FRAMEWORK CATALOG
Start with the frameworks most organizations encounter.
Each module preserves source identity, intended use, authority, scope, lifecycle coverage, evidence expectations, relationships, known limitations, and TA-14 implementation pathways.
01Foundation module
NIST AI RMF
NIST AI Risk Management Framework
National Institute of Standards and Technology
Voluntary framework
A structured approach for identifying, measuring, managing, and governing risks associated with artificial intelligence systems.
GovernMapMeasureManage
Open framework module→02Foundation module
AI Verify
AI Verify
Infocomm Media Development Authority of Singapore
Testing and governance framework
A testing-oriented governance framework that connects responsible AI principles with technical tests, process checks, and evidence.
TestingProcess reviewEvidenceReporting
Open framework module→03Catalog module
RAI
Responsible AI Frameworks
Multiple organizations
Organization-defined frameworks
A family of governance approaches that organize principles, policies, controls, reviews, and accountability around responsible AI development and use.
AccountabilityFairnessTransparencySafety
Open framework module→04Catalog module
AI Risk
Enterprise AI Risk Frameworks
Organizations and assurance bodies
Internal or advisory framework
Enterprise structures that connect AI inventories, ownership, risk classification, controls, monitoring, incidents, and executive oversight.
InventoryRisk tiersControlsMonitoring
Open framework module→