
In the ever-evolving world of finance, predictive modeling has emerged as a critical technology for preempting and combating fraud. It moves beyond traditional security approaches that often rush to address sophisticated scams after the fact, to a data-driven strategy that anticipates and thwarts security threats before they materialize. This proactive risk management approach, powered by advanced algorithms and machine learning,









