AI agents are moving from demos to daily work: they read inboxes, update CRMs, open pull requests and talk to customers. That also means they touch your most sensitive data and systems. For many European organisations, sending all of that to a black-box SaaS is not an option.
What we mean by "sovereign"
A sovereign AI setup is one where you decide where models run, where data lives and what agents are allowed to do:
- Self-hosted models — open-weight LLMs served on your own hardware, a private cloud or an EU provider.
- Self-run agents — the agent runtime is software you operate, not a service you rent.
- Sandboxed execution — every tool call and code run happens in an isolated environment with strict network and filesystem limits.
- Open building blocks — no lock-in; you can swap models and move workloads.
Agent security is not optional
Agents combine untrusted input (web pages, emails, documents) with powerful tools. That makes them a new attack surface. Our baseline for every deployment:
- Threat-model each agent: what can it read, what can it change?
- Least-privilege credentials, scoped per task.
- Prompt-injection defences and output validation.
- Human approval for irreversible actions.
- Full audit trails of what the agent saw, decided and did.
Getting started
You do not need a data centre to start. A single workstation with a capable GPU can run a strong open model and a sandboxed agent runtime for a pilot team. From there, we help you scale to on-prem clusters or EU cloud.
Want to explore a sovereign setup? Get in touch — or watch our walkthroughs on YouTube.
Written by
databag Team
Created At
Tue Sep 15 2026