Automatic identification of clear text secrets

    公开(公告)号:US11853453B1

    公开(公告)日:2023-12-26

    申请号:US16365891

    申请日:2019-03-27

    Applicant: Intuit Inc.

    CPC classification number: G06F21/6245 G06F16/245 G06F16/285

    Abstract: A processor may receive clear text data. The processor may represent at least a portion of the clear text data as at least one array encoding a description of at least one feature of the clear text data. The processor may process the at least one array using a clustering algorithm to determine whether the at least one array is grouped with a benign cluster or a sensitive cluster of a model. In response to determining that the at least one array is grouped with the sensitive cluster, the processor may generate an alert indicating that the clear text data includes sensitive information.

    Database-documentation propagation via temporal log backtracking

    公开(公告)号:US11169979B2

    公开(公告)日:2021-11-09

    申请号:US16731399

    申请日:2019-12-31

    Applicant: INTUIT INC.

    Abstract: Aspects of the present disclosure provide techniques for database documentation propagation. Embodiments include scanning a log comprising a plurality of database queries to identify one or more database queries of the plurality of database queries, the one or more database queries being associated with generating a new table of a database based on information in an existing table of the database. Embodiments include generating, based on the one or more database queries identified during the scanning, a directed acyclic graph (DAG) comprising: a first vertex representing the existing table; a second vertex representing the new table; and a directed edge connecting the first vertex to the second vertex. Embodiments include obtaining documentation associated with the existing table. Embodiments include propagating, based on the DAG, at least a subset of the documentation associated with the existing table to the new table.

    Method and system for detecting fraudulent transactions in information technology networks

    公开(公告)号:US12229777B1

    公开(公告)日:2025-02-18

    申请号:US16290186

    申请日:2019-03-01

    Applicant: Intuit Inc.

    Abstract: A method for detecting fraudulent financial transactions in information technology networks involves obtaining a multitude of features associated with a financial transaction conducted over an information technology network by an unknown transaction party. The multitude of features includes clickstream data obtained from the unknown transaction party. The clickstream data is associated with data of the financial transaction being entered by the unknown transaction party. The method further involves obtaining a first fraud indicator using a machine learning classifier operating on the multitude of features, obtaining a second fraud indicator using a rule-based classifier operating on the multitude of features, obtaining a fraud prediction for the financial transaction, using the first fraud indicator and the second fraud indicator, and taking an action, in response to the fraud prediction.

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