Features:
● Real-Time Behavioral Pattern: The machine learning system helps to determine behavioral activities in a transaction taking place that includes customers, distinct accounts, various merchants, multiple devices and much more.
● Machine Learning Supervision: It comes with specific models and has been tested by accumulating billions of illegitimate and legitimate transactional exemplars.
● Automated Machine Learning: It comes with non-supervised and auto-learning AI that consistently detects suspicious transactions as well as behaviors.
● Analytics: It can adjust fraudulent models automatically that are based on an analysis of cases. This AI can identify the latest fraud patterns and legitimate behavioral transactions of consumers.