Abstract: A cyber security system includes a plurality of event sensors to detect events, a plurality of inference servers, and a server in communication with the plurality of inference servers. Each inference server of the plurality is in communication with a subset of event sensors of the plurality of event sensors. Each inference server has a portion of an event lattice and is to compare the event detected by the subset of event sensors to the event lattice. Each inference server is to identify an originator having a behavior pattern indicative of an attack and communicating an identifier associated with the originator. The server is to provide an interface indicating the behavior pattern indicative of an attack and the identifier of the originator.

Abstract: A cyber security system includes a plurality of event sensors to detect events, a plurality of inference servers, and a server in communication with the plurality of inference servers. Each inference server of the plurality is in communication with a subset of event sensors of the plurality of event sensors. Each inference server has a portion of an event lattice and is to compare the event detected by the subset of event sensors to the event lattice. Each inference server is to identify an originator having a behavior pattern indicative of an attack and communicating an identifier associated with the originator. The server is to provide an interface indicating the behavior pattern indicative of an attack and the identifier of the originator.

Abstract: A method for protecting computing assets includes detecting a set of events in a networked computing environment using a set of event sensors distributed in the networked computing environment, determining a risk factor by applying the set of events to a detection model using an inference server in communication with the set of event sensors, and communicating the risk factor to an insurance server from the inference server.

Abstract: A cyber security system includes a plurality of event sensors to detect events, a plurality of inference servers, and a server in communication with the plurality of inference servers. Each inference server of the plurality is in communication with a subset of event sensors of the plurality of event sensors. Each inference server has a portion of an event lattice and is to compare the event detected by the subset of event sensors to the event lattice. Each inference server is to identify an originator having a behavior pattern indicative of an attack and communicating an identifier associated with the originator. The server is to provide an interface indicating the behavior pattern indicative of an attack and the identifier of the originator.

Abstract: A cyber security system includes a plurality of event sensors to detect events, a plurality of inference servers, and a server in communication with the plurality of inference servers. Each inference server of the plurality is in communication with a subset of event sensors of the plurality of event sensors. Each inference server has a portion of an event lattice and is to compare the event detected by the subset of event sensors to the event lattice. Each inference server is to identify an originator having a behavior pattern indicative of an attack and communicating an identifier associated with the originator. The server is to provide an interface indicating the behavior pattern indicative of an attack and the identifier of the originator.

Abstract: A malware and exploit campaign detection system and method are provided that cannot be detected by the malware or exploit campaign. The system may provide threat feed data to the vendors that produce in-line network security and end point protection (anti virus) technologies. The system may also be used as a testing platform for 3rd party products. Due to the massive footprint of the system's cloud infrastructure and disparate network connections and geo-location obfuscation techniques, NSS can locate and monitor malware across the globe and provide detailed threat analysis for each specific region, as they often support and host different malware/cybercrime campaigns.

Abstract: A malware and exploit campaign detection system and method are provided that cannot be detected by the malware or exploit campaign. The system may provide threat feed data to the vendors that produce in-line network security and end point protection (anti virus) technologies. The system may also be used as a testing platform for 3rd party products. Due to the massive footprint of the system's cloud infrastructure and disparate network connections and geo-location obfuscation techniques, NSS can locate and monitor malware across the globe and provide detailed threat analysis for each specific region, as they often support and host different malware/cybercrime campaigns.

Abstract: A malware and exploit campaign detection system and method are provided that cannot be detected by the malware or exploit campaign. The system may provide threat feed data to the vendors that produce in-line network security and end point protection (anti virus) technologies. The system may also be used as a testing platform for 3rd party products. Due to the massive footprint of the system's cloud infrastructure and disparate network connections and geo-location obfuscation techniques, NSS can locate and monitor malware across the globe and provide detailed threat analysis for each specific region, as they often support and host different malware/cybercrime campaigns.

Abstract: A malware and exploit campaign detection system and method are provided that cannot be detected by the malware or exploit campaign. The system may provide threat feed data to the vendors that produce in-line network security and end point protection (anti virus) technologies. The system may also be used as a testing platform for 3rd party products. Due to the massive footprint of the system's cloud infrastructure and disparate network connections and geo-location obfuscation techniques, NSS can locate and monitor malware across the globe and provide detailed threat analysis for each specific region, as they often support and host different malware/cybercrime campaigns.