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:
In various implementations, a computer-implemented method for remotely managing settings of applications includes receiving a network communication from a managed device, the received network communication including a client-side hash value. The method further includes identifying settings for an application on the managed device in response to the receiving of the network communication, where the identified settings include configuration instructions for the application. Based on a comparison between the received client-side hash value and a server-side hash value that corresponds to the identified settings, at least some of the identified settings are transmitted to the managed device. The transmitting of the at least some of the identified settings can be based on the comparison indicating a mismatch between the received client-side hash value and the server-side hash value. The method may also include completing processing of the received network communication after the transmitting of the at least some of the identified settings.
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:
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:
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:
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:
Systems and methods are disclosed for associating an entity with a risk score that may indicate a security threat associated with the entity's activity. An exemplary method may involve monitoring the activity of a subset of the set of entities (e.g., entities included in a watch list) by executing a search query against events indicating the activity of the subset of entities. The events may be associated with timestamps and may include machine data. Executing the search query may produce search results that pertain to activity of a particular entity from the subset. The search results may be evaluated based on a triggering condition corresponding to the statistical baseline. When the triggering condition is met, a risk score for the particular entity may be updated. The updated risk score may be displayed to a user via a graphical user interface (GUI).
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.
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.
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.