Trust and compliance · 2026-05-21

KVKK and LLM APIs: prompts, logging, and data residency

A technical overview of KVKK-related LLM API questions: prompt storage, usage logs, Turkey-hosted models, and global provider differences.

Data-control diagram showing KVKK, prompt storage, usage logs, and Turkey-hosted model distinctions.

First questions for a KVKK review

Every LLM team starts with the same questions: what data is sent, where it is processed, how long it is retained, and who can access it. These questions are technical as well as legal.

LLMTR states data-handling expectations on model pages and legal notices. Usage metering is evaluated separately from content handling.

Turkey-hosted and global models

Models explicitly marked as Turkey-hosted are not the same as global provider models. For global provider models, the selected provider's data-processing rules may also apply.

Keeping that distinction clear in the catalog, model details, and docs helps avoid incorrect expectations.

Technical checklist

Before moving an LLM integration to production, review prompt content, data classification, API-key handling, and access records together.

  • Mask or minimize sensitive data before sending it.
  • Keep API keys in server-side environment variables.
  • Validate user access boundaries with tests.
  • Choose local or global model processing based on the use case.

Frequently asked questions

How does LLMTR handle prompts?

LLMTR explains data handling on model pages and legal notices. Before sending sensitive content, review the selected model's data path.

Do all models run in Turkey?

No. Models explicitly marked as Turkey-hosted are evaluated separately. Global provider models may follow the provider's own policies.

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