Cross-Border Transaction Fraud Detection Workflow

Develop an event-driven automation framework for detecting and preventing international financial fraud in real-time transaction streams. The system must correlate transaction metadata across multiple dimensions (geolocation, transaction velocity, historical spending patterns), implement adaptive machine learning models for anomaly detection, and generate instant risk scores. Include automated escalation protocols for suspicious activities and seamless integration with existing financial messaging systems.