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Do not accept “sovereign” as an answer to a procurement question. Ask the provider to document every place your data is stored, processed, copied, backed up, routed, or viewed; identify the legal entities and countries that can reach it; explain who controls keys and privileged access; and prove how data is exported and deleted. Validate each answer with deployment-specific contract language, architecture diagrams, audit records, and a live demonstration.
Storage in your country is only one control. Legal jurisdiction, administrative access, model routing, derived data, support operations, and your ability to leave the service all determine whether the deployment meets your requirements.
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Why residency does not equal sovereignty
Data residency answers a physical or logical location question: which country or region stores or processes a data object. Jurisdiction asks which laws can apply to the companies, people, systems, and data involved. Those questions overlap, but they are not interchangeable.
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A useful sovereignty assessment therefore covers at least six dimensions:
- Legal control: ownership, contracting entities, affiliates, subcontractors, applicable laws, and legal-demand procedures.
- Data location: production storage, inference, caches, backups, disaster recovery, support access, telemetry, and AI-derived artifacts.
- Operational control: administrator roles, approval workflows, session controls, audit logs, and encryption-key authority.
- AI lifecycle: model sourcing, request routing, version changes, training or reuse, tools, and retrieval systems.
- Evidence: contractual commitments, technical documentation, independent assurance, demonstrations, and records you can inspect.
- Autonomy and exit: export formats, deletion proof, migration dependencies, and the operating work your organization must assume.
The European Commission’s sovereignty criteria use a similarly broad approach, spanning data and AI, operations, jurisdiction, intellectual property, and migration. A country label or a compliance badge cannot establish all of these dimensions by itself.
Ask who can legally control the service
Identify every relevant legal entity
Request the legal name and location of each entity that signs the contract, operates the platform, owns or controls the operator, supplies models, performs support, and handles subprocessors. Ask for the parent-company relationship and the countries in which each entity is incorporated or managed.
Then ask which entity has possession, custody, or control of each data category. The answer may differ for prompt content, billing records, backups, model artifacts, and support tickets. Require the provider to explain whether an affiliate, parent, contractor, or subcontractor can administer systems or obtain customer data.
Make legal-demand handling explicit
Ask for the written process used when a government or court requests your information:
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- How does the provider validate the demand and determine which entity and data are within its scope?
- Will it challenge an overbroad, unlawful, or conflicting request?
- When legally permitted, how and when will it notify you?
- What records will it provide about the request, response, and data disclosed?
- How are emergency access, national-security process, ordinary lawful process, and international-agreement mechanisms distinguished?
The U.S.-UK CLOUD Act agreement, for example, establishes a framework for qualifying orders and includes provider objections and safeguards. Its applicability depends on the order, provider, data, and circumstances; it is not a blanket immunity or access rule. Have counsel review the provider’s specific commitments and the laws that reach the contracting and operating entities.
Require a data map for the entire lifecycle
Ask for a written inventory that follows data from ingestion through deletion. “Hosted in region X” is incomplete if support, failover, model calls, or backups occur elsewhere.
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|---|---|---|
| Prompts, system prompts, and conversation history | Where are they processed, cached, retained, and viewed by support? Can cross-region fallback be disabled? | Data-flow diagram, retention configuration, region controls, and sample access log |
| Uploaded files and generated responses | Where are originals and outputs stored? Are safety or abuse systems given copies? | Storage locations, processing-purpose statement, and deletion procedure |
| Logs, telemetry, diagnostics, account and billing records | Which fields leave the selected region, and how long are they kept? | Log schema, retention schedule, subprocessor list, and transfer mechanism |
| Support tickets, bundles, and remote-session recordings | Who can view them, from which countries, and under what approval? | Support-location list, session policy, and immutable audit sample |
| Backups, replicas, caches, and disaster-recovery copies | Where are they replicated, when do they expire, and does deletion reach them? | Backup topology, failover regions, retention settings, and deletion certificate |
| Fine-tuning, evaluation, feedback, and safety data | Is customer material reused to train or improve any model or service? | Purpose and opt-out terms covering every tier and subprocessor |
| Embeddings, vector indexes, model context, and agent traces | Where are derived objects created and stored, and do they receive the same access and deletion controls as source data? | Architecture, access policy, backup treatment, and export format |
Include all of these objects in the contract’s definition of customer data where appropriate. Microsoft guidance treats embeddings and vector indexes as regulated data objects that should receive residency, access, and audit treatment comparable to their source datasets. A file can be deleted while a searchable representation, cache, evaluation record, or training copy remains unless the provider’s process explicitly covers it.
