Generating a correlation search
    1.
    发明授权

    公开(公告)号:US11928118B2

    公开(公告)日:2024-03-12

    申请号:US17833816

    申请日:2022-06-06

    Applicant: Splunk Inc.

    Abstract: Systems and methods for assigning scores to objects based on evaluating triggering conditions applied to datasets produced by search queries in data aggregation and analysis systems. An example method includes causing display of a user interface for generating a correlation search, the correlation search comprising a search query, a triggering condition to be applied to a dataset produced by the search query, and one or more actions to be performed when the dataset produced by the search query satisfies the triggering condition, wherein the one or more actions comprise at least modifying a score assigned to an object to which the dataset produced by the search query pertains. The example method also includes receiving, via the user interface, user input identifying the one or more actions to be performed when the dataset produced by the search query satisfies the triggering condition, the one or more actions comprising modifying the score assigned to the object, and causing generation of the correlation search based on the user input, the correlation search reflecting an association between the one or more actions and the triggering condition.

    Systems and methods for displaying adjustable metrics on real-time data in a computing environment

    公开(公告)号:US11831523B2

    公开(公告)日:2023-11-28

    申请号:US16741450

    申请日:2020-01-13

    Applicant: SPLUNK INC.

    Abstract: A system and computer-implemented is provided for displaying a configurable metric relating to an environment in a graphical display along with a value of the metric calculated over a configurable time period. The metric is used to identify events of interest in the environment based on processing real time machine data from one or more sources. The configurable metric is selected and a corresponding value is calculated based on the events of interest over the configurable time period. The value of the metric may be continuously updated in real time based on receiving additional real-time machine data and displayed in a graphical interface as time progresses. Statistical trends in the value of the metric may also be determined over the configurable time period and displayed in the graphical interface as well as an indication if the value of the metric exceeds a configurable threshold value. Further, a selection of one or more thresholds for the value of the metric may be applied and an indication displayed indicating if the threshold(s) have been exceeded.

    DETECTION OF POTENTIAL SECURITY THREATS IN MACHINE DATA BASED ON PATTERN DETECTION

    公开(公告)号:US20200169579A1

    公开(公告)日:2020-05-28

    申请号:US16777544

    申请日:2020-01-30

    Applicant: SPLUNK INC.

    Abstract: A metric value is determined for each event in a set of events that characterizes a computational communication or object. For example, a metric value could include a length of a URL or agent string in the event. A subset criterion is generated, such that metric values within the subset are relatively separated from a population's center (e.g., within a distribution tail). Application of the criterion to metric values produces a subset. A representation of the subset is presented in an interactive dashboard. The representation can include unique values in the subset and counts of corresponding event occurrences. Clients can select particular elements in the representation to cause more detail to be presented with respect to individual events corresponding to specific values in the subset. Thus, clients can use their knowledge system operations and observance of value frequencies and underlying events to identify anomalous metric values and potential security threats.

    Graphical display of events indicating security threats in an information technology system

    公开(公告)号:US10382472B2

    公开(公告)日:2019-08-13

    申请号:US15996866

    申请日:2018-06-04

    Applicant: SPLUNK INC.

    Abstract: A disclosed computer-implemented method includes receiving and indexing the raw data. Indexing includes dividing the raw data into time stamped searchable events that include information relating to computer or network security. Store the indexed data in an indexed data store and extract values from a field in the indexed data using a schema. Search the extracted field values for the security information. Determine a group of security events using the security information. Each security event includes a field value specified by a criteria. Present a graphical interface (GI) including a summary of the group of security events, other summaries of security events, and a remove element (associated with the summary). Receive input corresponding to an interaction of the remove element. Interacting with the remove element causes the summary to be removed from the GI. Update the GI to remove the summary from the GI.

    Displaying Network Security Events and Investigation Activities Across Investigation Timelines

    公开(公告)号:US20190166146A1

    公开(公告)日:2019-05-30

    申请号:US16264561

    申请日:2019-01-31

    Applicant: Splunk Inc,

    Abstract: Techniques and mechanisms are disclosed that enable network security analysts and other users to efficiently conduct network security investigations and to produce useful representations of investigation results. As used herein, a network security investigation generally refers to an analysis by an analyst (or team of analysts) of one or more detected network events that may pose internal and/or external threats to a computer network under management. A network security application provides various interfaces that enable users to create investigation timelines, where the investigation timelines display a collection of events related to a particular network security investigation. A network security application further provides functionality to monitor and log user interactions with the network security application, where particular logged user interactions may also be added to one or more investigation timelines.

    Capture triggers for capturing network data

    公开(公告)号:US09843598B2

    公开(公告)日:2017-12-12

    申请号:US15421269

    申请日:2017-01-31

    Applicant: Splunk Inc.

    CPC classification number: H04L63/1425 H04L63/0218 H04L63/0236

    Abstract: The disclosed embodiments provide a system that facilitates the processing of network data. During operation, the system provides a risk-identification mechanism for identifying a security risk from time-series event data generated from network packets captured by one or more remote capture agents distributed across a network. Next, the system provides a capture trigger for generating additional time-series event data from the network packets on the one or more remote capture agents based on the security risk, wherein the additional time-series event data includes one or more event attributes.

    Detection of Potential Security Threats Based on Categorical Patterns
    7.
    发明申请
    Detection of Potential Security Threats Based on Categorical Patterns 审中-公开
    基于分类模式检测潜在的安全威胁

    公开(公告)号:US20170048265A1

    公开(公告)日:2017-02-16

    申请号:US15339955

    申请日:2016-11-01

    Applicant: Splunk Inc.

