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Recognize the Many Faces of Fraud

Oct 26, 2012

Fraud is big business. The range of fraud and the resourcefulness of fraudsters pose a daunting problem for those charged with its detection and prevention. Yet each of these criminal activities leaves a trail of behavioural and transactional data that can be detected to prevent future transactions.

This whitepaper will discuss advanced statistical techniques that can:

  • Incorporate data from both numeric and textual records
  • Detect subtile patterns and associations and highlight cases most worth investigating
  • Identify fraudulent transactions as they happen when deployed in real-time systems

 Learn how your organization can use predictive analytics to streamline anomaly detection, even when fraudsters change their tactics.