Abstract: An LLM log parsing service parses log data using at least one large language model. The LLM log parsing service, however, may evaluate multiple log parser candidates. Each log parser candidate parses a sample of the log data using the at least one large language model. The LLM log parsing service generates a log parser decision that selects which one of the log parser candidates best performs as a log parser. The LLM log parsing service then parses the log data using the best log parser.

Abstract: Multi-modal query processing greatly improves computer functioning. A single cybersecurity sensory nodal server concurrently processes standing queries, agent point queries, and agent fleet queries. The single cybersecurity sensory nodal server is dedicated to locally storing electronic data associated with a cybersecurity sensory agent installed at a client device. Because the single cybersecurity sensory nodal server locally stores the single source of the electronic data, the single cybersecurity sensory nodal server answers the standing queries, agent point queries, and agent fleet queries using less hardware resources, less network resources, less electrical energy, and less time.

Abstract: An event query host can include an event processor configured to process an event stream indicating events that occurred on a computing device. The event processor can add representations of events to an event graph. If an event added to the event graph is a trigger event associated with a query, the event processor can also add an instance of the query to a query queue. The query queue can be sorted based on scheduled execution times of query instances. At a scheduled execution time of a query instance in the query queue, a query manager of the event query host can execute the query instance and attempt to find a corresponding pattern of one or more events in the event graph.

Abstract: Hosts of a digital security system receive event data sent by sensors on endpoints that correspond with the hosts. The hosts locally maintain enrichment caches of information regarding the endpoints, and may update the enrichment caches based on information indicated by received event data. The hosts may also generate enriched event data, corresponding to received event data, by adding enrichment data indicated in the enrichment caches that was omitted from the event data sent by sensors.

Abstract: A digital security system can store data associated with entities in resolver trees. If the digital security system determines that two resolver trees are likely representing the same entity, the digital security system can use a merge operation to merge the resolver trees into a single resolver tree that represents the entity. The single resolver tree can include a merge node indicating a merge identifier of the merge operation. Nodes containing information merged into the resolver tree from another resolver tree during the merge operation can be tagged with the corresponding merge identifier. Accordingly, if the merge operation is to be undone, for instance if subsequent information indicates that the entries are likely separate entities, the resolver tree can be unmerged and the nodes tagged with the merge identifier can be restored to a separate resolver tree.

Abstract: A distributed security system can include instances of a compute engine that can execute either locally in security agents on client devices or as cloud instances in a security network. Event data can be processed by elements of the distributed security system according to centrally-defined ontological definitions and/or configurations. Bounding managers of local security agents can control how much event data is sent to the security network. A storage engine in the security network can store event data received from client devices, can route event data to other elements of the security network, including cloud instances of the compute engine. An experimentation engine of the security network can also at least temporarily adjust other elements of the distributed security system during experiments or tests.

Abstract: A digital security system can store data associated with entities in resolver trees. If the digital security system determines that two resolver trees are likely representing the same entity, the digital security system can use a merge operation to merge the resolver trees into a single resolver tree that represents the entity. The single resolver tree can include a merge node indicating a merge identifier of the merge operation. Nodes containing information merged into the resolver tree from another resolver tree during the merge operation can be tagged with the corresponding merge identifier. Accordingly, if the merge operation is to be undone, for instance if subsequent information indicates that the entries are likely separate entities, the resolver tree can be unmerged and the nodes tagged with the merge identifier can be restored to a separate resolver tree.

Abstract: A digital security system can store data associated with entities in resolver trees. If the digital security system determines that two resolver trees are likely representing the same entity, the digital security system can use a merge operation to merge the resolver trees into a single resolver tree that represents the entity. The single resolver tree can include a merge node indicating a merge identifier of the merge operation. Nodes containing information merged into the resolver tree from another resolver tree during the merge operation can be tagged with the corresponding merge identifier. Accordingly, if the merge operation is to be undone, for instance if subsequent information indicates that the entries are likely separate entities, the resolver tree can be unmerged and the nodes tagged with the merge identifier can be restored to a separate resolver tree.

