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Treasury Issues AI Guidance For Financial Sector Risk Management

New resources provide voluntary guidance to help financial institutions govern and manage risks from artificial intelligence systems.

 

The U.S. Department of the Treasury released new guidance intended to help financial institutions manage risks associated with AI systems used in financial services.

The department published two resources,the Artificial Intelligence Lexicon and Financial Services AI Risk Management Framework (FS AI RMF), as part of a broader initiative to support secure and resilient AI adoption across the financial sector. The materials were developed through collaboration between the Financial and Banking Information Infrastructure Committee and the Financial Services Sector Coordinating Council’s Artificial Intelligence Executive Oversight Group (AIEOG).

According to the Treasury, the guidance is designed to give financial institutions practical tools for governing AI systems and addressing cybersecurity, operational, and data risks tied to the technology. The framework adapts existing risk management standards, including work by the National Institute of Standards and Technology (NIST), to financial-sector use cases.

The Artificial Intelligence Lexicon establishes common terminology for regulators, financial institutions, and technology providers when discussing AI systems and related risks. The Treasury said the shared vocabulary is intended to improve communication and oversight across the sector.

The FS AI RMF provides operational guidance for organizations deploying AI, including a questionnaire to assess AI adoption maturity and a matrix mapping AI risks to security and governance controls. The framework includes approximately 230 control objectives covering areas such as data governance, model oversight, cybersecurity safeguards, and third-party vendor management.

Treasury officials said the materials are the first in a series of resources to help financial institutions deploy AI safely while maintaining regulatory compliance and operational resilience.

The Treasury described the resources as voluntary guidance intended to support the risk-based governance of AI systems rather than as new regulatory requirements. The department said additional materials in the initiative will be released as part of a six-part effort to strengthen AI risk management across the financial system.

Clayton Rifkind

Clayton Rifkind is the Founder and Senior Editor of AI Risk Today. He also advises on business development for ESG Today, a leading source of ESG investment news and research for institutional investors and corporate leaders. He has 20+ years of experience in B2B technology, leading strategy and execution of go-to-market plans across software, enterprise platforms, and mobile applications. He founded two consultancies advising startups and Fortune 1000 companies, including Autodesk, Intel, and Microsoft. He began his career in the San Francisco advertising scene working with brands such as Hewlett-Packard, Intel, Microsoft, Symantec, and Wells Fargo. Clayton launched AI Risk Today in 2025 after two decades of watching enterprises adopt transformative technologies, and seeing how often risk, governance, and compliance considerations lagged behind. His reporting draws on primary sources including regulatory filings, court documents, and official announcements, with a focus on what AI developments mean for the executives accountable for managing them. Reach him at Reach him at [email protected] or on LinkedIn.

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