Take a unique, hybrid approach to fraud detection and prevention.
Detect more fraud – before losses occur.
Our fraud detection and investigation software consolidates massive amounts of data from internal and external sources, and a powerful fraud analytics engine processes all data (not just a sample) in real time or in batch. A unique, hybrid analytic approach uses multiple techniques – automated business rules, predictive modeling, text mining, database searches, exception reporting, network link analysis, etc. – to detect more fraud with greater accuracy. Advanced analytics with embedded AI and machine learning techniques, combined with traditional detection methods, can identify known and unknown patterns, as well as evolve and adapt over time.
Gain a consolidated view of fraud risk.
Identify cross-brand/product fraud by seeing all associated customer information across all lines of business in one consolidated view. A unique visualization interface lets you spot linked entities and crime rings that you would otherwise miss. Social network diagrams and sophisticated data mining capabilities enable you to better understand new fraud threats, so you can prevent substantial losses early. And stay on top of changing fraud trends by continuously improving models and adapting the system.
Increase operational efficiencies.
The solution applies risk- and value-based scoring models to accurately score and prioritize alerts before they go to investigators. Advanced case management tools help streamline investigations and boost investigator efficiency. With the time saved, investigators can work more cases with greater effectiveness, and focus on higher-value networks that generate a better ROI. More accurate scoring also means fewer false positives – and that translates to less customer inconvenience and greater customer satisfaction.
A powerful fraud analytics engine uses multiple techniques, including advanced analytics with embedded artificial intelligence (AI) and machine learning, to uncover more suspicious activity than ever before. Alerts are scored and prioritized based on severity, then routed to investigators or analysts for a more in-depth review.
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