During the process, a user's facial
image is captured – typically via a selfie, and the image is then
converted into a Stable IT2 token using Trust Stamp’s proprietary
algorithm. This token, a complex cryptographic representation of
the user's facial data, is used for all subsequent identity
verifications. During the authentication process, the system does
not compare raw biometric data or traditional templates. Instead,
it matches the tokenized representations, ensuring that the actual
biometric data is never exposed or stored. This tokenized matching
is not only secure but also highly efficient, providing quick and
accurate identity verification”.
The Stable IT2 represents a user-centric approach to biometric
authentication, keeping control of personal data in the hands of
the user and requiring explicit consent for use, aligning with core
user-privacy and data minimization and protection principles.
By replacing the back-end processes of traditional facial
recognition with a tokenized matching system, Stable IT2 sets a new
standard in the field of biometric authentication.
Enquiries:
Trust Stamp
Email: Shareholders@truststamp.ai
Norman Poh, Chief Science Officer
About Trust Stamp
Trust Stamp the Privacy-First Identity CompanyTM, is a global
provider of AI-powered identity services for use in multiple
sectors, including banking and finance, regulatory compliance,
government, real estate, communications, and humanitarian services.
Its technology empowers organizations with advanced biometric
identity solutions that reduce fraud, protect personal data
privacy, increase operational efficiency, and reach a broader base
of users worldwide through its unique data transformation and
comparison capabilities.
Located across North America, Europe, Asia, and Africa, Trust
Stamp trades on the Nasdaq Capital Market (Nasdaq: IDAI). The
company was founded in 2016 by Gareth Genner and Andrew
Gowasack.
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Forward-Looking Remarks
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fact are “forward-looking statements” including within the meaning
of the Private Securities Litigation Reform Act of 1995 and the
provisions of Section 27A of the Securities Act of 1933, as
amended, and Section 21E of the Securities Exchange Act of 1934, as
amended. The information in this announcement may contain
forward-looking statements and information related to, among other
things, the company, its business plan and strategy, and its
industry. These statements reflect management’s current views with
respect to future events-based information currently available and
are subject to risks and uncertainties that could cause the
company’s actual results to differ materially from those contained
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