AI Data Center Compliance Requirements for Regulated Workloads

AI data center compliance requirements cover physical security, power and cooling resilience, access logging, environmental controls, and certification evidence — the facility-level controls that regulated AI workloads must verify because infrastructure security begins at the building. For the broader compliance framework, see enterprise AI compliance. For the security requirements, see AI infrastructure security requirements.

Facility Compliance Requirements

Physical security: perimeter controls, access badges, biometric verification, video surveillance, and visitor logging — the controls that determine who can physically reach the hardware. Power and cooling resilience: redundant power, backup generation, and cooling capacity that meets the density of GPU racks — because a power or cooling failure is a compliance incident if it causes data loss or unavailability. Access logging: every physical access logged with who, when, and what was accessed — the facility-level audit trail that complements the logical access logs. Environmental controls: fire suppression, flood protection, temperature and humidity regulation — the controls that protect hardware and data from environmental threats. Certifications: SOC 2, ISO 27001, HIPAA, or FedRAMP at the facility level — the attestations that verify the facility controls have been assessed. For the rack-level planning, see calculate GPU rack power density.

FAQ

What compliance does an AI data center need?

Physical security, power/cooling resilience, access logging, environmental controls, and certifications (SOC 2, ISO 27001, HIPAA). The building is the first layer of infrastructure security. See above.

Summary

AI data center compliance is physical security, resilience, logging, environment, and certifications. For the full framework, see enterprise AI compliance.