REDUCING FALSE POSITIVES WITH TRANSACTION BEHAVIOR FORECASTING
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United States of America Patent
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app pub date -
Oct 22, 2014
filing date -
Aug 8, 2014
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Abandoned
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Abstract
An artificial intelligence fraud management system comprises a real-time analytics process for analyzing the behavior of a user from the transaction events they generate over a network. An initial population of smart agent profiles is stored in a computer file system and more smart agent profiles are added as required as transaction data is input. Transactions in particular merchant category codes (MCC) are likely to be followed by predictable related transactions. A forecast of those likely future transactions is calculated and used to desensitize corresponding smart agent profile datapoints. Fewer false positives are produced and overall fraud management performance is improved.
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