SupTech Use Cases for Risk-Based Supervision
PanelShaping Supervision and Regulation
2026-11-11 | 12:00 PM - 01:00 PM
Information
- SupTech as an embedded feature within supervisory frameworks, pointing from its shift from mainstreaming technology to a regulatory core
- Automating data ingestion and validation, to enable continuous, real-time monitoring of regulated entities
- Deploying ML-driven risk scoring to prioritise supervisory attention and target inspections more precisely
- Using NLP to analyse regulatory filings, audit reports and market disclosures for early warning signals
- Building entity and transaction networks to detect contagion, concentration risk and emerging systemic vulnerabilities
- Applying anomaly detection to identify outlier behaviour, governance failures and conduct risk across institutions
