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It supports effective use of the AI Adoption Stage Questionnaire and the Risk and Control Matrix (RCM), enabling structured risk identification, assessment, and mitigation across AI adoption and use. The Guidebook incorporates sector-specific considerations and aligns with global standards, guidelines, and supervisory expectations, helping organizations embed responsible AI practices within existing governance, risk, and compliance programs.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":11,"@type":70,"position":76},"https://docshare.wps.com/template/presentations/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/cri-financial-services-ai-risk-management-framework-guidebook-version-10/165911/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/cri-financial-services-ai-risk-management-framework-guidebook-version-10/165911.png","ImageObject",442,249,{"name":88,"@type":89},"Bill Black","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/vnd.openxmlformats-officedocument.wordprocessingml.document","2026-09-19","2026-08-31",true,{"@type":98,"interactionType":99,"userInteractionCount":73},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What is the purpose of the FS AI RMF Guidebook?","Question",{"text":108,"@type":109},"The Guidebook provides comprehensive guidance for implementing the FS AI RMF, including how to navigate the AI Adoption Stage Questionnaire and the Risk and Control Matrix (RCM). It supports risk identification, assessment, and mitigation related to AI adoption and use.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"How was the FS AI RMF developed and what inputs were used?",{"text":113,"@type":109},"It was developed through public-private collaboration involving 108 financial institutions and input and feedback from U.S. and international agencies, including NIST. The consolidated approach is designed to help organizations identify, evaluate, manage, and govern AI risks effectively.",{"name":115,"@type":106,"acceptedAnswer":116},"Does the FS AI RMF replace existing risk management frameworks or standards?",{"text":117,"@type":109},"No. The Framework is designed as a universal complement to existing risk management policies and practices, rather than an all-inclusive repository or a replacement. It connects logically to enterprise governance, risk, and compliance programs.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},165911,1788178516,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":8,"category_name":11,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":73,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":135,"language":136,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":137,"faqs":138,"seo_title":139,"seo_description":61,"update_tm":125,"read_time":140},24189269381491,"https://ap-avatar.wpscdn.com/avatar/160000cf11732dd8392?x-image-process=image/resize,m_fixed,w_180,h_180&k=1788146458752108895","The CRI Financial Services \u000bAI Risk Management Framework \u000bVersion 1.0\nGuidebook\nFebruary 2026\nDeveloped in collaboration with the Financial Services Sector Coordinating Council and the U.S. Department of the Treasury\nCyber Risk Institute\u000bWashington, D.C.\n\u0013 HYPERLINK \"http://www.cyberriskinstitute.org/\" \u0014CyberRiskInstitute.org\u000f\u0015\n\u0013 TOC \\o \"1-2\" \\h \\z \u0014\n\u000f\n\u0015ABOUT THE CYBER RISK INSTITUTE\nThe Cyber Risk Institute (CRI) is a non-profit coalition of financial institutions and trade associations dedicated to advancing the development and harmonization of cybersecurity, technology, and artificial intelligence (AI) risk management standards. CRI is committed to providing practical, industry-driven solutions for emerging risks, including AI, and leverages its expertise in cyber and technology risk management as a solid foundation for AI governance and risk management.\nBy providing clear guidance and support, CRI assists organizations in mitigating new and emerging threats while enhancing risk practices across the financial sector. Building on CRI's existing work in standardization and simplification, including the Profile and Cloud Profile, CRI is proud to deliver the Financial Services Artificial Intelligence Risk Management Framework (hereinafter referred to as the “FS AI RMF” or “the Framework”).\n\u0013 TOC \\o \"1-2\" \\h \\z \u0014\n\u0015ABOUT THE FS AI RMF\nThe FS AI RMF was developed through public-private collaboration involving a diverse group of 108 financial institutions, including community banks, credit unions, national and multinational banks, investment firms, insurance companies, and trade associations under the Financial Services Sector Coordinating Council (FSSCC). Additionally, U.S. and international agencies, most notably the National Institute of Standards and Technology (NIST), provided input and feedback. This industry-backed, consolidated approach is designed to help organizations of all types and sizes effectively identify, evaluate, manage, and govern AI risks. It aims to operationalize a comprehensive risk management framework tailored specifically for financial services, promoting efficiency and innovation while harnessing the potential of AI both strategically and responsibly.\n\u0013 TOC \\o \"1-2\" \\h \\z \u0014\n\u0015Alignment with Existing Risk Management Functions\nThe FS AI RMF is designed to be a universal complement to an organization’s existing risk management policies and practices. It does not replace existing frameworks, serve as an all-inclusive repository of risks and controls, or prescribe specific use-case or role-specific guidance. That said, CRI recognizes AI as an enterprise risk. Therefore, the Framework is designed to logically connect to broader enterprise governance, risk, and compliance programs, supporting integrated risk assessments, aggregation, prioritization, and mitigation efforts.\n\u0013 TOC \\o \"1-2\" \\h \\z \u0014\n\u0015Alignment with Existing Frameworks, Standards, and Regulatory Guidance\nStructurally aligned with the NIST AI Risk Management Framework (hereinafter referred to as the “NIST AI RMF”), the FS AI RMF synthesizes insights from multiple global regulations, standards, official guidance, and supervisory provisions. It expands upon NIST’s pre-existing Functions, Categories, and Sub-Categories through 230 Control Objectives that support organizations at various stages of AI adoption. Rather than replacing or restructuring current standards, it extends them within a financial sector context, facilitating harmonization of standards and regulations globally.\nDesigned to be adaptable and scalable, the FS AI RMF incorporates clear risk definitions, staged AI adoption levels, and comprehensive Control Objectives. This approach enables financial institutions to harness AI’s transformative potential responsibly—driving industry progress while safeguarding the integrity of the financial ecosystem.\n\u000f\nABSTRACT\nThis Guidebook provides financial services organizations with comprehensive guidance for implementing CRI’s FS AI RMF. It serves as","cbCaitSXXsiOftVY","https://ap.wps.com/l/cbCaitSXXsiOftVY","docx",1865876,75,"English","# Update Schedule and Versions\n# Introduction\n## Background and Motivation\n## Purpose and Benefits\n## Audience\n## Scope\n# FS AI RM","[{\"question\":\"What is the purpose of the FS AI RMF Guidebook?\",\"answer\":\"The Guidebook provides comprehensive guidance for implementing the FS AI RMF, including how to navigate the AI Adoption Stage Questionnaire and the Risk and Control Matrix (RCM). It supports risk identification, assessment, and mitigation related to AI adoption and use.\"},{\"question\":\"How was the FS AI RMF developed and what inputs were used?\",\"answer\":\"It was developed through public-private collaboration involving 108 financial institutions and input and feedback from U.S. and international agencies, including NIST. The consolidated approach is designed to help organizations identify, evaluate, manage, and govern AI risks effectively.\"},{\"question\":\"Does the FS AI RMF replace existing risk management frameworks or standards?\",\"answer\":\"No. The Framework is designed as a universal complement to existing risk management policies and practices, rather than an all-inclusive repository or a replacement. It connects logically to enterprise governance, risk, and compliance programs.\"}]","CRI Financial Services AI Risk Management Framework - Guidebook - Version 1.0 | DOCX",26]