What do we mean by data sovereignty?
Data sovereignty concerns the authority and rules governing data, including the jurisdictions and organisations involved in storing, accessing and processing it. For a business making technology decisions, it prompts practical questions: where are our copies, who has access, what dependencies do we accept and how do we leave?
We use it as a starting point for an architecture discussion, rather than a label that proves a system is compliant or immune from outside influence.
Residency, sovereignty and operational control
These ideas are related, but they describe different decisions.
| Decision | What to establish |
|---|---|
| Data residency | The physical locations used for the relevant copies and processing. |
| Governing obligations | The organisations, contracts and legal requirements involved. |
| Access and administration | Who can read the information, operate the service and recover its keys. |
| Operational control | Whether the business has a usable option when a supplier or connection is unavailable. |
| Portability | How data and configuration can be exported, handed over or moved. |
A UK storage location is a useful fact to establish, but it does not answer every question about processing, access or contractual responsibilities. The ICO’s guidance on international transfers explains why the organisations receiving or accessing personal information also matter.
What an on-premises copy changes
An agreed local copy places selected data on hardware at your premises and makes it available through a defined local service. That can reduce dependence on the cloud provider’s availability for the work included in your continuation plan.
It does not relocate the provider’s original information, remove the cloud provider’s own copies or change the terms governing those originals. It also creates another copy to protect, retain and eventually delete appropriately.
Our on-site continuity approach combines local custody with applications, accounts and a working procedure. A stored copy without a tested way to use it is a weaker operating option when cloud services fail.
Map every copy, not just the main server
Include synchronisation folders, independent backups, exported documents, staff devices and support access in the review. Record where encryption keys live and who can recover them if the usual identity provider is unavailable.
For each class of information, agree access rules, retention, change control and a deletion process. Decide how faults or failed synchronisation are reported. Consider loss of the premises as a separate risk: a local appliance alone is not an off-site disaster-recovery strategy.
These controls should be chosen for your organisation and tested in the deployment. They are not implied certifications or a promise that every installation includes the same security features.
Include local AI in the data map
Locally hosted AI can keep selected inference and document processing on your own infrastructure. The review must still cover prompts, extracted document text, search indexes, embeddings, outputs, logs and backups.
Check external model calls, connected tools, updates and remote administration. If an offline boundary is required, verify it against the whole workflow. Local inference is a deployment choice, not automatic proof of privacy, accuracy or legal compliance.
Open standards make control more practical
Standard interfaces, exportable files and documented configuration help you change suppliers and retain a usable copy of your information. Our cloud continuity service uses established open-source mail and file components with the scope and handover agreed for each deployment.
Software licences, model licences and cloud-provider terms should be considered separately. A FOSS local service does not remove the conditions on a cloud account or make every AI model unrestricted.
Start with a data control review
Choose the services and information that matter most. Map where they are held, who administers them, what a cloud outage stops and which local tasks need to continue. Then test the proposed local operating option against those requirements.
Orwell can help define the continuity, data and local AI requirements. Your organisation remains responsible for its data-protection decisions; use the relevant professional advice for your circumstances rather than treating an appliance purchase as a compliance result.