Audience
Fraud Detection solution for companies
About Pointer
Fraud DetectionToday’s fraud control applications are based on documenting the problem and defining expert rules to stop it. Given the volume and the dynamics of fraud, this method is not effective. POINTER provides a pro-active approach to immediately identify fraud by understanding the source of the transaction as not a “typical” one from the user. POINTER uses a unique mathematical model and sophisticated data mining techniques to create a dynamic Personal Symbolic Vector. Auto-learning techniques ensure that the system can incorporate realistic changes in behavior over time. This capability ensures that the user profile is always up to date and that the latest expert rules can be incorporated to detect possible fraud. POINTER reduces dramatically the amount of false alerts requiring less research time by personnel and improving customer service at the same time. These parameters can be fine-tuned by the institution to ensure best balance.