Sovereign AI
Control where it matters. Flexibility where it does not.
AliTechGrid helps organizations choose public, enterprise, private, sovereign or hybrid AI based on workload risk, data sensitivity, governance and value—not ideology.
D
Data control
Residency, retention, access boundaries, protected-data routing and approved sources.
M
Model control
Approved model catalogue, private endpoints, local models where justified and model evaluation.
G
Governance
Human approval, audit logs, risk tiers, use-case registration, testing and incident response.
R
RAG & knowledge
Controlled retrieval from institutional sources with permissions, citations and content lifecycle management.
| Mode | Best fit | Control | Typical trade-off |
|---|---|---|---|
| Public AI | Low-risk public information and experimentation | Lower | Fastest access, least institutional control |
| Enterprise AI | Approved productivity and business workflows | Medium–high | Vendor dependency and governance design |
| Private AI | Sensitive institutional workflows | High | Higher operating responsibility |
| Sovereign AI | Residency, national/institutional control and strategic workloads | Very high | Architecture and lifecycle complexity |
| Hybrid | Mixed workloads | Adaptive | Requires strong routing and policy |