With 61% of enterprises citing data privacy and compliance as their top challenge when adopting AI-enabled SaaS in 2026, this article examines how AI data privacy requirements diverge from traditional SaaS privacy controls. The piece highlights the need for distinct governance frameworks that address model training data persistence and inference risks unique to AI systems.