{"id":1019463,"date":"2026-11-10T11:19:18","date_gmt":"2026-11-10T16:19:18","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/trust-stamp-launches-automated-biometric-based-authorization-for-transactions-initiated-by-agentic-ai\/"},"modified":"2026-11-10T11:19:18","modified_gmt":"2026-11-10T16:19:18","slug":"trust-stamp-launches-automated-biometric-based-authorization-for-transactions-initiated-by-agentic-ai","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/trust-stamp-launches-automated-biometric-based-authorization-for-transactions-initiated-by-agentic-ai\/","title":{"rendered":"Trust Stamp launches automated biometric-based authorization for transactions initiated by Agentic-AI"},"content":{"rendered":"
\n

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<\/sup><\/i> 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. .<\/p>\n

As AI agents move from answering questions to taking actions, financial institutions are confronting a difficult question: when an agent uses a customer\u2019s credentials, how can a bank distinguish the customer\u2019s present intent from the agent\u2019s actions? In a NIST Cybersecurity Insights article, NIST\u2019s Bill Fisher and Ryan Galluzzo wrote, \u201cCredential sharing is a bad idea in all contexts,\u201d 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 \u201ctoo risky for clients and for JPMorgan.\u201d \u00a0<\/u><\/p>\n

Trust Stamp\u2019s 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\u00a0 that the account owner is present at the point that approval is requested and freely gives Knowing ConsentTM<\/sup><\/i>.<\/p>\n

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\u2019s 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<\/sup><\/i> versus identifying AI-Agents.<\/p>\n

Trust Stamp CEO, Gareth N. Genner explained: \u201cTrust Stamp\u2019s approach reflects the need for controls at the moment an AI-Agent acts. JPMorganChase has said that agent safeguards must operate \u201cat the point of execution,\u201d 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.\u00a0 The process is triggered within the institution\u2019s 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.\u201d<\/p>\n

\n Inquiries:<\/b>\n <\/p>\n

Additional information and requests for the Company\u2019s Knowing ConsentTM<\/sup><\/i> Whitepaper can be accessed at https:\/\/truststamp.ai\/solutions\/agentic-authentication<\/a>\u00a0<\/p>\n

Investor Communications: shareholders@truststamp.ai<\/a><\/p>\n

Financial Institution Inquiries: agowasack@truststamp.ai<\/a><\/p>\n

\n
\n About Trust Stamp<\/b>
\n <\/b>\n <\/p>\n

\n Trust Stamp<\/a> 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.<\/p>\n

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<\/u>).<\/p>\n

\n Safe Harbor Statement: Caution Concerning Forward-Looking Remarks\u00a0<\/b>\n <\/p>\n

All statements in this release that are not based on historical fact are \u201cforward-looking statements\u201d 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.\u00a0The 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\u2019s current views with respect to future events-based information currently available and are subject to risks and uncertainties that could cause the company\u2019s 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.<\/p>\n

\"\"
\n
\n \"\"\n <\/div>\n

<\/div>\n","protected":false},"excerpt":{"rendered":"

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\u2019s credentials, how can a bank distinguish the customer\u2019s present intent from the agent\u2019s actions? In a NIST Cybersecurity Insights article, NIST\u2019s Bill Fisher and Ryan Galluzzo wrote, \u201cCredential sharing is a bad idea in all … <\/p>\n

Continue reading “Trust Stamp launches automated biometric-based authorization for transactions initiated by Agentic-AI”<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-1019463","post","type-post","status-publish","format-standard","hentry"],"yoast_head":"\nTrust Stamp launches automated biometric-based authorization for transactions initiated by Agentic-AI - Market Newsdesk<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.marketnewsdesk.com\/index.php\/trust-stamp-launches-automated-biometric-based-authorization-for-transactions-initiated-by-agentic-ai\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Trust Stamp launches automated biometric-based authorization for transactions initiated by Agentic-AI - Market Newsdesk\" \/>\n<meta property=\"og:description\" content=\"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\u2019s credentials, how can a bank distinguish the customer\u2019s present intent from the agent\u2019s actions? 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