Abstract: Methods and systems for monitoring activity on a network. The system may first classify network activity data as being generated by a human actor or an automated process. Then, the system may assign a first behavioral profile to the entity based on the network activity data and detect anomalous activity associated with the entity.

Abstract: Methods and systems for monitoring network activity. Various embodiments may deploy virtual security appliances to a certain location or with a specific configuration based on data regarding previous attacks and attacker activity. Accordingly, the deployed virtual security appliance(s) are better suited to gather more useful behavior regarding threat actor behavior and attacks.

Abstract: Methods and systems for detecting malicious activity on a network. The methods described herein involve gathering data regarding a first state of a computing environment, executing an attack tool to simulate malicious activity in the computing environment, and then gathering data regarding a second state of the computing environment. The methods described herein may then involve generating a signature based on changes between the first and second states, and then using the generated signature to detect malicious activity in a target network.

Abstract: Disclosed herein are methods, systems, and processes to facilitate and perform dynamic best path determination for penetration testing. An action path that includes a kill chain that involves performance of exploit actions for a phase of a penetration test is generated by identifying the exploit actions based on a penetration parameter, a detection parameter, and/or a time parameter associated with the exploit actions. Performance of the identified exploit actions permits successful completion of the phase of the penetration test and designates the action path for inclusion as part of a best path for the penetration test.

Abstract: Methods and systems for identifying a network threat are disclosed. The methods described herein may involve receiving at least one permutation of a domain name, wherein the at least one permutation is registered with a domain name registrar. The methods described herein may further involve executing a scanning function to identify an active service on the at least one permutation registered with the domain name registrar and implementing a threat prevention procedure upon identifying an active service on the at least one permutation.

Abstract: Methods and systems for identifying a network threat are disclosed. The methods described herein may involve receiving at least one permutation of a domain name, wherein the at least one permutation is registered with a domain name registrar. The methods described herein may further involve executing a scanning function to identify an active service on the at least one permutation registered with the domain name registrar and implementing a threat prevention procedure upon identifying an active service on the at least one permutation.

Abstract: Methods and systems for identifying a vulnerability on a network are disclosed. The methods described herein may involve executing a first scanning function to obtain a first view of a network and then filtering the first view of the network for at least one point of exposure of a first entity that originates from a second entity. The methods described herein may further involve executing a secondary scanning function to identify any vulnerabilities of the first entity based on the point of exposure of the first entity that originates from the second entity and implementing a threat prevention procedure upon identifying a vulnerability of the first entity based on the point of exposure of the first entity that originates from the second entity.

Abstract: Disclosed herein are methods, systems, and processes to facilitate and perform dynamic best path determination for penetration testing. An action path that includes a kill chain that involves performance of exploit actions for a phase of a penetration test is generated by identifying the exploit actions based on a penetration parameter, a detection parameter, and/or a time parameter associated with the exploit actions. Performance of the identified exploit actions permits successful completion of the phase of the penetration test and designates the action path for inclusion as part of a best path for the penetration test.

Abstract: Disclosed herein are methods, systems, and processes to facilitate and perform dynamic best path determination for penetration testing. An action path that includes a kill chain that involves performance of exploit actions for a phase of a penetration test is generated by identifying the exploit actions based on a penetration parameter, a detection parameter, and/or a time parameter associated with the exploit actions. Performance of the identified exploit actions permits successful completion of the phase of the penetration test and designates the action path for inclusion as part of a best path for the penetration test.

Abstract: Methods and systems for detecting malicious activity on a network. The methods described herein involve gathering data regarding a first state of a computing environment, executing an attack tool to simulate malicious activity in the computing environment, and then gathering data regarding a second state of the computing environment. The methods described herein may then involve generating a signature based on changes between the first and second states, and then using the generated signature to detect malicious activity in a target network.

Abstract: Methods and systems for detecting malicious activity on a network. The methods described herein involve gathering data regarding a first state of a computing environment, executing an attack tool to simulate malicious activity in the computing environment, and then gathering data regarding a second state of the computing environment. The methods described herein may then involve generating a signature based on changes between the first and second states, and then using the generated signature to detect malicious activity in a target network.

Abstract: Methods and systems for verifying asset identity. The system includes a rules engine executing a corpus of rules to analyze received fingerprint data regarding one or more assets in a network. The rules engine may execute the rules to create a synthetic fingerprint to provide more accurate and helpful information regarding a network asset.

Abstract: Methods and systems for monitoring network activity. Various embodiments may deploy virtual security appliances to a certain location or with a specific configuration based on data regarding previous attacks and attacker activity. Accordingly, the deployed virtual security appliance(s) are better suited to gather more useful behavior regarding threat actor behavior and attacks.

Abstract: Methods and systems for monitoring activity on a network. The system may first classify network activity data as being generated by a human actor or an automated process. Then, the system may assign a first behavioral profile to the entity based on the network activity data and detect anomalous activity associated with the entity.

Abstract: Disclosed herein are methods, systems, and processes to facilitate and perform dynamic best path determination for penetration testing. An action path that includes a kill chain that involves performance of exploit actions for a phase of a penetration test is generated by identifying the exploit actions based on a penetration parameter, a detection parameter, and/or a time parameter associated with the exploit actions. Performance of the identified exploit actions permits successful completion of the phase of the penetration test and designates the action path for inclusion as part of a best path for the penetration test.

Abstract: Methods and systems for verifying asset identity. The system includes a rules engine executing a corpus of rules to analyze received fingerprint data regarding one or more assets in a network. The rules engine may execute the rules to create a synthetic fingerprint to provide more accurate and helpful information regarding a network asset.

Abstract: Methods and systems for monitoring network activity. Various embodiments may deploy virtual security appliances to a certain location or with a specific configuration based on data regarding previous attacks and attacker activity. Accordingly, the deployed virtual security appliance(s) are better suited to gather more useful behavior regarding threat actor behavior and attacks.

Abstract: Methods and systems for verifying asset identity. The system includes a rules engine executing a corpus of rules to analyze received fingerprint data regarding one or more assets in a network. The rules engine may execute the rules to create a synthetic fingerprint to provide more accurate and helpful information regarding a network asset.

Abstract: Methods and systems for monitoring network activity. Various embodiments may deploy virtual security appliances to a certain location or with a specific configuration based on data regarding previous attacks and attacker activity. Accordingly, the deployed virtual security appliance(s) are better suited to gather more useful behavior regarding threat actor behavior and attacks.

Abstract: Waste materials from the conversion of iron ore to pig iron or steel combine with a reducing metal, such as aluminum or magnesium, and a small portion of a mineral acid to form a reaction mixture which gives a heat output superior to many conventional fuels. The materials are processed in several steps to produce either a shaped or loose composition, a portion of which is then heated to a reaction temperature. Retardants for the reaction may be added.