Security & reliability

Security and Data Privacy With Third-Party AI APIs

THE SHORT ANSWER

A third-party AI API adds parties to the path between your application and a model. Evaluate who receives the data, what is stored, how routing changes the recipients and how credentials are protected. HTTPS and a no-training statement answer only part of that review.

Documentation checked October 15, 2026. The practical questions below help describe a data flow; they do not certify a service for a particular regulatory use.

Where can a prompt travel?

A request can pass through your backend, an API gateway, an upstream intermediary and a model provider. Retries or fallback can send the same content along more than one eligible path.

Document each recipient and the purpose of processing. A model name is not a complete subprocessor list. If your requirements restrict regions or providers, verify that every allowed route satisfies them.

Does “not used for training” mean “not retained”?

No. A service can avoid training on content while retaining it for abuse monitoring, debugging or other stated purposes. Review training use, content logging, operational records and deletion separately.

Also distinguish API requests from web interfaces. A Playground can save conversation history even when the underlying API integration is stateless. Website analytics can introduce another record of what a person enters or sees.

What does Tokely disclose?

Tokely’s privacy policy says requests may be transmitted to upstream gateways and providers, including through retries or fallback. It does not make a blanket promise that all upstream processing is zero-retention or excluded from model improvement. It also describes saved Playground chats and consent-based session recordings that may include visible prompts or replies. Tokely privacy policy.

Review these disclosures against your intended workflow. Sending content through the API and typing it into a website can have different surrounding data flows.

How should you protect API keys?

Keep them in a server-side secret store or environment configuration. Do not embed them in public browser code, mobile bundles or shared examples. Issue separate credentials where useful for isolation, revoke exposed keys and limit their budget or permissions where supported.

Logs should identify the credential without storing its secret. A request correlation ID is enough for most operational investigations.

How do you reduce the data you send?

Remove fields the task does not need. Replace direct identifiers with scoped references when possible. For retrieval, enforce customer permissions before assembling context, and prevent shared caches from returning another customer’s content.

Do not rely on a prompt telling the model to ignore unauthorized information. The unauthorized information should never enter the request.

What should a business review before integration?

Check the Tokely DPA, subprocessor disclosures and applicable upstream terms. Confirm any required retention, residency or contractual commitments for the specific route. A compatible API format cannot establish those commitments.

Once the documented data flow fits your requirements, use Tokely’s authentication guide to implement server-side access and keep your own logging policy consistent with that design.

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