Privacy-Preserving Financial Surveillance: An Architectural Framework for CBDC Implementation

Abstract

Central bank digital currencies create fundamental tensions between regulatory surveillance requirements and individual privacy rights. This paper proposes an architectural framework leveraging zero-knowledge proofs and privacy-preserving computation to enable AML/CFT compliance without exposing transaction-level data.