Sumo Logic, Inc.

Hewlett-packard Development Company, L.p.

Arcsight Inc

Entit Software LLC

Factorchain Inc.

Kenny Tidwell

David Frampton

Brendan O'Connell

Kumar Saurabh

Pravin Kothari

Hugh S Njemanze

Debabrata Dash

Christian Friedrich Beedgen

Ankur Lahoti

Chad Ward

Anurag Singla

A processing device receives a first query comprising a first field value and a first time period. The processing device performs a first search of a data store to identify a first plurality of events having the first time period and at least one field that comprises the first field value. The processing device generates a first search object comprising the first field value. The processing device generates a search event comprising the first field value and a reference to the first search object. An event entry for the first search event is then written to the data store. Future searches may return both the first search event and other events.

Searchable investigation history for event data store

A method includes defining a set of context types; defining a set of source types, each comprising context types; defining, for each source type, and for each context type included in the events from data sources having the source type, a context definition comprising a set of fields, in events from the data sources, that are associated with the context type; receiving a query comprising a first field value and a time period; retrieving a plurality of events that include the first field value and the time period; for each retrieved event, and for each context definition defined for a source type and a context type of a data source from which the retrieved event originated, determining field values of fields in the set of fields of the context definition; aggregating, for each context type, determined field values from the events; and generating an output.

User interface for event data store

Context-aware event data store

A processing device receives a first query comprising a first field value and a first time period. The processing device performs a first search of a data store to identify a first plurality of events having the first time period and at least one field that comprises the first field value. The processing device generates a first search object comprising the first field value. The first search object may be a data structure, file or data record, and is stored in the data store. The processing device generates a search event comprising the first field value and a reference to the first search object. An event entry for the first search event is then written to the data store. Future searches may return both the first search event and other events, as well as search objects.

A processing device receives a query comprising a first field value and a time period and performs a first search of a data store using the first field value to identify a plurality of events having the time period and a field that comprises the first field value. The processing device determines a first subset of the plurality of events associated with a first context definition and determines a plurality of fields specified in the first context definition. The processing device determines, for events in the first subset, field values of one or more fields specified in the first context definition. The processing device generates a report based on the field values of the one or more fields specified in the first context definition from the events in the first subset. The processing device generates a response to the query that comprises at least a portion of the report.

A processing device receives a query comprising a first field value and a time period. The processing device performs a first search of a data store using the first field value to identify a first plurality of events having the time period and a field that comprises the first field value. The processing device determines, for one of the plurality of events, a second field value of a second field that is specified in a first context definition, the second field having an assigned field type. The processing device automatically performs a second search of the data store using the additional field value to identify a second plurality of events having the time period and the additional field value. Information from the first plurality of events and the second plurality of events is aggregated, and a response to the query is generated that comprises the aggregated information.

Automatic recursive search on derived information

A processing device receives a plurality of discrete log entries from a first data store and generates an event for each discrete log entry that satisfies a criterion. To generate an event the processing device determines a source type associated with a discrete log entry, parses the discrete log entry based on the source type, determines a plurality of fields of the discrete log entry, identifies a subset of the plurality of fields, wherein one or more fields in the subset are to be used as link keys for linking together events, and assigns a field type to each field in the subset of the plurality of fields. The processing device additionally writes a plurality of event entries for the event into a second data store. A separate event entry is written for each field of the subset of the plurality of fields having an assigned field type.

Non-homogenous storage of events in event data store

A session table includes one or more records, where each record represents a session. Session record information is stored in various fields, such as key fields, value fields, and timestamp fields. Session information is described as keys and values in order to support query/lookup operations. A session table is associated with a filter, which describes a set of keys that can be used for records in that table. A session table is populated using data contained in security information/events. Rules are created to identify events related to session information, extract the session information, and use the session information to modify a session table. A session table is partitioned so that the number of records in each session table partition is decreased. A session table is processed periodically so that active sessions are moved to the current partition.

Tracking changing state data to assist in computer network security

A processing device receives a plurality of discrete log entries from a first data store and generates an event for each discrete log entry that satisfies a criterion. To generate an event the processing device determines a source type associated with a discrete log entry, parses the discrete log entry based on the source type, determines a plurality of fields of the discrete log entry, identifies a subset of the plurality of fields, wherein one or more fields in the subset are to be used as keys for indexing events, and assigns a field type to each field in the subset of the plurality of fields. The processing device additionally writes a plurality of event entries for the event into a second data store. A separate event entry is written for each field of the subset of the plurality of fields having an assigned field type.

Event context management system

Different network segments can have overlapping address spaces. In one embodiment, the present invention includes a distributed agent of a security system receiving a security event from a network device monitored by the agent. In one embodiment, the agent normalizes the security event into an event schema including one or more zone fields. In one embodiment, the agent also determines one or more zones associated with the received security event, the one or more zones each describing a part of a network, and populates the one or more zone fields using the determined one or more zones.

Network zone identification in a network security system

A network security system having a hierarchical configuration is provided. In one embodiment the present invention includes a plurality of subsystems, where each subsystem includes a plurality of distributed software agents configured to collect base security events from monitor devices, and a local manager module coupled to the plurality of distributed software agents to generate correlated events by correlating the base security events. Each subsystem can also include a filter coupled to the manager module to select which base security events are to be processed further. The selected base security events are passed to a global manager module coupled to the plurality of subsystems that generates global correlated events by correlating the base security events selected for further processing by each filter of each subsystem.

Hierarchical architecture in a network security system

Events are received from a plurality of security devices (which may be similar or different devices, e.g., intrusion detection systems configured to monitor network traffic) and divided into a plurality of event flows. Comparing the event flows (e.g., using statistical correlation methods) then generates one or more meta-events. The received events may be divided into different event flows on the basis of the security device which generated the events. The meta-events may be generated by evaluating a perimeter defense device through comparison of the different event flows. In some cases, various ones of the security devices may be inside or outside a perimeter defined by the perimeter defense device.

Comparing events from multiple network security devices

A system can be configured using configuration objects that have the ability to refer to one another. In one embodiment, the present invention includes such a system having a plurality of objects used to configure the system, each object having a uniform resource identifier (URI), and an object reference table to enable the plurality of objects to reference each other without using URIs.

Growing community of inventors

Los Altos, CA, United States of America

Kenny Tidwell