SYSTEM FOR QUANTIFICATION OF CYBERSECURITY MODULE EFFICACY USING Q-MATRIX BASED CORRELATION ANALYSIS

    公开(公告)号:US20220398323A1

    公开(公告)日:2022-12-15

    申请号:US17342870

    申请日:2021-06-09

    Abstract: A system is provided for quantification of cybersecurity module efficacy using Q-matrix based correlation analysis. In particular, the system may use Q-matrices to calculate adaptive correlation scores between cybersecurity module and expected and/or desired outcomes across one or more different dimensions. A first axis of the Q-matrix for a particular cybersecurity module may be populated with one or more key elements of the cybersecurity module, while a second axis of the Q-matrix may comprise the outputs or metrics that may be used to quantify the efficacy of the cybersecurity module with respect to the key elements as represented on the first axis. The correlation scores may then be used as inputs into a decisioning engine that may be used to drive entity-wide decisioning processes based on the outputs of the Q-matrix based analysis.

    System for quantification of cybersecurity module efficacy using Q-matrix based correlation analysis

    公开(公告)号:US11934532B2

    公开(公告)日:2024-03-19

    申请号:US17342870

    申请日:2021-06-09

    CPC classification number: G06F21/577 G06F17/16 G06F17/18 G06F2221/034

    Abstract: A system is provided for quantification of cybersecurity module efficacy using Q-matrix based correlation analysis. In particular, the system may use Q-matrices to calculate adaptive correlation scores between cybersecurity module and expected and/or desired outcomes across one or more different dimensions. A first axis of the Q-matrix for a particular cybersecurity module may be populated with one or more key elements of the cybersecurity module, while a second axis of the Q-matrix may comprise the outputs or metrics that may be used to quantify the efficacy of the cybersecurity module with respect to the key elements as represented on the first axis. The correlation scores may then be used as inputs into a decisioning engine that may be used to drive entity-wide decisioning processes based on the outputs of the Q-matrix based analysis.

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