Data-Centric Security for Generative AI Systems: Protecting Sensitive Data against Leakage, Inference Attacks, and Unauthorized Model Access
A data-centric security framework is proposed that links data sensitivity, access policies, model controls, and governance requirements throughout the AI lifecycle and emphasizes that security controls should remain tied to sensitive information regardless of where the data is stored, processed, retrieved, or generated...