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    Identity resolution
    3.
    发明授权
    Identity resolution 有权

    公开(公告)号：US11675771B1

    公开(公告)日：2023-06-13

    申请号：US17084239

    申请日：2020-10-29

    Applicant: Splunk Inc.

    Inventor： Sumit Singh Bagga ,  Robin Jinyang Hu ,  Marios Iliofotou ,  Amarendra Pendala

    IPC: G06F16/23 ,  G06F16/22 ,  H04L67/146 ,  G06F11/34 ,  G06F16/27

    CPC classification number: G06F16/2322 ,  G06F11/3409 ,  G06F16/2282 ,  G06F16/273 ,  H04L67/146

    Abstract: An identify resolution system performs actions comprises a set-up process and an identity resolution process that executes asynchronously with respect to the set-up process. the set-up process includes accessing machine data including a plurality of event data objects, each event data object of the plurality of event data objects including timestamped raw machine-generated data indicative of performance or operation of one or more entities in a computer network environment. The identity resolution process ascertains the identity of an entity associated with the computer network environment, based on the association data in the data store, wherein the identity of the entity is not expressed directly in the association data in the data store.

    Analysis and mitigation of network security risks
    4.
    发明授权
    Analysis and mitigation of network security risks 有权

    公开(公告)号：US11949702B1

    公开(公告)日：2024-04-02

    申请号：US18052030

    申请日：2022-11-02

    Applicant: Splunk Inc.

    Inventor： Sumit Singh Bagga ,  Francis E. Gerard ,  Robin Jinyang Hu ,  Marios Iliofotou ,  J. Evan Jordan ,  Amarendra Pendala ,  Sourabh Satish

    IPC: H04L12/00 ,  H04L9/40 ,  H04L65/61

    CPC classification number: H04L63/1425 ,  H04L65/61

    Abstract: A method comprises acquiring anomaly data including a plurality of anomalies detected from streaming data, wherein each of the anomalies relates to an entity on or associated with a computer network. The method determines a risk score of each of the anomalies, and adjusts the risk score of an anomaly according to a set of factors. The method further determines, for each of a plurality of sliding time windows of different lengths, an entity score of the entity in relation to the sliding time window, based on an aggregation of risk scores of all anomalies related to the entity that were detected within the sliding time window, where the entity score corresponds to a risk level associated with the entity. An action to prevent the entity from performing an operation can be determined and caused to occur based on the entity score.

    Cybersecurity risk analysis and mitigation
    6.
    发明授权
    Cybersecurity risk analysis and mitigation 有权

    公开(公告)号：US11552974B1

    公开(公告)日：2023-01-10

    申请号：US17086146

    申请日：2020-10-30

    Applicant: Splunk Inc.

    Inventor： Sumit Singh Bagga ,  Francis E. Gerard ,  Robin Jinyang Hu ,  Marios Iliofotou ,  J. Evan Jordan ,  Amarendra Pendala ,  Sourabh Satish

    IPC: H04L12/00 ,  H04L9/40 ,  H04L65/61

    Abstract: A method comprises acquiring anomaly data including a plurality of anomalies detected from streaming data, wherein each of the anomalies relates to an entity on or associated with a computer network. The method determines a risk score of each of the anomalies, and adjusts the risk score of an anomaly according to a set of factors. The method further determines, for each of a plurality of sliding time windows of different lengths, an entity score of the entity in relation to the sliding time window, based on an aggregation of risk scores of all anomalies related to the entity that were detected within the sliding time window, where the entity score corresponds to a risk level associated with the entity. An action to prevent the entity from performing an operation can be determined and caused to occur based on the entity score.

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