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What “keep data in India” needs to mean
A residency promise is only useful when it specifies which information stays where, and at what stage. A prompt may be processed to generate a response, retained in an abuse-monitoring log, stored as application state, or accompanied by account and usage metadata. Those activities can have different locations and retention rules.
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Separate at least these questions before choosing an API configuration:
- Storage at rest: Where is customer content stored, including logs, uploaded files, vector stores, caches and backups?
- Inference: Where is the request processed to produce a response for the selected model and endpoint?
- Retention: What content is retained, for how long, and under what exceptions?
- Operational data: Where are account details, usage data, support records and other metadata handled?
A region setting or regional endpoint may answer one of these questions without answering the others. Do not treat “India region,” “data residency,” “not used for training,” and “processed in India” as interchangeable claims.
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Define the boundary of your own residency requirement before you evaluate a vendor. For one workload, the concern may be the prompt and response at rest; for another, the requirement may also cover inference, uploaded files, logs, metadata, support access and downstream application state. A provider answer is meaningful only when it identifies the content types, endpoints and features it covers. If a customer contract promises that all data is processed in India, a narrower storage-only control may not satisfy that promise.
Does Indian law require all data to stay in India?
The general DPDP position
The Digital Personal Data Protection (DPDP) framework is not a blanket rule that all personal data held by every organisation must be stored in India. The Data Security Council of India’s cross-border FAQ, current as of November 2025, says the DPDP Act, 2023 and DPDP Rules, 2025 do not impose blanket localisation. It describes global cloud storage as generally possible unless a transfer is restricted, while noting that specific restrictions and other Indian laws can change the result. This is secondary guidance, not a substitute for the law or an assessment of a particular deployment.
The Government of India announced that it notified the DPDP Rules, 2025 on 14 November 2025. Its Press Information Bureau backgrounder identifies principles including purpose limitation, data minimisation, accuracy, storage limitation, security safeguards, transparency and accountability. The PIB also reported 6,915 consultation inputs during development of the final Rules; that figure describes consultation participation, not compliance, adoption or the number of organisations affected.
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Use that general position as a starting point, not as a shortcut to a transfer decision. The relevant question is whether the rules in force apply to your organisation, the specific information and the processing activity, and whether another law, direction or contract adds a restriction. Applicability can depend on the data, organisation, sector and relevant commencement or regulatory notifications. Have the responsible legal or compliance owner confirm the position for the deployment instead of assuming that a general summary settles it.
Sector and contract rules can be stricter
The general DPDP position does not settle every sector-specific question. A SEBI-hosted industry report describes a 2019 RBI requirement for payment data to be stored in India and mentions an exception for some foreign-bank cross-border transactions. That report is useful as a warning, but it is not the controlling RBI instrument and does not establish the exact scope of the rule for your system. For payment workloads, verify the relevant RBI primary instrument and any later direction rather than relying on a general summary.
Financial services, government work, contractual commitments and other regulated uses may add conditions beyond the general position. Identify the organisation, data category, purpose, parties, transfer route and applicable sector requirements before concluding that a particular transfer is permitted. A data-location decision should be reviewed by the people responsible for privacy, security, legal and sector compliance—not inferred from an API vendor’s regional product label.
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Also check what your own customer or partner terms say. A transfer may be legally possible under a general framework yet inconsistent with a stricter contractual commitment or a notice that describes where data is handled. Make the technical configuration, external statements and contractual obligations match; do not treat a vendor setting as a replacement for that review.
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OpenAI’s regional availability documentation lists an India API region at in.api.openai.com. For that region, the documented status is storage available and regional processing unavailable. In other words, the documentation supports an India storage option for covered customer content and supported endpoints; it does not support a claim that requests are processed in India.
| Control | What it means | OpenAI India API documentation |
|---|---|---|
| Regional storage | Whether covered customer content can be stored in the selected region, subject to endpoint and eligibility conditions. | Available for the India region. |
| Regional processing | Whether request content is processed in the selected region for inference. | Unavailable for the India region. |
The endpoint hostname is not proof of an inference location. Use the documented capability for the exact region, account eligibility, model and endpoint, and treat the provider’s explicit processing commitment—not a hostname or a dashboard label—as the evidence for where inference occurs.
Regional residency also has boundaries. OpenAI’s documentation says system data such as account data, metadata and usage data is not covered by regional residency and may be processed or stored outside the selected region. It notes limits involving customer infrastructure and end-user locations. Accordingly, a storage configuration should not be presented internally or to customers as a promise that every datum associated with a request remains in India.
Check the request path as well as the advertised region. An API call may involve the endpoint and feature you selected, plus any files, vector stores or application state used around the call. Confirm that each relevant component is within the stated scope; do not assume that a setting for customer content automatically applies to all feature data or to your own infrastructure. Keep a record of exclusions as well as included data, since those limits determine what you can accurately tell users.
