Tenant Isolation Reduces AI Risk, But It's Not the Whole Answer

Mature organizations rarely feed sensitive data into open, public AI models casually. Instead, they rely on a layered approach:

1. Tenant Separation: Use isolated, subscription-based, or controlled cloud environments.
2. Reduced Leakage Risk: Keep organizational data out of broader public model behavior and training.
3. Governance Layer: Treat isolation as one control, not a substitute for compliance review.
4. Purpose Limitation: Scrutinize repurposing data collected for one use into an AI workflow for another.
5. Retention Limits: Don't hold data longer just because an AI system might use it later.
6. Risk-Proportionate Design: The more sensitive the data, the more deliberate the environment needs to be.

This isn't "never use Gen-AI." It's using it deliberately, in a controlled setting, with the right safeguards around it.