Self-learning real-time prioritization of telecommunication fraud control actions
AssigneeFair Isaac Corporation
InventorsJustin Lawyer, Alex Barclay, Dirk Englund, Robert Holmes, Dimpy Pathria, Tim Roach, Scott Zoldi
Life of this patent
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Abstract
A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.
Claims12
A method for detecting telecommunications fraud, comprising:
- receiving at least one call data record (CDR) of a telephone call from a telephone company (TelCo);
- checking the CDR against a plurality of rules;
- responsive to a determination that at least one of the rules has been satisfied by the CDR, generating an alert;
- and
- scoring the alert by a predictive model to determine a likelihood that the telephone call is fraudulent.
A method for detecting telecommunications fraud, comprising:
- receiving a record of telecommunications activity by a caller;
- responsive to a determination that the record includes unusual activity of the caller with respect to either the caller's prior calls or rules defining unusual activity:
- using a predictive model to determine a likelihood that the unusual activity is associated with telecommunications fraud.
Dependencies are inferred from the claim text.