SR 11-7 is gone. On April 17, 2026, federal banking agencies replaced it with SR 26-2 — a principles-based model risk framework that eliminates annual revalidation cycles and introduces formal materiality tiering. Here is what changed and what banks must do now.
SR 26-2 supersedes SR 11-7 but carves out generative and agentic AI. Here is how U.S. bank compliance and technology leaders build governance that covers the full AI stack.
The Treasury's FS AI RMF translates NIST AI RMF into 230 control objectives for banks. Here's how to apply the four core functions — GOVERN, MAP, MEASURE, MANAGE — inside a regulated financial institution.
The AI compliance perimeter for U.S. fintech companies expanded sharply in 2026. Here is what the Treasury FS AI RMF, CFPB fair lending rules, and NYDFS cybersecurity regulation mean for your compliance program.
A practical guide to the four AI applications reshaping U.S. banking — fraud detection, credit scoring, AML/BSA, and chatbots — and the specific regulatory requirements each one triggers.
The April 2026 revised model risk guidance excludes generative AI — here is how banks should govern LLM deployments, manage hallucination risk, and build audit trails before examiners arrive.
Microsoft Copilot for Finance is already live in most bank Microsoft 365 tenants. Here is what compliance and technology leaders must configure before the next examiner visit.
SR 26-2 replaced SR 11-7 in April 2026. Here is what financial services technology leaders need to know about building a model risk management framework that meets the new risk-based, materiality-driven standard.
SR 11-7 was replaced by SR 26-2 in April 2026. This complete guide covers what changed, what stayed the same, and the AI governance gap that banks must address now.
