Fraud is becoming more sophisticated, while traditional rules and fragmented systems are struggling to keep pace. AI can improve detection by identifying anomalies earlier, reducing false positives and uncovering connections between accounts, devices and people involved in fraud. But its success depends on three foundations: high-quality data, explainable models and effective information sharing & collaboration between institutions.
