Data Residency for AI

This whitepaper explains how data residency, sovereignty, and localization apply to AI, and where sensitive data can cross borders across training, prompts, retrieval, tool calls, and logs. It shows how Runtime AI Data Control keeps raw values in their home region while models and agents work with tokens, so enterprises can scale AI across regions without building a separate stack in each country.