Most financial sector AI guidance has been principles-based. The Treasury’s February 19 release takes a different approach. The Treasury press release describes two specific documents: an Artificial Intelligence Lexicon and a Financial Services AI Risk Management Framework (FS AI RMF) designed to work alongside existing financial institution risk management infrastructure.
The AI Lexicon addresses a foundational problem in financial sector AI governance: inconsistent terminology across institutions, regulators, and vendors. It establishes common definitions for key AI concepts, capabilities, and risk categories, a prerequisite for consistent risk communication in examinations, audits, and vendor assessments.
The FS AI RMF goes further than definition-setting. According to legal analysis from Krieg DeVault, the framework includes an AI adoption questionnaire and a risk and control matrix for evaluating AI use cases across the full AI lifecycle. The framework aligns with and adapts the NIST AI Risk Management Framework to financial sector conditions.
Third-party AI risk management receives dedicated attention within the FS AI RMF, including data provenance due diligence requirements, according to legal analysis of the framework. For financial institutions that rely on vendor-provided AI systems, which is most of them, this is the operationally significant provision.
According to legal analysts covering the release, the Lexicon and FS AI RMF are the first in a planned series of Treasury AI resources for the financial sector. What follows in that series will shape how comprehensively federal guidance covers the sector.
This resource was released February 19, 2026 and is available now. Financial sector compliance teams who have not yet reviewed it should treat it as current regulatory context for AI governance program design.