Compliance & Regulatory
AI Compliance
Meeting regulatory and standards requirements related to the use of AI within an organization.
AI compliance refers to an organization's adherence to laws, regulations, and standards that govern AI usage. The regulatory landscape is evolving rapidly:
- EU AI Act: The world's first comprehensive AI regulation, requiring risk assessment, transparency, and human oversight for AI systems
- NIST AI RMF: A voluntary framework providing structure for AI risk management (increasingly referenced by US regulators)
- ISO/IEC 42001: The international standard for AI management systems
- SEC guidance: Requirements for financial firms to disclose and manage AI-related risks
- HIPAA: Existing healthcare privacy rules that apply when AI tools process protected health information
- State-level laws: Colorado AI Act, NYC Local Law 144, and others imposing AI-specific requirements
Compliance requires not just following the rules, but being able to prove it — which means documentation, audit trails, and evidence of oversight.
Why it matters
Non-compliance penalties are real and growing. The EU AI Act imposes fines up to 7% of global annual turnover. But beyond fines, compliance failures erode trust with customers, partners, and regulators.