Dubbed ArcSight FraudView, the application gathers transaction and account data from various systems and applies three types of analyses for fraud detection: pattern recognition, fraud-focused correlation and automatic account escalation. The latter enables the application to aggregate the results of multiple risk rules to select a particular account for further review. Via a pattern recognition analysis, ArcSight FraudView identifies activity patterns that are linked to fraudulent or suspicious transactions, after which it creates new detection rules according to such patterns. The fraud-focused correlation analysis enables ArcSight FraudView to provide a transaction risk score based on multiple risk areas, such as device, account, transaction and destination risk.
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