AI Infrastructure Security and Compliance Standards to Meet

AI infrastructure must meet security and compliance standards — HIPAA for healthcare, SOC 2 for service organizations, ISO 27001 internationally, and sectoral rules for finance and government — and each standard requires specific controls mapped to the AI stack with evidence the auditor accepts. For the compliance framework, see GPU infrastructure security and compliance framework. For the audit methodology, see auditing AI infrastructure providers.

Key Standards and AI-Specific Mapping

HIPAA: requires BAA, PHI isolation, encryption, access controls, audit logging, and breach notification — mapped to the AI stack with coverage for checkpoints, inference logs, and GPU memory as PHI surfaces. SOC 2: trust service criteria (security, availability, confidentiality) with controls demonstrated over an audit period — AI infrastructure must show continuous control operation, not point-in-time configuration. ISO 27001: information security management system with risk assessment and control implementation — AI infrastructure controls must be documented within the ISMS. Sectoral rules: PCI for payment data, SOX for financial controls, FedRAMP for government — each adds specific requirements on top of the general standards. For the evidence preparation framework, see how compute stacks match compliance audits.

FAQ

What compliance standards apply to AI infrastructure?

HIPAA (healthcare), SOC 2 (service organizations), ISO 27001 (international), and sectoral rules (PCI, SOX, FedRAMP). Each requires controls mapped to the AI stack with evidence. See the table above.

Summary

AI infrastructure must meet HIPAA, SOC 2, ISO 27001, and sectoral standards. For the full framework, see GPU security compliance framework.