Case Study: Leading Canadian Digital Bank achieves real-time fraud detection and decisioning with DataVisor

How a leading Canadian digital bank leveraged DataVisor’s solution to drive expansion while maintaining robust security

Leading Canadian Digital Bank faced rising, increasingly sophisticated fraud across real-time payments and multi-channel interactions that threatened customer experience and operational efficiency. To modernize detection and decisioning without adding friction, the bank turned to DataVisor and its Real‑Time Data Orchestration and Decisioning Platform to gain a unified, real‑time view of transactions and user behavior.

DataVisor implemented a cloud‑based orchestration layer with adaptive supervised and unsupervised machine learning plus a generative AI Co‑Pilot to automate rule tuning and feature generation. The platform enabled sub‑100ms decisioning at scale (15,000+ TPS) and delivered measurable improvements—up to a 60% reduction in fraud losses, a fivefold increase in early detection, a reported 50% lift in approval rates and dramatic gains in operational efficiency—helping the bank reduce fraud, speed decisions, and improve customer experience.