Handling PII and sensitive data requires restricting who can access it and minimizing exposure.

Best practices include:

1. 1) Data minimization—only collect what’s necessary

2. 2) Masking or tokenizing sensitive fields in the analytics layer

3. 3) Implementing row‑ and column‑level security so that users see only appropriate data

4. 4) Auditing access logs for unusual patterns

5. 5) Encrypting data at rest and in transit

During natural language interactions, the system should detect and obfuscate PII in prompts or responses.

A survey of enterprises adopting AI agents found that data privacy is the top concern (53 %), suggesting that organizations must invest in robust controls.