Uncovering Financial Fraud with Graph Machine Learning at Scale

Learn how to deploy graph-based machine learning at scale for financial fraud detection in this 30-minute conference talk from MLOps World. Discover how Vanguard has transformed fraud detection from analyzing isolated events to understanding networks of coordinated activity using graph machine learning techniques. Explore the architecture of production-ready systems that convert raw signals into dynamic, evolving graphs to enable proactive fraud discovery and enhanced risk mitigation. Understand how structured reasoning improves model transparency, supports investigative workflows, and aligns machine learning outputs with business and regulatory requirements. Gain practical insights into implementing graph-based intelligence in high-stakes financial environments, including techniques for capturing complex entity relationships, detecting emerging fraud patterns, and surfacing relational signals that traditional approaches often miss.