Summary
In an era of heightened geopolitical uncertainty, the European Union is pursuing greater strategic autonomy in critical digital technologies. As crypto-assets and DeFi continue to reshape global markets, developing sovereign analytical capabilities is increasingly important for European financial stability, supervisory independence and monetary sovereignty. Initiated by the European Commission’s Joint Research Centre, CIPHER (Crypto Intelligence Platform for a Holistic European Regulation) provides a scalable intelligence architecture designed to translate complex on-chain data into actionable policy insights. By ingesting data directly from blockchain nodes and processing it through dedicated storage, indexing and analytics layers, CIPHER provides the foundation for near-real-time monitoring of crypto-asset markets, transfers and protocol activity. Current development focuses on advancing in-house methodologies for entity resolution and attribution, extending transfer-level monitoring capabilities, and addressing technical challenges related to blockchain interoperability and cross-chain analysis. In parallel, CIPHER is laying the groundwork for longer-term risk-assessment and stress-testing capabilities, while exploring greater data interoperability across EU institutions and strengthening collaboration with academia. The presentation provides an update on these developments and demonstrates how CIPHER is evolving into a sovereign European capability for crypto-market intelligence and evidence-based regulatory decision-making.
Short Bio
Peter Fratric is a researcher at the European Commission’s Joint Research Centre, working on the application of computational and data-driven methods to complex policy and regulatory challenges. His interdisciplinary expertise spans applied mathematics, artificial intelligence, blockchain technology and financial regulation, with a particular focus on digital finance and emerging technologies. He holds a PhD from the University of Amsterdam, where he worked on simulation-driven approaches to non-compliance and the application of AI to legal and regulatory problems. He previously conducted research at HEC Paris, focusing on payment systems and legal vulnerability identification, alongside teaching in executive education programmes where he worked with business professionals on the practical application of AI to business projects. His work brings together quantitative methods, AI and emerging financial technologies to address questions at the intersection of technology, markets, and regulation.
