Obligation guide
What is AI Risk Management?
Required by 6 regulations across 5 states and jurisdictions in our database.
Definition
AI risk management is an ongoing program that identifies, ranks, and treats risks from AI systems. It borrows from privacy and security programs but focuses on model behavior, oversight, and vendor reliance rather than only data breach scenarios.
See also our AI compliance glossary for short definitions of common terms.
Related glossary entries
Which regulations require this
- Colorado AI Act (SB 24-205)
Requires developers and deployers of high-risk AI systems to use reasonable care to protect consumers from algorithmi...
COAI-specificHighUpcoming - California Transparency in Frontier AI Act (SB 53)
Requires developers of frontier AI models trained above the compute threshold set in statute (very large scale) to pu...
CAAI-specificHighIn effect - New York Responsible AI Safety and Education Act (RAISE Act, A 9449)
Requires developers of frontier AI models operating in New York to implement safety protocols, conduct impact assessm...
NYAI-specificMediumUpcoming - Texas Responsible AI Governance Act (RAIGA)
Prohibits development and deployment of AI systems for behavioral manipulation, unlawful discrimination, and certain...
TXAI-specificLowIn effect - Montana Right to Compute Act (SB 212)
Declares a strong default in favor of owning and using computational resources and limits government interference to...
MTAI-specificLowIn effect - NIST AI Risk Management Framework (AI RMF 1.0)
NIST AI RMF is a voluntary framework used as a practical benchmark by regulators and lawmakers. Following it can supp...
FEDERALFederalLowIn effect
Which states reference this obligation
What you should do next
- Maintain a living register of models, owners, data classes, and deployment regions.
- Score each system for legal, safety, and reputational impact.
- Assign mitigations with dates, such as extra testing, human review, or vendor terms.
- Review the register quarterly or when acquisitions and launches shift your footprint.
- Tie executive reporting to the same metrics you would show a board audit committee.
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