Splunk Inc.

Splunkinc.

David Hazekamp

Lucas Keith Murphey

John Robert Coates

Vijay Chauhan

Luke K Murphey

James Hansen

Alexander Lynn Raitz

Wenhui Yu

Devendra M Badhani

Cary Glen Noel

Banipal Shahbaz

Munawar Monzy Merza

Michael Kinsley

Liu-Yuan Lai

Patrick Schulz

Siri Atma Oaklander De Licori

Sri Atma Oaklander De Licori

Techniques and mechanisms are disclosed for configuring actions to be performed by a network security application in response to the detection of potential security incidents, and for causing a network security application to report on the performance of those actions. For example, users may use such a network security application to configure one or more 'modular alerts.' As used herein, a modular alert generally represents a component of a network security application which enables users to specify security modular alert actions to be performed in response to the detection of defined triggering conditions, and which further enables tracking information related to the performance of modular alert actions and reporting on the performance of those actions.

Executing modular alerts and associated security actions

One or more processing devices receive a definition of a search query for a correlation search of a data store, the data store comprising time-stamped events that each include raw machine data reflecting activity in an information technology environment and produced by a component of the information technology environment, receive a definition of a triggering condition to be evaluated based on aggregated statistics of values of one or more fields of a dataset produced by the search query, receive a definition of one or more actions to be performed when the triggering condition is satisfied, generate, using search processing language, a statement to define the search query and the triggering condition, and in view of the results of the execution of the search processing language, cause generation of the correlation search using the defined search query, the triggering condition, and the one or more actions, the correlation search comprising updated search processing language having the search query and a processing command for criteria on which the triggering condition is based.

Creating a correlation search

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.

Presenting un-deployed features of an application

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.

Automatic creation and updating of event group summaries

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.

Generating a correlation search

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.

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

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.

Generating investigation timeline displays including user-selected screenshots

Identifying un-deployed features of an application

Generating investigation timeline displays including activity events and investigation workflow events

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 may comprise providing an interface for generating a correlation search, the interface facilitating user input of (i) one or more search criteria for a search query of the correlation search, (ii) a triggering condition to be applied to a dataset produced by the search query, and (iii) one or more actions to be performed when the dataset produced by 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, and causing generation of the correlation search based on the user input.

A data intake and query system measures an amount of raw data ingested by the system during defined periods of time. As used herein, ingesting raw data generally refers to receiving the raw data from one or more computing devices and processing the data for storage and searchability. Processing the data may include, for example, parsing the raw data into 'events,' where each event includes a portion of the received data and is associated with a timestamp. Based on a calculated number of events generated by the system during one or more defined time periods, the system may calculate various metrics including, but not limited to, a number of events generated during a particular day, a number of events generated per day over a period of time, a maximum number of events generated in a day over a period of time, an average number of events generated per day, etc.

Identifying metrics related to data ingestion associated with a defined time period

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

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.

Detection of potential security threats in machine data based on pattern detection

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 may comprise: executing, by one or more processing devices, a search query to produce a dataset comprising one or more data items derived from source data; and responsive to determining that at least a portion of the dataset satisfies a triggering condition, modifying a score assigned to an object to which the portion of the dataset pertains.

Growing community of inventors

Tinley Park, IL, United States of America

David Hazekamp