Pin down transfers and fallback behavior
Ask which countries are used for each action, including disaster recovery and capacity failover. Confirm whether you can select locations, prevent cross-region fallback, and receive advance notice before a location or subprocessor changes. Require the transfer mechanism or contractual basis for every cross-border movement, rather than a general promise that data “stays private.”
Test who can access plaintext and control keys
Map privileged roles
Ask for role categories and locations for everyone who can access content, metadata, model configuration, or the control plane. Distinguish routine operations from exceptional support. Find out whether administrator access is disabled by default, time-limited, purpose-bound, approved, and logged.
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Request a sample record showing who accessed what, when, from where, for which ticket or change, and whether the record is immutable. Ask whether you can inspect logs for model use, configuration changes, support sessions, and key operations. If a provider cannot show a realistic audit sample, treat “auditable” as an unverified assertion.
Understand the key hierarchy
Ask whether your organization exclusively controls encryption keys, where key-encryption keys are held, and whether provider personnel can reach plaintext despite customer-managed keys. Have the provider demonstrate the threat model: which components decrypt data, which identities can request decryption, and what happens when you revoke a key.
Clarify the service consequence of revocation. It may stop new processing, make existing data unreadable, or also disable backups and recovery. Ask how quickly support access and keys can be revoked, who can override a revocation, and how every override is recorded.
The European Commission criteria call for effective customer control of cryptographic access, visibility into who accessed data and when, auditability, and verifiable removal. A vendor description such as Sovere’s statement, “Your team holds the key and decides when each update goes in,” is a claim about that vendor’s own system, not independent evidence or a general property of sovereign AI. Test the equivalent control in the exact service and configuration you are buying.
Question the AI model and routing lifecycle
Identify the model behind every request
For each workload, ask which model, version, provider, and hosting location process a request. Determine whether a request can be sent to a third-party model, web search service, plug-in, agent, safety classifier, or other external tool. Ask whether administrators can change routing without your approval and how you are notified.
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Control updates and model artifacts
Ask where model weights, adapters, prompts, retrieval components, and evaluation artifacts come from. Who approves a model or adapter change? Are changes recorded, tested, and reversible? Can you pin a version for a defined period, and what happens when that version is retired?
Define reuse and training boundaries
Get a direct answer on whether prompts, outputs, feedback, fine-tuning corpora, evaluations, embeddings, indexes, or agent traces are retained or used to train or improve any model. Ask whether an opt-out covers every service tier, region, subprocessors, and support system. “We do not train on your data” is insufficient if a separate safety, abuse, analytics, or fine-tuning process receives it.
Verify network isolation claims
If the requirement is that a model run without external network access, ask which interfaces are disabled, how updates arrive, and how the claim is technically verified. A private network path does not by itself prove that model weights, telemetry, support tools, or update systems are locally controlled.
Google’s sovereign-cloud materials describe residency and administrative-access controls as product capabilities. Treat those statements as vendor representations and ask which controls apply to your exact service, region, plan, model routing, and contract.
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Turn every important answer into an artifact, demonstration, or enforceable term. A practical evidence request includes:
- Current architecture and data-flow diagrams showing production, inference, support, backups, failover, model calls, and derived data.
- A list of subprocessors, functions, access types, operating countries, and change-notification commitments.
- Role and privilege documentation, key hierarchy, support-session procedure, and sample immutable audit records.
- Demonstrations of region selection, cross-region blocking, key revocation, privileged-access approval, and deletion.
- Contract language covering locations, retention, training and reuse, legal demands, incident notification, subprocessors, and audit rights.
- Technical documentation describing model versions, routing, update approvals, interfaces, dependencies, and rollback.