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OpenAI states that, as of 1 March 2023, API data is not used to train or improve its models unless the customer explicitly opts in. That statement concerns training use; it is not a statement that the data is never retained, nor does it establish where inference takes place.
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OpenAI says abuse-monitoring logs may include prompts and responses, as well as derived metadata. These logs are retained for up to 30 days by default, unless a longer period is required by law or reasonably necessary to protect the service or another party. This is a default with stated exceptions, not a universal maximum for every kind of data or feature.
Application state is a separate issue. Some API features may retain state even where other controls are configured, so check the behaviour of the specific endpoint and feature you plan to use. OpenAI describes Zero Data Retention and Modified Abuse Monitoring as controls for eligible customers that require prior approval and have additional requirements and endpoint limitations. They are not automatically available to every account and should not be described as guarantees that no data is ever stored.
Keep four questions distinct in your review: whether content is used for training, whether it is logged, whether a feature retains application state, and where each retained copy is located. A “no training” answer only addresses the first. A short default log period does not answer whether a stateful feature retains information separately, and a deletion control does not itself establish where processing occurred. Record each answer separately for the API features in your actual design.
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- Inventory the data in the request. List personal information, payment or other regulated data, confidential business content, identifiers, and any contextual information the model does not actually need. Include files and data retrieved from connected stores, not just the text typed into a prompt.
- Write down the purpose and permitted use. Identify the task the API performs and the information needed to perform it. The government’s summary of DPDP principles includes purpose limitation and data minimisation; use those principles to challenge unnecessary fields and context.
- Minimise before transmission. Remove direct identifiers or unnecessary details where the task allows. Use synthetic, masked or aggregated data in development and testing when suitable. Masking is a risk-reduction measure, not proof that legal obligations no longer apply.
- Check sector, transfer and contract conditions. Determine whether the data or organisation is subject to requirements beyond the general DPDP position, including applicable payment rules, customer commitments and restrictions on cross-border transfers. Escalate uncertain cases to the relevant legal or compliance owner before routing live data.
- Map every provider data path. For the exact account and endpoint, record where content is processed and stored; how logs, files, vector stores and application state behave; how deletion works; and how metadata, support access and subprocessors are handled. Ask for the scope and limitations of each assurance in writing.
- Review training and retention independently. Record the provider’s training-use setting, default log period, exceptions, stateful feature behaviour, deletion controls, and whether enhanced controls need approval. A “not used for training” setting does not answer the retention or location questions.
- Update governance records and notices. Document the data purpose, provider role, safeguards, access controls, retention and deletion process, and the disclosures relevant to the deployment. Ensure customer-facing statements describe the actual configuration rather than promising complete India residency if system data or processing is outside that boundary.
- Validate the real configuration without sensitive payloads. In a non-sensitive environment, test the configured endpoint and account or project settings. Save the configuration evidence and the provider documentation reviewed. Do not use a successful response from an India hostname as a substitute for proof of inference location.
- Reassess when the route changes. A new model, endpoint, feature, file workflow, account plan or provider policy can alter the data path or control availability. Route changes through the same review rather than assuming an existing regional setting covers newly added features.
A useful review record can be concise, but it should let another person reconstruct the decision: what data is sent, why it is needed, the legal and contractual checks performed, which endpoint and features are enabled, what the provider says about each data type, and who approved the route. Keep dated copies or links to the documentation and record the settings actually used. That makes it easier to revisit the decision if the provider changes its controls or the workload changes.
Questions to ask an AI API provider
Ask for precise, endpoint-specific answers rather than a general statement that a service is “regional” or “sovereign.” Keep the responses with your system and compliance records.
- For the selected model and endpoint, where is inference performed? Is processing in India contractually or technically committed, or is only storage regional?
- Which customer content is stored in India, and which content types, endpoints or features are excluded?
- Where are prompts and responses retained for abuse monitoring, and what is the default period? What exceptions permit longer retention?
- Do files, vector stores, caches, backups or application state follow the same region and deletion controls as ordinary request content?
- What data is classified as system, account, usage, billing or support data, and can it be processed outside India?
- Which models, endpoints and features are covered? Are regional controls conditional on account eligibility, approval or a particular plan?
- How do deletion requests work, and which copies or records are excluded from deletion or retained for legal or security reasons?
- Which subprocessors, support operations or customer infrastructure can access or process the data, and where?
- Can the provider supply written documentation or contractual terms that match the assurance your organisation plans to make?
