SAS Detection and Investigation

SAS fraud detection and investigation software consolidates data from internal and external sources, and a fraud analytics engine processes all data (not just a sample) in real time or in batch. A hybrid analytic approach uses multiple techniques – automated business rules, predictive modeling, text mining, database searches, exception reporting, network link analysis, etc. – to detect fraud. 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.