To get the most value from AI, we must feed it our most sensitive data. But how do we prevent 'data leakage’ associated with public models? In this review, we explore emerging data privacy alternatives—including Decentralized AI (DeAI), Privacy-Enhancing Technologies (PETs), and Synthetic Data—that allow enterprises to benefit from AI without exposing their secrets.