Generative AI is only as safe as the data you feed it. Sending full customer records or confidential documents to a model creates risk that is hard to undo.
Send only what the task needs
Data minimisation means each prompt carries only the information the task requires. A support summary rarely needs a customer’s full address or card number.
Practical techniques
- Redact or tokenise personal data before it reaches the model
- Keep sensitive values in a vault and re-insert them only in the final output
- Use retrieval to pull short, relevant passages instead of whole documents
- Choose on-premise or private-cloud models for regulated workloads
Keep your velocity
Build these controls into a shared AI gateway, so every team gets privacy by default instead of solving it project by project. Logging and evaluation at the gateway also make audits far simpler.
Done well, privacy-first design lets teams ship GenAI features faster, because legal and security reviews have less to question.
