Splunk Inc.

Splunkinc.

Lucas Keith Murphey

David Hazekamp

John Robert Coates

James Hansen

Alexander Lynn Raitz

Munawar Monzy Merza

Michael Kinsley

Sourabh Satish

Allison Lindsey Drake

Marios Iliofotou

Chinmay Madhav Kulkarni

Patrick Schulz

Amarendra Pendala

Francis E Gerard

James Irwin Ebeling

Richard Barger

Bhavin Patel

Mihir Randhir Parikh

Krishna Prasanna Sankaran

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

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

Security related anomalies in the data related to network entities are identified, and a risk score is assigned to each entity based on the anomalies. Visualization data is generated for a color-coded interactive visualization. Generating the visualization data includes assigning each entity to a separate polygon to be displayed concurrently on a display screen; selecting a size of each polygon to indicate one of: a number of security related anomalies associated with the entity, or a risk level assigned to the entity, where the risk level is based on the risk score of the entity, and selecting a color of each polygon to indicate the other one of: the number of security related anomalies associated with the entity, or the risk level assigned to the entity; and causing, the color-coded interactive visualization to be displayed on a display device based on the visualization data.

Polygon based interactive security visualization of network entity data

Techniques and mechanisms are disclosed for a data intake and query system to generate 'meta-notable' events by applying a meta-notable event rule to a collection of notable event data. A meta-notable event rule specifies one or more patterns of notable event instances defined by a set of notable event states and a set of transition rules (also referred to as association rules) indicating conditions for transitioning from one notable event state to another. The set of notable event states includes at least one start state and at least one end state. A meta-notable event is generated when a set of analyzed notable events satisfies a set of transition rules linking a start state to an end state (including transitions through any intermediary states between the start state and the end state).

Generating meta-notable event summary information

Interactive security visualization of network entity data

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.

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.

Object score adjustment based on analyzing machine data

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 comprise a portion of 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 applied to a dataset that is produced by the search query, receive a definition of one or more actions to be performed when the dataset produced by the search query satisfies the triggering condition, test the search query with the triggering condition, and cause, based on results of the testing, generation of the correlation search using the defined search query, the triggering condition, and the one or more actions, the correlation search comprising search processing language having the search query and a processing command for criteria on which the triggering condition is based.

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Indianapolis, IN, United States of America

Lucas Keith Murphey