COMPARISON
Private AI vs Public AI
This comparison explains architectural roles and responsibilities; it does not imply every organization must separate systems this way.
| Dimension | Private AI | Public AI Service |
|---|---|---|
| Control boundary | Organization-defined environment, data and control model | Provider-defined service boundary |
| Model access | Approved private/shared model services | Provider-hosted models/APIs |
| Governance | Enterprise identity, policy, evaluation and audit integration | Depends on provider features and enterprise integration |
| Best fit | Sensitive data and stronger shared operating controls | Workloads allowed by policy with lower infrastructure ownership |
Important: Final design depends on products, policy, existing systems, data ownership and operating model.
