References
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AI Risk Ontology (ai-atlas-nexus) checked by automation only
IBM’s AI Risk Ontology from the ai-atlas-nexus project: the LinkML schema that joins an AI risk view (taxonomies, risks, actions) and an AI model view (AI systems, models, evaluations), and that all AI-LinkMO data, endpoints and CLI parameters align to. -
EU Artificial Intelligence Act checked by automation only
Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence, indexed by article via the AI Act Explorer. -
FFIEC IT Examination Handbook checked by automation only
The Federal Financial Institutions Examination Council’s Information Technology Examination Handbook. -
FINOS AI Governance Framework checked by automation only
The FINOS AI Governance Framework: risk register, mitigation catalogue and use-case library for AI in financial services. -
ISO/IEC 42001 checked by automation only
ISO/IEC 42001 - Artificial intelligence management system standard (Annex A controls). -
NIST AI 600-1 (Generative AI Profile) checked by automation only
NIST AI 600-1, the Generative Artificial Intelligence Profile companion to the NIST AI Risk Management Framework. -
NIST AI Risk Management Framework checked by automation only
NIST AI RMF (AI 100-1) - the risk-management framework whose GOVERN/MAP/MEASURE/MANAGE actions anchor the repository’s crosswalks. -
NIST SP 800-53 Revision 5 checked by automation only
NIST Special Publication 800-53 rev. 5 - Security and Privacy Controls for Information Systems and Organizations. -
OWASP ML Security Top 10 checked by automation only, still a draft
The OWASP Machine Learning Security Top 10 risks. -
OWASP Top 10 for LLM Applications checked by automation only
The OWASP Top 10 security risks for Large Language Model applications, published by the OWASP GenAI Security Project. -
SR 11-7: Guidance on Model Risk Management checked by automation only, still a draft
Federal Reserve supervisory letter SR 11-7 on model risk management, superseded by SR 26-2 on 2026-04-17.