The problem with hosted AI

Most database AI tools send your data to someone else's cloud

Convenient AI features often run on shared, third-party APIs — your schema and query results leave your walls, residency is out of your hands, and you're locked to one vendor's model with no audit of what it did. For regulated data, that's a non-starter. Hawk AI takes the opposite approach: the model comes to your data.
Runs in your infrastructure
Runs in your infrastructure
Deployed as a private, localized model 100% inside your own environment — no shared tenancy, no public API calls, no data bleed.
Bring your own model
Bring your own model
Choose the model you trust — a local model via Ollama or Azure OpenAI — and swap it as your strategy evolves. No vendor lock-in.
Governed & audited
Governed & audited
Everything the model does runs through DBHawk's access control and audit — the AI is a governed user, not a back door.
Why sovereignty matters
Keep control of your data, your model, and your compliance
Data never leaves — prompts, schema and results stay inside your infrastructure.
Model choice — run a local model with Ollama, or Azure OpenAI in your own tenant.
No vendor lock-in — change models without re-platforming.
Residency & sovereignty — meet data-localization and regulatory requirements.
Enterprise SSO & audit — AI access tied to identity, every action logged.
Keep control of your data, your model, and your compliance
FAQ

Private LLM & bring your own model — questions

What does "sovereign AI" actually mean here?
It means the AI runs entirely inside your own infrastructure. Hawk AI deploys as a private, localized model — there's no shared tenancy, no calls out to a public AI API, and no multi-tenant data bleed. Your prompts, schema, and query results never leave your environment.
Which models can I bring?
You can run a self-hosted local model through Ollama, or use Azure OpenAI within your own tenant. "Bring your own model" means you pick the model that fits your security, cost, and performance needs — and you can change it later without re-platforming.
How is a private LLM kept from over-accessing data?
Hawk AI is treated as a governed user. Anything it does runs through DBHawk's object- and column-level access control and dynamic masking, and every prompt and query is audited. The model can only work with data the associated user is permitted to see.
Does this help with data residency and compliance?
Yes. Because both the model and the data stay inside your infrastructure, Hawk AI supports strict data-residency and sovereignty requirements, and its full audit trail provides the evidence auditors expect for SOC 2, GDPR, HIPAA and similar frameworks.

Bring AI to your data — not your data to AI

See Hawk AI run privately in your own infrastructure, with the model you choose and full governance built in.