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What Happens to Your Data When You Use an AI Tool

What Happens to Your Data When You Use an AI Tool

Retention windows, training use and subprocessors differ sharply between consumer and enterprise tiers. Read the tier you are actually on.

The same model can have very different data policies depending on which plan you are subscribed to. Confusing the two is one of the most common governance mistakes.

The four questions to ask

  • Is input used for training? Consumer tiers frequently reserve the right; enterprise tiers usually contract it out.
  • How long is it retained? Answers range from immediate deletion to thirty days to indefinite, and abuse-monitoring logs often have separate windows.
  • Who are the subprocessors? Request the current list and check for changes on a schedule.
  • Where is it stored? Data residency commitments matter for regulated industries.

Technical controls that actually help

Redaction before submission is more reliable than relying on policy. Where available, use zero-retention endpoints and disable logging for sensitive workloads. Rotate keys that may have been exposed and scope them per application.

Write it down

Maintain an internal register of which tools process which categories of data. When a regulation, a contract or an incident forces the question, an accurate register is worth more than any amount of reassurance from a vendor.

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