# How do we answer a client asking whether we put their data into AI tools?

With a specific, checkable answer rather than a reassurance. Clients and their procurement teams increasingly ask which AI services touch their data, under which terms, and with which controls. A good answer names the approved AI services and how they are contracted, for example business accounts with no training on your inputs, a data-processing agreement and stated processing locations; says which client data may and may not go into them; describes the controls, such as the AI policy, staff training, access restrictions and review of outputs; and explains how you check that practice matches the policy. If the honest answer today is that you do not know, say what you are doing to find out and by when, rather than promising something you cannot show. Keep the answer consistent with your contracts and your records of processing. From the Pro plan, NetSenX shows which AI services your company's devices actually reach and how much data goes to each, so the answer to the client is backed by your own traffic rather than by assumptions; it does not show which client's data was involved.

FAQ: [AI use and AI security](https://netsenx.com/en/faq/ai) · https://netsenx.com/en/faq/how-to-answer-a-client-asking-if-we-put-their-data-into-ai

## Read next

- https://netsenx.com/en/shadow-ai-detection
- https://netsenx.com/en/ai-transparency

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