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.

Which regulations require this

Which states reference this obligation

CACOFEDERALMTNYTX

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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