Abstract: An event query host can include an event processor configured to process an event stream indicating events that occurred on a computing device. The event processor can add representations of events to an event graph. If an event added to the event graph is a trigger event associated with a query, the event processor can also add an instance of the query to a query queue. The query queue can be sorted based on scheduled execution times of query instances. At a scheduled execution time of a query instance in the query queue, a query manager of the event query host can execute the query instance and attempt to find a corresponding pattern of one or more events in the event graph.

Abstract: An event query host can include an event processor configured to process an event stream indicating events that occurred on a computing device. The event processor can add representations of events to an event graph. If an event added to the event graph is a trigger event associated with a query, the event processor can also add an instance of the query to a query queue. The query queue can be sorted based on scheduled execution times of query instances. At a scheduled execution time of a query instance in the query queue, a query manager of the event query host can execute the query instance and attempt to find a corresponding pattern of one or more events in the event graph.

Abstract: A distributed security system can include instances of a compute engine that can execute either locally in security agents on client devices or as cloud instances in a security network. Event data can be processed by elements of the distributed security system according to centrally-defined ontological definitions and/or configurations. Bounding managers of local security agents can control how much event data is sent to the security network. A storage engine in the security network can store event data received from client devices, can route event data to other elements of the security network, including cloud instances of the compute engine. An experimentation engine of the security network can also at least temporarily adjust other elements of the distributed security system during experiments or tests.

Abstract: A digital security system can store data associated with entities in resolver trees. If the digital security system determines that two resolver trees are likely representing the same entity, the digital security system can use a merge operation to merge the resolver trees into a single resolver tree that represents the entity. The single resolver tree can include a merge node indicating a merge identifier of the merge operation. Nodes containing information merged into the resolver tree from another resolver tree during the merge operation can be tagged with the corresponding merge identifier. Accordingly, if the merge operation is to be undone, for instance if subsequent information indicates that the entries are likely separate entities, the resolver tree can be unmerged and the nodes tagged with the merge identifier can be restored to a separate resolver tree.

Abstract: A distributed security system can include instances of a compute engine that can execute either locally in security agents on client devices or as cloud instances in a security network. Event data can be processed by elements of the distributed security system according to centrally-defined ontological definitions and/or configurations. Bounding managers of local security agents can control how much event data is sent to the security network. A storage engine in the security network can store event data received from client devices, can route event data to other elements of the security network, including cloud instances of the compute engine. An experimentation engine of the security network can also at least temporarily adjust other elements of the distributed security system during experiments or tests.

Abstract: An event query host can include an event processor configured to process an event stream indicating events that occurred on a computing device. The event processor can add representations of events to an event graph. If an event added to the event graph is a trigger event associated with a query, the event processor can also add an instance of the query to a query queue. The query queue can be sorted based on scheduled execution times of query instances. At a scheduled execution time of a query instance in the query queue, a query manager of the event query host can execute the query instance and attempt to find a corresponding pattern of one or more events in the event graph.

Abstract: A distributed security system can include instances of a compute engine that can execute either locally in security agents on client devices or as cloud instances in a security network. Event data can be processed by elements of the distributed security system according to centrally-defined ontological definitions and/or configurations. Bounding managers of local security agents can control how much event data is sent to the security network. A storage engine in the security network can store event data received from client devices, can route event data to other elements of the security network, including cloud instances of the compute engine. An experimentation engine of the security network can also at least temporarily adjust other elements of the distributed security system during experiments or tests.

Abstract: A model representing system components and events of a plurality of monitored devices as data objects is described herein. The model resides on a security service cloud and is updated in substantially real-time, as security-relevant information about the system components and events is received by the security service cloud. Each data object in the model has a scope and different actions are taken by security service cloud modules depending on different data object scopes. Further, the security service cloud maintains a model specific to each monitored device built in substantially real-time as the security-relevant information from that device is received. The security service cloud utilizes these device-specific models to detect security concerns and respond to those concerns in substantially real-time.

Abstract: A model representing system components and events of a plurality of monitored devices as data objects is described herein. The model resides on a security service cloud and is updated in substantially real-time, as security-relevant information about the system components and events is received by the security service cloud. Each data object in the model has a scope and different actions are taken by security service cloud modules depending on different data object scopes. Further, the security service cloud maintains a model specific to each monitored device built in substantially real-time as the security-relevant information from that device is received. The security service cloud utilizes these device-specific models to detect security concerns and respond to those concerns in substantially real-time.