REAL-TIME ACCOUNT ANALYTICS FOR DETECTING FRAUDULENT ACTIVITY

    公开(公告)号:US20240046397A1

    公开(公告)日:2024-02-08

    申请号:US17880154

    申请日:2022-08-03

    CPC classification number: G06Q50/265 G06F21/6245

    Abstract: A system for detecting fraudulent activity using account analytics obtains an interaction record for an interaction between a remote device and a user account via an interaction channel, where the interaction is an attempt to access the user account, obtains historical data relating to the user account and the interaction channel that includes one or more historical interaction records relating to the user account and activity records relating to the interaction channel, calculates a threat score for the user account based on the interaction record and the one or more historical interaction records that indicates a likelihood that the user account is subject to fraudulent activity, generates a database record based on the interaction record that includes the threat score, and initiates corrective action if the threat score exceeds a predetermined threshold.

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