Differential Privacy and Protecting Your Personal Data

Differential privacy adds statistical noise to your data before it's used to train AI models, mathematically guaranteeing that no individual's information can be reliably extracted from the final system. The trade-off is real: more privacy noise means less accurate models, so the practical question isn't whether to use it but how much accuracy you're willing to sacrifice for the level of protection you need.