Private AI vs Public AI

This comparison explains architectural roles and responsibilities; it does not imply every organization must separate systems this way.

DimensionPrivate AIPublic AI Service
Control boundaryOrganization-defined environment, data and control modelProvider-defined service boundary
Model accessApproved private/shared model servicesProvider-hosted models/APIs
GovernanceEnterprise identity, policy, evaluation and audit integrationDepends on provider features and enterprise integration
Best fitSensitive data and stronger shared operating controlsWorkloads allowed by policy with lower infrastructure ownership
Important: Final design depends on products, policy, existing systems, data ownership and operating model.