SR 26-2

The Federal Reserve's SR 11-7 model risk management framework, built on deterministic model assumptions, breaks down for agentic AI systems that plan, call tools, and act through multi-step reasoning,…

The Federal Reserve's SR 11-7 model risk guidance, designed for traditional quantitative models, is inadequate for governing AI systems like LLMs, RAG pipelines, and agentic AI deployed in banking. SR…

A new pattern library for AI architecture in regulated financial services addresses constraints such as regulatory audit requirements, latency SLAs, data residency rules, fair lending exposure, and mo…