
In an era where financial transactions are increasingly digital, the specter of financial fraud looms larger than ever before. Conventional methods for detecting fraud have traditionally involved manual scrutiny of transaction records, cross-referencing data points, and conducting thorough audits. Despite these efforts, the burgeoning scale and sophistication of fraudulent activities have overwhelmed traditional approaches, making them increasingly inadequate. Enter artificial