BIS’s paper on ‘Crypto-asset data’ reveals how suptech and advanced analytics enable real-time crypto supervision, while noting challenges in data quality, governance, and supervisory capacity

It explains how regulators are increasingly using big data, machine learning, and digital reporting tools to strengthen oversight of financial institutions. These technologies allow supervisors to detect risks earlier, analyse large and complex datasets more efficiently, and move towards more continuous, real-time supervision rather than periodic reviews. The paper highlights key use cases such as automated reporting, anomaly detection, network analysis, and risk dashboards that improve visibility into financial systems and emerging…