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Dynamic conditions in retail banking markets are making fraud detection more difficult. Both the business rules that banks have traditionally used to monitor channels and the sophisticated neutral network models that perform more accurate pattern-based detection are built from historical data. When economic shocks cause significant changes in customer transactional behavior or when banks launch new channels or change policies, historical data becomes a less reliable indicator of current and future customer behavior.