Pointer Description
Fraud DetectionToday's fraud controls are based on documenting the problem, and defining expert rules to stop it. This method is not efficient due to the volume and dynamics of fraud. POINTER is a proactive approach to quickly identify fraud by identifying the source of the transaction. It does this by recognizing that the source is not a "typical" transaction from the user. POINTER creates a dynamic Personal Symbolic Vector using a unique mathematical model combined with sophisticated data mining techniques. The system can learn from past behavior changes and incorporate them into the system. This feature ensures that user profiles are always up-to-date and that expert rules can be used to detect fraud. POINTER significantly reduces false alerts, requiring less research time from staff and improving customer service. The institution can fine-tune these parameters to achieve the best balance.
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