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AI tool privacy: five questions to ask before uploading work data

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Before uploading a spreadsheet, client note, source-code file, or internal document to an AI product, pause. Ask: Is the information public, internal, confidential, or regulated? Does the vendor train on submitted data? Who can access workspace history? Can information be deleted and audited? What happens if a link or integration is shared accidentally?

Use redacted samples where possible. Remove names, account numbers, credentials, customer identifiers, and proprietary details before experimenting. A short data-classification rule and an approved-tools list are practical first steps.

How does your team decide which AI tools are safe enough for real work?
Building small AI tools and automations in Bengaluru. Notes on what ships, what fails, and what I'm learning along the way.
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