Privacy-Enhanced Payment Systems

Agostino Capponi, Columbia University 

Michael Junho Lee, Federal Reserve Bank of New York 

Brian Zhu, Columbia University

A graphic of a lock overlaid on technological and financial looking creens

Balancing Privacy and Enforcement in Digital Payment Systems

Privacy‑enhanced payment systems are reshaping the risk landscape as digital assets and prospective CBDCs gain traction. This research examines how identity and transaction privacy affect both legitimate users and illicit actors, highlighting the trade‑offs facing regulators and financial institutions. The paper demonstrates that while privacy protections safeguard consumers, they can also amplify criminal activity, including money laundering, fraud, and cybercrime, especially as blockchain‑based systems integrate more deeply with traditional financial markets. The authors identify design features that best balance user privacy and enforcement requirements, emphasizing identity verification and calibrated transaction‑level privacy. For CROs and regulators, the findings offer actionable guidance on system design, AML expectations, and the operational risks emerging from increasingly sophisticated illicit finance.