- Independent assurance reports, penetration-test scope, or other evidence that matches the service and region—not a certificate for a different product.
For each claim, record its scope: exact service, region, edition, model, configuration, date, and contractual owner. A control that exists only in a premium tier or only when a feature is disabled should be recorded that way.
Compare deployment options on the same axes
Do not compare “cloud” and “on-premises” as labels. Compare the controls and obligations each model creates.
| Axis | Questions for every option |
|---|---|
| Legal control | Who contracts, owns, operates, supports, and can be compelled? Which affiliates and laws are relevant? |
| Data location | Where do storage, inference, support, backups, failover, telemetry, embeddings, and indexes occur? |
| Operational access | Who has privileged access, how is it approved, can you revoke it, and what audit trail is available? |
| AI lifecycle | Who supplies models, controls routing and updates, receives prompts, and manages training or reuse? |
| Evidence | Which claims are contractual, independently assessed, demonstrated, or merely described? |
| Exit and resilience | Can you export records and model assets, prove deletion, switch providers, and continue operations during an outage? |
| Operating burden | Who supplies hardware, patching, physical security, monitoring, staffing, resilience, and incident response? |
On-premises deployment can change who operates hardware and where processing occurs, but it does not automatically resolve legal exposure, model provenance, software supply-chain risk, support access, or update control. A managed service may provide stronger operational tooling while leaving more authority with the provider. Compare the documented control boundary, not the marketing category.
Make deletion, portability, and incidents testable
Define deletion across copies
Ask what deletion means for primary storage, replicas, caches, backups, subprocessors, training data, model artifacts, embeddings, indexes, and audit records. Identify the trigger, completion timeline, exceptions, and proof supplied. If backups persist for a defined period, that period belongs in the contract and risk assessment.
Specify an exit package
Require documented export formats for prompts, outputs, files, logs, embeddings, indexes, configurations, policies, model or adapter assets, and audit history. Ask whether exports are complete, machine-readable, encrypted, and usable without proprietary tooling. Identify licences, dependencies, replacement models, migration support, and the records that cannot be moved.
Set incident and legal-notice terms
Contractually define incident categories, notification deadlines, evidence preservation, regulator coordination, and your access to investigation material. Apply the same precision to legal demands: notice where allowed, challenge procedures, disclosure scope, and a record of what was produced.
Use a staged procurement process
- Write control requirements first. Specify prohibited locations, allowed support countries, key ownership, model-routing restrictions, retention limits, audit access, and exit formats.
- Send the same questionnaire to every provider. Require entity maps, data-flow diagrams, subprocessor lists, model-routing descriptions, and sample audit records.
- Resolve gaps in contract language. Do not rely on a dashboard setting or sales statement for location, reuse, deletion, notification, or access rights.
- Run a technical demonstration. Observe region selection, cross-region blocking, privileged-access approval, key revocation, model-version pinning, export, and deletion evidence.
- Pilot with representative data. Include prompts, attachments, retrieval indexes, support workflows, and failover conditions so hidden copies and routes appear.
- Monitor after launch. Review subprocessor and model changes, access logs, incidents, deletion records, and annual evidence. Reassess when the provider changes ownership, architecture, region, or model routing.
How to recognize an incomplete answer
- “The data is in your country.” Ask about legal entities, support access, backups, model calls, telemetry, and derived data.
- “We use customer-managed keys.” Ask who can request decryption, whether plaintext is accessible, and how revocation works.
- “We are sovereign by design.” Ask for the precise control definition, service scope, region, and contract clause.
- “We never train on customer data.” Ask about outputs, feedback, safety systems, embeddings, indexes, subprocessors, and all service tiers.
- “We are compliant.” Ask which assessment covers the exact service and configuration, what your responsibilities remain, and whether you can inspect evidence.
- “We can delete everything.” Ask for the object list, backup timeline, exceptions, subprocessors, and a sample deletion certificate.
The strongest provider answer is specific, scoped, reproducible, and backed by records. If a control cannot be demonstrated or written into the deployment’s terms, treat it as an assumption rather than an established protection.
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