PR#1331 — Merge main into staging

.github/workflows/validate-docs-site.yaml

@@ -200,7 +200,7 @@ jobs:
       run: |
         test -f site/llm/_llm-output/chatbot-product-map.md
         test -f site/llm/_llm-output/AGENTS.md
-        test -f site/llm/_llm-output/about/contributing/using-the-documentation.md
+        test -f site/llm/_llm-output/about/using-the-documentation.md
         test ! -f site/llm/_llm-output/about/contributing/validmind-community.md
         test ! -d site/llm/_llm-output/about/contributing/style-guide
 

AGENTS.md

@@ -6,7 +6,7 @@ This repository contains the source files for [ValidMind's documentation site](h
 
 For an overview of the documentation structure and how to navigate it, see:
 
-**[Using the documentation](https://docs.validmind.ai/about/contributing/using-the-documentation.html)**
+**[Using the documentation](https://docs.validmind.ai/about/using-the-documentation.html)**
 
 This page explains:
 - How the documentation is organized

site/_quarto.yml

@@ -95,7 +95,7 @@ website:
         - text: "Model risk management"
           file: about/use-cases/model-risk-management.qmd
           contents:
-          - about/use-cases/sr-11-7.qmd
+          - about/use-cases/sr-26-2.qmd
           - about/use-cases/ss1-23.qmd
           - about/use-cases/e-23.qmd
         - text: "---"
@@ -125,7 +125,7 @@ website:
         - text: "Software license agreement"
           file: about/fine-print/license-agreement.qmd
         - text: "---"
-        - about/contributing/using-the-documentation.qmd
+        - about/using-the-documentation.qmd
 
     - title: "Support"
       contents:

site/about/contributing/style-guide/conventions.qmd

@@ -359,7 +359,7 @@ Use backticks to enclose keyboard commands, parameters, field values, and file n
 : **Mathematical formula** examples {.hover}
 
 ## Proper nouns
-In the context of model risk management, proper nouns include specific models, laws, or regulations, such as "Basel IV" or "SR 11-7." These refer to specific frameworks or guidelines and you spell them with initial capital letters or exactly as indicated by official sources.
+In the context of model risk management, proper nouns include specific models, laws, or regulations, such as "Basel IV" or "SR 26-2." These refer to specific frameworks or guidelines and you spell them with initial capital letters or exactly as indicated by official sources.
 
 - Terms that are not proper nouns include general concepts such as "model validation," "stress testing," "risk assessment," and "backtesting." 
 - These are common terms in the field and are not capitalized unless starting a sentence.

site/about/glossary/_models.qmd

@@ -5,7 +5,7 @@ SPDX-License-Identifier: AGPL-3.0 AND ValidMind Commercial -->
 #### Models
 
 model
-: SR 11-7^[[SR 11-7: Guidance on Model Risk Management](https://www.federalreserve.gov/supervisionreg/srletters/sr1107.htm)] defines a model as a "quantitative method, system, or approach that applies statistical, economic, financial, or mathematical theories, techniques, and assumptions to process input data into quantitative estimates."
+: Under SR 26-2^[[SR 26-2: Interagency Guidance on Model Risk Management for Banking Organizations](https://www.federalreserve.gov/supervisionreg/srletters/SR2602.htm)] (which supersedes SR 11-7), banking organizations focus MRM on *complex quantitative methods* that apply statistical, economic, or financial theories, techniques, and assumptions to produce estimates or inferences that inform business decisions. Simple arithmetic, purely deterministic rules without substantive quantitative theory, or software that does not apply such theories are generally outside the guidance’s model definition.
 
 model development
 : An iterative process in which many models are derived, tested, and built upon until a model fitting the desired criteria is achieved.

site/about/overview-model-documentation.qmd

@@ -144,7 +144,7 @@ How the {{< var validmind.developer >}} works:
 
 <!-- FOOTNOTES -->
 
-[^1]: [Model risk management](overview-model-risk-management.qmd)
+[^1]: [Model risk management](use-cases/model-risk-management.qmd)
 
 [^2]: [Supported records and frameworks](/developer/supported-records-and-frameworks.qmd)
 

site/about/use-cases/eu-ai-act.qmd

@@ -28,7 +28,7 @@ The EU AI Act categorizes AI systems by risk level:
 
 ### Harmonization with other standards
 
-The EU AI Act requirements overlap with existing model risk management frameworks. Organizations already following SR 11-7, SS1/23, or E-23 can  leverage existing documentation and controls but must also comply with the EU AI Act requirements.
+The EU AI Act requirements overlap with existing model risk management frameworks. Organizations already following SR 26-2, SS1/23, or E-23 can  leverage existing documentation and controls but must also comply with the EU AI Act requirements.
 
 ## 1. Risk management system implementation (Article 9)
 

site/about/use-cases/model-risk-management.qmd

@@ -4,6 +4,9 @@
 # SPDX-License-Identifier: AGPL-3.0 AND ValidMind Commercial
 title: "Model risk management"
 date: last-modified
+aliases:
+  - /about/overview-model-risk-management.html
+  - /guide/overview-model-risk-management.html
 listing:
   id: quickstart
   type: grid
@@ -126,19 +129,19 @@ Lifecycle
 
 {{< var vm.product >}} is designed to help organizations comply with MRM regulatory requirements:
 
-### SR 11-7 (United States)
+### SR 26-2 (United States)
 
 :::: {.columns}
 
 ::: {.column width="70%" .pr3}
 
-The Supervisory Guidance on model risk management was issued by the Board of Governors of the Federal Reserve System and the Office of the Comptroller of the Currency. It provides comprehensive guidance on designing and maintaining a robust MRM framework.
+*Interagency Guidance on Model Risk Management for Banking Organizations* was issued jointly by the Board of Governors of the Federal Reserve System, the Federal Deposit Insurance Corporation, and the Office of the Comptroller of the Currency. It supersedes SR 11-7 and sets expectations for a risk-based MRM program — including a narrowed model definition, materiality-based tiering, strong ongoing monitoring and outcomes analysis, and a comprehensive enterprise inventory.
 
 :::
 
 ::: {.column width="30%" .pl3}
 
-[SR 11-7 implementation guide](sr-11-7.qmd){.button}
+[SR 26-2 implementation guide](sr-26-2.qmd){.button}
 
 :::