    Abstract: A metric value is determined for each event in a set of events that characterizes a computational communication or object. For example, a metric value could include a length of a URL or agent string in the event. A subset criterion is generated, such that metric values within the subset are relatively separated from a population's center (e.g., within a distribution tail). Application of the criterion to metric values produces a subset. A representation of the subset is presented in an interactive dashboard. The representation can include unique values in the subset and counts of corresponding event occurrences. Clients can select particular elements in the representation to cause more detail to be presented with respect to individual events corresponding to specific values in the subset. Thus, clients can use their knowledge system operations and observance of value frequencies and underlying events to identify anomalous metric values and potential security threats.

    Abstract translation: 为表征计算通信或对象的一组事件中的每个事件确定度量值。 例如,度量值可以包括事件中的URL或代理字符串的长度。 生成子集标准,使得子集内的度量值与群体的中心(例如,分布尾部)相对分开。 将标准应用于度量值产生一个子集。 该子集的表示呈现在交互式仪表板中。 该表示可以包括子集中的唯一值和相应事件发生的计数。 客户端可以选择表示中的特定元素,以便相对于子集中的特定值对应的各个事件来呈现更多的细节。 因此,客户可以使用他们的知识系统操作和遵守价值频率和基础事件来识别异常度量值和潜在的安全威胁。

    Systems and Methods for Indicating Deployment of Application Features
    8.
    发明申请
    Systems and Methods for Indicating Deployment of Application Features 审中-公开
    指示部署应用程序功能的系统和方法

    公开(公告)号:US20160308733A1

    公开(公告)日:2016-10-20

    申请号:US14690741

    申请日:2015-04-20

    Applicant: Splunk Inc.

    CPC classification number: H04L67/02 H04L67/34 H04L67/36

    Abstract: Provided are systems and methods for indicating deployment of application features. In one embodiment, a method is provided that includes determining available features of a current deployment of an application for receiving machine-generated data from one or more data sources of a data system, determining un-deployed features of the current deployment of the application, wherein the un-deployed features comprise one or more of the available features that is configured to use input data from a data source and wherein the input data is not available to the feature in the current deployment of the application, and causing display of a deployment graphical user interface (GUI) that comprises an indication of the un-deployed features.

    Abstract translation: 提供了用于指示部署应用程序功能的系统和方法。 在一个实施例中,提供了一种方法,其包括确定用于从数据系统的一个或多个数据源接收机器生成的数据的应用的当前部署的可用特征,确定应用的当前部署的未部署的特征, 其中未部署的特征包括被配置为使用来自数据源的输入数据的一个或多个可用特征,并且其中所述输入数据对所述应用的当前部署中的所述特征不可用,并且导致展开 图形用户界面(GUI),其包括未部署的特征的指示。

    Identifying Possible Security Threats Using Event Group Summaries
    9.
    发明申请
    Identifying Possible Security Threats Using Event Group Summaries 有权
    使用事件组摘要识别可能的安全威胁

    公开(公告)号:US20160182546A1

    公开(公告)日:2016-06-23

    申请号:US15056999

    申请日:2016-02-29

    Applicant: Splunk Inc.

    Abstract: A disclosed computer-implemented method includes receiving and indexing the raw data. Indexing includes dividing the raw data into time stamped searchable events that include information relating to computer or network security. Store the indexed data in an indexed data store and extract values from a field in the indexed data using a schema. Search the extracted field values for the security information. Determine a group of security events using the security information. Each security event includes a field value specified by a criteria. Present a graphical interface (GI) including a summary of the group of security events, other summaries of security events, and a remove element (associated with the summary). Receive input corresponding to an interaction of the remove element. Interacting with the remove element causes the summary to be removed from the GI. Update the GI to remove the summary from the GI.

    Abstract translation: 所公开的计算机实现的方法包括接收和索引原始数据。 索引包括将原始数据划分为包含与计算机或网络安全相关的信息的时间戳搜索事件。 将索引数据存储在索引数据存储中,并使用模式从索引数据中的字段中提取值。 搜索提取的字段值以获取安全信息。 使用安全信息确定一组安全事件。 每个安全事件都包括由条件指定的字段值。 提供包括安全事件组的摘要,安全事件的其他摘要和删除元素(与摘要相关联)的图形界面(GI)。 接收与删除元素的交互相对应的输入。 与删除元素进行交互会导致摘要从GI中移除。 更新GI以从GI中删除摘要。

    CAPTURE TRIGGERS FOR CAPTURING NETWORK DATA
    10.
    发明申请
    CAPTURE TRIGGERS FOR CAPTURING NETWORK DATA 有权
    捕获网络数据的捕获触发器

    公开(公告)号:US20160127401A1

    公开(公告)日:2016-05-05

    申请号:US14528918

    申请日:2014-10-30

    Applicant: Splunk Inc.

    CPC classification number: H04L63/1425 H04L63/0218 H04L63/0236

    Abstract: The disclosed embodiments provide a system that facilitates the processing of network data. During operation, the system provides a risk-identification mechanism for identifying a security risk from time-series event data generated from network packets captured by one or more remote capture agents distributed across a network. Next, the system provides a capture trigger for generating additional time-series event data from the network packets on the one or more remote capture agents based on the security risk, wherein the additional time-series event data includes one or more event attributes.

    Abstract translation: 所公开的实施例提供了有助于网络数据的处理的系统。 在运行期间,系统提供一种风险识别机制,用于从由分布在网络上的一个或多个远程捕获代理捕获的网络分组产生的时间序列事件数据中识别安全风险。 接下来,系统提供捕获触发器,用于基于安全风险从一个或多个远程捕获代理上的网络分组生成附加的时间序列事件数据,其中附加的时间序列事件数据包括一个或多个事件属性。

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