{"id":189188,"date":"2026-02-20T12:08:00","date_gmt":"2026-02-20T17:08:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/02\/20\/us-treasury-department-offers-secure-ai-advice-to-financial-services-firms\/"},"modified":"2026-02-20T12:10:08","modified_gmt":"2026-02-20T17:10:08","slug":"us-treasury-department-offers-secure-ai-advice-to-financial-services-firms","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/02\/20\/us-treasury-department-offers-secure-ai-advice-to-financial-services-firms\/","title":{"rendered":"US Treasury Department offers secure AI advice to financial-services firms"},"content":{"rendered":"

US Treasury Department offers secure AI advice to financial-services firms<\/a><\/p>\n

https:\/\/www.cybersecuritydive.com\/news\/treasury-department-ai-security-guidance-financial-services\/812700\/<\/a><\/p>\n

Publish Date: 2026-02-20 12:08:00<\/a><\/p>\n

Source Domain: www.cybersecuritydive.com<\/a><\/p>\n

Author: <\/a><\/p>\n

Using an unordered list, summarize the following article with between 4 and 8 key points. <\/p>\n

The U.S. Treasury Department has begun releasing guidance meant to help financial services companies securely use artificial intelligence while adhering to regulatory obligations.
\n\u201cTreasury will release a series of six resources developed in partnership with industry and federal and state regulatory partners to enable secure and resilient AI across the U.S. financial system,\u201d the agency said on Wednesday.
\nOn Thursday, Treasury released the first two resources in the series: an AI lexicon defining key terms \u2014 \u201cwith a focus on frequently used terms that have a specific meaning in the context of AI use in the financial sector\u201d \u2014 and a version of the National Institute of Standards and Technology\u2019s AI Risk Management Framework focused on the financial-services sector. The latter publication contains a questionnaire to gauge companies\u2019 AI maturity, a matrix linking AI-related risks to available security controls and guidance for implementing those controls.<\/p>\n

Treasury said the resources are the result of consultations between state and federal regulators, financial executives and \u201cother key stakeholders\u201d as part of the department\u2019s Artificial Intelligence Executive Oversight Group (AIEOG). The financial-services sector\u2019s coordinating council partnered with a similar body to create the group.
\nCory Wilson, Treasury\u2019s deputy assistant secretary for cybersecurity and critical infrastructure protection, said the resources would focus on helping small and medium-sized financial institutions \u201charness the power of AI to strengthen cyber defenses and deploy AI more securely.\u201d
\nAIEOG members tackled several different work streams \u2014 including governance, fraud prevention, identity management and transparency \u2014 that will inform Treasury\u2019s guidance.
\n\u201cBy focusing on practical implementation rather than prescriptive requirements,\u201d Treasury said, \u201cthe resources are intended to help financial institutions adopt AI more confidently and securely, strengthening resilience and cybersecurity while supporting innovation across the sector.\u201d
\nMeeting a growing and risky demand
\nTreasury\u2019s resources are intended to meet the financial-services sector\u2019s growing hunger for AI automation.
\nBanks want to use AI to improve fraud prevention, insurers want to use it to evaluate risk and securities markets want to use it to analyze transactions. Roughly one-third of the work that capital markets, insurers and banks perform \u201chas high potential to be fully automated\u201d by AI, according to a January 2025 World Economic Forum report.<\/p>\n

But the technology also poses serious dangers. Faulty AI models could leak sensitive financial data, and biased models could perpetuate systemic discrimination. AI aberrations could also quickly destabilize fast-paced, interconnected markets. The trend of many institutions using the same AI models could produce \u201csynchronized market movements and amplified volatility patterns that extend beyond traditional algorithmic trading risks,\u201d the RAND Corporation said in a September 2025 report. \u201cThe situation becomes more complex as AI systems advance in sophistication, potentially developing behaviors that prove difficult to predict or effectively audit.\u201d
\nThe RAND report noted that \u201cregulators face the challenging task of monitoring and assessing these systems\u2019 collective behavior.\u201d But, according to an October 2025 report from the G20\u2019s Financial Stability Board, few regulators are aggressively overseeing financial industries\u2019 use of AI \u2014 in many cases because they lack the capacity or expertise to do so.<\/p>\n

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

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