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Joint report by Nethermind and Deutsche Bank
Zero-knowledge proofs are moving from academic concept to production infrastructure faster than most financial institutions realize. The new Deutsche Bank x Nethermind report argues that institutions that delay adoption risk falling behind as digital assets mature.
The regulatory landscape is accelerating this shift. eIDAS in the EU and UK establishes the framework for digital identity and authentication. In the United States, the GENIUS Act will apply Bank Secrecy Act requirements to stablecoin issuers. Privacy, compliance, and verifiable computation are converging into a single technical requirement.
Unlike theoretical explainers, this 43-page report examines live deployments across central banks, exchanges, and enterprise pilots. It documents what works, what does not, and which areas require immediate industry alignment.
A zero-knowledge proof lets one party prove a fact without exposing underlying data. ZKPs allow institutions to keep trading flows, customer positions, and proprietary strategies private while proving AML and sanctions compliance. Rules can be embedded directly into the proof, including threshold checks and non-membership tests for blocklists.
The report reviews deployments across the Bank of England and MIT, BIS Project Tourbillon, the Deutsche Bank and Privado ID proof-of-concept, and PoR systems from Binance and OKX.
One key finding from BIS testing stands out: strict privacy and strict security are not always compatible. EC1 offered unconditional payer anonymity while EC2 provided stronger protection against counterfeiting. Institutions will need to choose the appropriate design for their regulatory environment.
Three convergence trends are accelerating ZKP adoption: zkVMs that abstract circuit design, hardware acceleration for proof generation, and standardisation efforts led by NIST and ZKProof.org.
The report argues that financial institutions now face a clear choice: continue experimenting or begin designing production-grade privacy and compliance models that leverage zero-knowledge proofs.