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Trust Stamp launches automated biometric-based authorization for transactions initiated by Agentic-AI

Trust Stamp (Nasdaq: IDAI) launched a biometric authorization product for obtaining human consent to financial transactions initiated by AI agents.

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AI

Trust Stamp (Nasdaq: IDAI) launched a biometric authorization product for obtaining human consent to financial transactions initiated by AI agents. The product is ready for immediate use and combines processes protected by issued patents with a new process being patented.

Customers first register biometrically to create a personal identity token, then provide a secure selfie for subsequent approval requests. The process uses proof-of-life and anti-spoofing checks. Trust Stamp says financial institutions can implement the authorization through its Orchestration Layer or a single API call in a matter of days, within their own access and transaction policies.

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News Explained

For the launched product, Trust Stamp says an integrated deployment should show the specific action and relevant details before verification; the customer’s live biometric approval is tied to that request, rather than stored credentials or earlier permission alone serving as proof of consent.

Key Figures

Financial institutions integrated: Over one hundred
Financial institutions integrated
Over one hundred
Integrated to Trust Stamp’s Orchestration Layer

Key Terms

biometric, anti-spoofing, api
3 terms
biometric technical
"biometric registration to create a personal identity token"
Biometric describes measurements of unique physical or behavioral traits—like fingerprints, face shape, voice, or the way someone types—used to identify or verify a person. For investors, biometrics matter because they underpin products and services that promise stronger security or convenience, create new market opportunities, and raise regulatory and privacy risks that can affect a company’s costs, customer trust, and long-term value.
anti-spoofing technical
"Proof-of-life and anti-spoofing checks"
The practice of placing buy or sell orders with the intent to create a false impression of supply, demand or price movement, then cancelling or not intending to execute those orders before they trade; it is a form of market manipulation and is prohibited by market rules and securities laws. Anti-spoofing also describes surveillance systems and rules designed to detect and prevent this behavior; whether a cancelled order is unlawful spoofing depends on the trader's deceptive intent rather than mere order cancellation, and similar tactics (e.g., “layering”) fall under the same concept.
api technical
"through a single API call"
An API, or Application Programming Interface, is a set of rules that allows different software programs to communicate and work together smoothly, much like a waiter translating your order into the kitchen and then bringing your meal back. For investors, APIs are important because they enable real-time access to financial data, trading systems, and other digital services, making it easier to make informed decisions quickly and efficiently.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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ATLANTA, GA , Nov. 10, 2026 (GLOBE NEWSWIRE) -- Trust Stamp (Nasdaq: IDAI), a global provider of AI-powered trust, identity, and security solutions, today announced a new product ensuring Knowing ConsentTM for transactions initiated by Agentic-AI. The product utilizes proprietary processes protected by existing issued patents together with a new process that is being patented and is ready for immediate use. .

As AI agents move from answering questions to taking actions, financial institutions are confronting a difficult question: when an agent uses a customer’s credentials, how can a bank distinguish the customer’s present intent from the agent’s actions? In a NIST Cybersecurity Insights article, NIST’s Bill Fisher and Ryan Galluzzo wrote, “Credential sharing is a bad idea in all contexts,” warning that it can create accountability gaps. Recent bank responses show the issue is already practical: Reuters reported that major U.S. banks are blocking some third-party agents from customer accounts. JPMorgan Chase CEO Jamie Dimon described unrestricted outside agents as “too risky for clients and for JPMorgan.”  

Trust Stamp’s agentic-authorization distinguishes an AI-Agent initiating a request from the human account owner and ensures that the account holder consents to each transaction in a fast, low friction process. The authorization flow can be initiated by the AI-Agent or the financial institution. On first use, the customer completes biometric registration to create a personal identity token. For subsequent requests, the customer can be prompted to complete a secure selfie through SMS, email, push-notification or in the relevant software application. Proof-of-life and anti-spoofing checks, with optional device verification and other authentication protocols, ensure  that the account owner is present at the point that approval is requested and freely gives Knowing ConsentTM.

The distinction matters when an AI-Agent has been given broad access in advance, or when its behavior is changed by error or manipulation. A stored password or earlier permission should not, by itself, be treated as proof that the customer knowingly approved a particular financial action. In an integrated deployment, the authorization screen should show the specific action and relevant details before the customer completes the live verification. The AI-Agent can then initiate the workflow, while the customer’s fresh approval is tied to the specific request being considered. Our approach is human-centered, identifying the human customer and ensuring that they give Knowing ConsentTM versus identifying AI-Agents.

Trust Stamp CEO, Gareth N. Genner explained: “Trust Stamp’s approach reflects the need for controls at the moment an AI-Agent acts. JPMorganChase has said that agent safeguards must operate “at the point of execution,” while RBC says third-party agents may store customer passwords and has therefore blocked their direct access to authenticated online banking. Trust Stamp has over one hundred financial institutions integrated to our Orchestration Layer and this biometric-based authorization provides a way to add a live, customer-centered approval step to Agent-Initiated activity that can be implemented in a matter of days, either via the Orchestration Layer or through a single API call.  The process is triggered within the institution’s own access and transaction policies, and with no significant changes to the flow of their authentication process. While there are multiple theoretical proposals in the media focused on Agent-Identity, these human-centered processes already exist and are proven to be effective.”

Inquiries:

Additional information and requests for the Company’s Knowing ConsentTM Whitepaper can be accessed at https://truststamp.ai/solutions/agentic-authentication 

Investor Communications: shareholders@truststamp.ai

Financial Institution Inquiries: agowasack@truststamp.ai

About Trust Stamp

Trust Stamp is a global provider of AI-powered services for use in multiple sectors including banking and finance, regulatory compliance, government, healthcare, real estate, communications, and humanitarian services. Its technology empowers organizations via advanced solutions that reduce fraud, tokenize and secure assets and data and securely authenticate users while protecting personal privacy, reduce friction in digital transactions, and increase operational efficiency, enabling customers to accelerate secure financial inclusion and reach and serve a broader base of users worldwide.

With team members from over twenty nationalities in ten countries across North America, Europe, Asia, and Africa, Trust Stamp trades on the Nasdaq Capital Market (Nasdaq: IDAI).

Safe Harbor Statement: Caution Concerning Forward-Looking Remarks 

All statements in this release that are not based on historical 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 in the forward-looking statements. Investors are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date on which they are made. The company does not undertake any obligation to revise or update these forward-looking statements to reflect events or circumstances after such date or to reflect the occurrence of unanticipated events.


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