Automatic entity definitions based on derived content

    公开(公告)号:US11768836B2

    公开(公告)日:2023-09-26

    申请号:US16582205

    申请日:2019-09-25

    申请人: Splunk Inc.

    CPC分类号: G06F16/24573 G06Q10/00

    摘要: A service monitoring system (SMS) produces key performance indicator (KPI) scores that indicate the performance of a service. To produce the KPI scores, the SMS may process the data for a large number of machine entities that perform the service. This data can be processed on a per-entity basis to produce a per-entity KPI score representing the contribution of a particular machine to the overall KPI. The per-entity KPI scores can be transformed to statistical representations which can be visualized as a distribution stream graph. The visualization may be presented with interactive aspects. Automatic entity definitions may also be generated based on content derived from the processed data.

    Performing iterative entity discovery and instrumentation

    公开(公告)号:US11755453B1

    公开(公告)日:2023-09-12

    申请号:US17973394

    申请日:2022-10-25

    申请人: SPLUNK Inc.

    IPC分类号: G06F9/44 G06F11/34

    CPC分类号: G06F11/3495

    摘要: In response to receiving a selection of an option to discover uninstrumented entities within a monitored environment, information retrieved from monitoring agents currently installed on instrumented entities within a system is analyzed to discover additional entities within the system that are connected to the instrumented entities. Each of these discovered entities is analyzed to determine whether a monitoring agent is able to be installed within the entity; if installation is possible, such installation is automatically performed (or a guided manual installation is implemented utilizing an interface). After a monitoring agent is installed within a discovered entity, information is retrieved from that monitoring agent may be used to discover additional entities within the system that are connected to that discovered entity. In this way, an iterative discovery of all entities within a system may be performed. Results of this iterative discovery may be presented via an interface.

    Correlating forensic and non-forensic data in an information technology environment

    公开(公告)号:US11743285B2

    公开(公告)日:2023-08-29

    申请号:US16528397

    申请日:2019-07-31

    申请人: Splunk Inc.

    发明人: Brian Luger

    IPC分类号: H04L9/40

    摘要: Techniques and mechanisms are disclosed enabling efficient collection of forensic data from client devices, also referred to herein as endpoint devices, of a networked computer system. Embodiments described herein further enable correlating forensic data with other types of non-forensic data from other data sources. A network security application described herein further enables generating various dashboards, visualizations, and other interfaces for managing forensic data collection, and displaying information related to collected forensic data and information related to identified correlations between items of forensic data and other items of non-forensic data.