Fraud analytics

Fraud analytics refers to the application of data analysis techniques—such as statistical modeling, machine learning, and artificial intelligence—to detect, prevent, and predict fraudulent activity. It enables organizations to assess large volumes of data in real time and identify suspicious behavior, anomalies, or potential threats before they cause damage. Why is Fraud Analytics Important? Fraud results…