How AI Agents Handle Deleted User Data

Core principles include using appropriate deletion methods, such as cryptographic erasure where suitable; controlling access; handling backups according to retention and disposal policies; and isolating processing or storage where needed to limit residual exposure.

In practice, data-management workflows can identify relevant records across storage locations, apply approved deletion or sanitization methods, update database references, and handle logs and retained datasets according to applicable retention policies. Such workflows can help organizations respond to privacy-rights requests, including deletion requests, and support compliance with laws such as the GDPR and CCPA. Appropriate controls may also reduce residual data exposure and support user trust.