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:
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.
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:
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.
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.