Financial transactions have shifted online, making fraud detection more challenging. Technology infrastructure and machine learning algorithms are crucial in detecting and preventing fraudulent activities. Integrating diverse data sources and analyzing rich datasets can improve accuracy in identifying anomalies and suspicious patterns.
