Description
Fraud detection systems using machine learning analyze transactional data to identify and prevent fraudulent activities. These systems are designed to detect anomalies, unusual patterns, and suspicious behavior in real time. By leveraging AI, companies can enhance their ability to prevent fraud, reduce financial losses, and maintain trust with stakeholders. Fraud detection models can be trained to recognize both known fraud techniques and adapt to new, evolving tactics.
