Experience & Education
Patents
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Risk detection of false customer information
Issued US11842354B1
A computing system includes one or more processors and one or more computer-readable storage media communicatively connected to the one or more processors. The one or more computer-readable storage media have instructions stored thereon that, when executed by the one or more processors, cause the one or more processors to receive a request from a user device to process an electronic transaction, identify an anomaly, transmit data corresponding to the anomaly to an interactive dashboard, receive…
A computing system includes one or more processors and one or more computer-readable storage media communicatively connected to the one or more processors. The one or more computer-readable storage media have instructions stored thereon that, when executed by the one or more processors, cause the one or more processors to receive a request from a user device to process an electronic transaction, identify an anomaly, transmit data corresponding to the anomaly to an interactive dashboard, receive a first response from the interactive dashboard, transmit an indication of one or more rule violations and instructions, receive a second response from the interactive dashboard, update the profile of a user.
Other inventorsSee patent -
System and methods for assessing risk of fraud in an electronic transaction
Issued US11416863B2
A computing system includes one or more processors and one or more computer-readable storage media communicatively connected to the one or more processors and having instructions stored thereon that, when executed, causes the one or more processors to receive a request from a user device to initiate an electronic transaction to a beneficiary, identify a risk associated with the beneficiary, calculate a risk score for the electronic transaction based on the risk, transmit a notification to the…
A computing system includes one or more processors and one or more computer-readable storage media communicatively connected to the one or more processors and having instructions stored thereon that, when executed, causes the one or more processors to receive a request from a user device to initiate an electronic transaction to a beneficiary, identify a risk associated with the beneficiary, calculate a risk score for the electronic transaction based on the risk, transmit a notification to the user device, wherein the notification causes display of one or more mitigation activities for reducing the risk, receive data from the user device associated with the one or more mitigation activities, compare the data with information corresponding to the beneficiary stored in a data store, recalculate the risk score based on the comparison, and transmit an electrical signal to the user device to cause the display of a result of the recalculation.
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Risk detection of false customer information
Issued US11132697B2
A computing system includes one or more processors and one or more computer-readable storage media communicatively connected to the one or more processors. The one or more computer-readable storage media have instructions stored thereon that, when executed by the one or more processors, cause the one or more processors to receive a request from a user device to process an electronic transaction, identify an anomaly associated with the electronic transaction, transmit a notification to the user…
A computing system includes one or more processors and one or more computer-readable storage media communicatively connected to the one or more processors. The one or more computer-readable storage media have instructions stored thereon that, when executed by the one or more processors, cause the one or more processors to receive a request from a user device to process an electronic transaction, identify an anomaly associated with the electronic transaction, transmit a notification to the user device to cause display of data corresponding to the anomaly on the user device, receive a response from the user device indicating that one or more risks associated with the anomaly are acceptable, and update a profile of the user stored in a data store to change a classification of the user from a first classification to a second classification based on the response.
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