Forescout Technologies, Inc.

Systems, methods, and related technologies for determining a comprehensive risk score or value are described. The risk score determination may include selecting an entity communicatively coupled to a network and determining a cyber-attack likelihood value and a cyber-attack impact value associated with the entity. A cyber-attack risk may then be determined based on the cyber-attack likelihood value and a cyber-attack impact value associated with the entity. An operational failure likelihood value and an operational failure impact value associated with the entity can be determined. An operational failure risk based on the operational failure likelihood value and the operational failure impact value associated with the entity can be determined. A risk value may then be determined for the entity based on the cyber-attack risk and the operational failure risk and the risk value for the entity can be stored.

Systems, methods, and related technologies for classification are described. Network traffic from a network may be accessed and an entity may be selected. One or more values associated with one or more properties associated with the entity may be determined. The one or more values may be accessed from the network traffic. A first model associated with a first level of granularity is accessed. A first classification result of the entity based on the first model is determined by a processing device. A second model associated with a second level of granularity is accessed. The second level of granularity is higher than the first level of granularity and the second model is accessed based on the first classification result. A second classification result of the entity based on the second model is determined. At least one of the first classification result or the second classification result is stored.

Systems, methods, and related technologies for classification are described. Network traffic from a network may be accessed and an entity may be selected. One or more values associated with one or more properties associated with the entity may be determined. The one or more values may be accessed from the network traffic. A search query based on the one or more values associated with the one or more properties associated with the entity is determined and performed. A search query result is received and the search query result comprises a plurality of webpages. Data from a webpage of the plurality webpages is accessed. A classification result of the entity is determined, by a processing device, based on the data from the webpage of the plurality of webpages. The classification result is stored.

Systems, methods, and related technologies for entity visibility are described. In certain aspects, information associated with a type of entity is accessed and a network is scanned for a plurality of entities. One or more entities are selected from plurality of entities based on the type of entity. Properties associated with the one or more selected entities are accessed. The information associated with the one or more selected entities and the one or more properties associated with the selected one or more entities are stored.

Systems, methods, and related technologies for improving classification use multiple classification resources. Network traffic from a network may be accessed and an entity may be selected. One or more values associated with one or more properties associated with the entity may be determined. The one or more values may be accessed from the network traffic. A first classification result of the entity based on accessing one or more local profiles is determined by a processing device. In response to the first classification result meeting a condition, one or more values associated with one or more properties associated with the entity may be sent (e.g., to a cloud based classification resource). A second classification result may be received. The second classification result may be determined based one accessing at least one remote profile. At least one of the first classification result or the second classification result may be stored.

Systems, methods, and related technologies for entity visibility are described. In certain aspects, information associated with a type of entity is accessed and a network is scanned for a plurality of entities. One or more entities are selected from plurality of entities based on the type of entity. Properties associated with the one or more selected entities are accessed. The information associated with the one or more selected entities and the one or more properties associated with the selected one or more entities are stored.

Systems, methods, and related technologies for determining an issue based on a plurality of events. The determining of an issue may include accessing network traffic from a network and accessing a plurality of events associated with the network traffic. An issue can be determined based on a correlation of a portion of the plurality of events, where the issue represents an incident associated with the portion of the plurality of events. The correlation of the portion of the plurality of events is based on network specific information. Information associated with the issue including the portion of the plurality of events may then be stored.

Systems, methods, and related technologies for increasing data availability. The determining of one or more recommendations to improve classification may include accessing network traffic from a network and selecting an entity. One or more values associated with one or more properties associated with the entity may be determined. The one or more values may be accessed from the network traffic. The entity may be classified and in response to the classification meeting a condition, one or more properties that are unavailable in the network traffic may be determined. A data source associated with the one or more properties for which a value is not present in the network traffic may be determined and the data source associated with the one or more properties that are unavailable in the network traffic may be stored.

Systems, methods, and related technologies for determining an anomaly based on properties associated with an entity are described. The determination of an anomaly associated with an entity may include accessing network traffic from a network and storing a first value of a property associated with an entity communicatively coupled to the network. The first value of the property is based on the network traffic. Additional network traffic associated with the entity may be accessed and a second value of the property determined based on the additional network traffic. Whether the first value of the property does not match the second value of the property may be determined and in response to the first value of the property not matching the second value of the property, an indicator that an anomaly has detected may be stored. An action may be performed based on determination of an anomaly.

Systems, methods, and related technologies for device identification are described. In certain aspects, packet data associated with a device can be analyzed and a score determined. The score and the threshold can be compared to determine a device identification for the device.