Ask the provider to distinguish a policy statement from a feature setting and from a contractual commitment. For each answer, note whether it applies to the account, endpoint and feature you will use, whether prior approval is needed, and what exceptions remain. If the response says “regional,” follow up with the specific region and whether it refers to storage, inference, logs or another data class. This helps prevent a general product description from being mistaken for a complete residency guarantee.
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How to compare providers without confusing the claims
Compare providers on the same workload and the same data categories. A region name is not an apples-to-apples result if one provider is describing storage and another is describing inference. The available provider-level facts here are specific to OpenAI; broad references to cloud infrastructure providers in the SEBI-hosted industry report do not establish their AI API processing locations or endpoint capabilities.
| Comparison area | Evidence to capture | Why it changes the decision |
|---|---|---|
| Storage location | Region for prompts, responses, logs, files, vector stores, caches and backups. | A regional content store may coexist with processing or operational data outside that region. |
| Inference location | Documented location for the exact model and endpoint handling the request. | Storage at rest does not establish where a prompt is processed. |
| Retention and deletion | Default periods, exceptions, feature-specific state and deletion behaviour. | Short or configurable retention is different from no retention. |
| Training use | Default policy, opt-in or opt-out mechanism, and scope of covered data. | Training controls do not answer residency or retention questions. |
| Eligibility and coverage | Account requirements, approval, endpoint and model support, and limitations. | A control that is unavailable for the selected account or endpoint cannot protect that route. |
| Operational data | Handling of metadata, account, billing, support and subprocessor data. | These data types may fall outside a customer-content residency promise. |
| Legal and contractual fit | Relevant Indian requirements, provider terms, customer commitments and internal notices. | Technical location controls alone do not establish that a use is compliant. |
Do not assume that a provider’s presence in India, or the availability of Indian cloud infrastructure, proves that a particular AI API model performs inference in India. The provider must document the processing location for the actual endpoint and model. Treat claims about infrastructure availability as context, not evidence about the API route in your application.
Make a defensible residency statement
Before telling customers or internal stakeholders that data “stays in India,” define the boundary. State whether the claim covers customer content at rest, inference, logs, files, application state, metadata or all of them. Identify the relevant endpoint and feature scope, and disclose any excluded system data or processing outside the region.
For example, where the provider’s documentation supports only regional storage, the accurate description is that covered content can be stored in the selected India region, while regional inference is not documented as available. Avoid broader language such as “all data is processed in India” unless the provider’s current documentation and applicable contract explicitly support that specific claim for the complete route.
Keep the rationale and evidence together: data classification, applicable rule review, provider documentation, contract terms, endpoint configuration, retention decisions and approval. Re-check the live provider terms and primary regulatory instruments when the deployment or applicable requirements change. A written record makes it possible to explain what the residency claim covers, rather than relying on an ambiguous region label.
Frequently Asked Questions
Does choosing an India API region mean my AI prompt is processed in India?
No, not necessarily. Storage and inference are separate controls. OpenAI lists its India API region at in.api.openai.com as having regional storage available and regional processing unavailable. Check the provider’s documentation for the exact model, endpoint and account rather than inferring processing location from a hostname.
Does the DPDP framework require every organisation to store all personal data in India?
The DSCI cross-border FAQ says the DPDP Act, 2023 and DPDP Rules, 2025 do not impose blanket localisation. That general summary does not remove possible restrictions under other Indian laws, sector rules, government directions or contracts. Confirm which requirements apply to your data and deployment.
If an AI API does not train on my data, is the data never retained?
No. Training use and retention are different questions. OpenAI says API data is not used for training or improvement unless a customer opts in, while abuse-monitoring logs may contain prompts and responses and are retained up to 30 days by default, subject to stated exceptions. Application state may be separate again.
Does Zero Data Retention guarantee that no information is stored?
Do not assume that. OpenAI describes Zero Data Retention and Modified Abuse Monitoring as controls for eligible customers that require prior approval and have additional requirements and endpoint limitations. Some features may retain application state, so verify the exact endpoint and feature behaviour.
What can remain outside India even when I select regional storage?
OpenAI’s documentation says system data such as account data, metadata and usage data is not covered by regional residency and may be processed or stored outside the selected region. It also notes limits related to customer infrastructure and end-user locations. Ask the provider which content types and data paths are included or excluded.
What should a payment company verify before sending data to an AI API?
Check the primary RBI instrument and any later directions that apply to the specific payment-data workflow, along with provider terms and customer commitments. A SEBI-hosted industry report describes a 2019 RBI payment-data storage requirement and mentions an exception for some foreign-bank cross-border transactions, but the report is not the controlling RBI instrument.
The Bottom Line
Do not equate an India region with India-based inference. Classify and minimise the data, check applicable sector and contractual rules, and verify storage, processing, logs, application state and metadata for the exact API route. Make only the residency claim the provider’s current documentation and your contract actually support.
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