Treasury Releases Two New Resources to Guide AI Use in the Financial Sector | U.S. Department of the Treasury

https://home.treasury.gov/news/press-releases/sb0401
Success
Service Payment Processors 35% Third-Party Providers 30%
Specialism Operational Resilience 72% Supervision 65%
2026-02-20 16:36:48 · pdonofrio@vixio.com
ID
2889857
GUID
5638907729f283b743c7110a25d9fcf6

Classification

Service
Payment Processors (35%)

While the Treasury framework addresses AI governance in financial services broadly, it lacks specific application to payment-related operations, risk management, or compliance obligations that would clearly map to a payments taxonomy category.

Third-Party Providers (30%)

Payment processors may use AI for fraud detection and transaction monitoring, but this framework is generic financial services guidance rather than payments-specific processor oversight.

Specialism
Operational Resilience (72%)

The framework addresses AI risk management and governance in financial services, which relates to operational resilience and system robustness, though it is not explicitly tied to payment firms or payment-specific infrastructure.

Supervision (65%)

The lexicon and framework establish governance standards and risk management practices for financial institutions, which touches on supervision and oversight, though the update is primarily guidance rather than a supervisory action.

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TITLE: U.S. Department of the Treasury Releases AI Lexicon and Financial Services Risk Management Framework BODY: On February 19, 2026, the U.S. Department of the Treasury released two new resources to guide artificial intelligence (AI) use in the financial sector: a shared Artificial Intelligence Lexicon and the Financial Services AI Risk Management Framework (FS AI RMF). These resources support implementation of the President's AI Action Plan, which calls for clear standards, shared understanding, and risk-based governance to ensure AI is deployed safely and responsibly in financial services. The AI Lexicon establishes common definitions for key AI concepts, capabilities, and risk categories to enable clearer communication across regulatory, technical, legal, and business functions. This addresses challenges created by inconsistent terminology and uneven risk management practices that have hindered effective governance and oversight as financial institutions increasingly rely on AI for decision-making, customer engagement, and operational functions. The FS AI RMF adapts the National Institute of Standards and Technology (NIST) AI Risk Management Framework to address the specific operational, regulatory, and consumer protection considerations of financial services. It provides practical tools and reference materials to help institutions evaluate AI use cases, manage risks across the AI lifecycle, and embed accountability, transparency, and resilience into AI deployment decisions. The framework is designed to be scalable and flexible, supporting adoption by institutions of varying size and complexity. Both resources were developed through the Financial and Banking Information Infrastructure Committee and the Financial Services Sector Coordinating Council's Artificial Intelligence Executive Oversight Group. The Treasury will continue collaborating with federal and state regulators, industry leaders, and other stakeholders to advance responsible AI adoption and reinforce the safety and stability of the U.S. financial system.
  • ✓ Scraped:2026-02-20 16:36:48
  • ✓ Created:2026-02-20 16:36:48
  • ✓ By:pdonofrio@vixio.com (38)