Separate model-training controls from broader confidentiality controls when using AI tools.
Model training is one control in a larger confidentiality stack. It tells you something about future model improvement. It does not answer every question about storage, review, access, connected apps, output sharing, or contractual approval. The stack to check Start with data class. Then check tool tier and approval. Then check retention and admin controls. Then check connected apps or file access. Finally, minimize the prompt so the model receives only what it needs. Why people over-trust the setting "Not used for training" is easy to understand, so it becomes a shortcut. But shortcuts are dangerous when the data is…
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