Abstract: Systems and methods for reversibly remediating security risks, which monitor a network or system for security risks, and upon detection of one or more of risks, apply a remedial action applicable to at least partially remedy or mitigate the one or more detected risk. The network or system is monitored for a change to the detected risk(s), and upon detection of a change to the detected risk(s), the applied remediation action is automatically reversed.

Abstract: Methods and systems for building security applications can be provided. Data policies for accessing security data can be set, and a module pipeline including one or more modules selected from a plurality of modules can be generated. The modules can include at least one module operable to apply a predictive security application or model for detection or identification of security threats. Module execution policies governing execution of the one or more modules in the module pipeline also can be set. Upon receipt of a request to initiate execution of the module pipeline, it can be determined if the execution thereof would violate the data policies or the module execution policies. If so, execution of the module pipeline can be blocked, otherwise the module pipeline can be executed to process the portion of the security data.

Abstract: The present disclosure provides systems and methods for detection of one or more security threats or malicious actions. According to the present disclosure, data can be received from one or more data producers and provided to a behavior processor. The behavior processor extracts, identifies, or detects one or more behaviors from the data based on one or more datum, features, or characteristics included therein, and provides the one or more identified behaviors to a tactic processor. The tactic processor extracts, identifies, or detects one or more tactics based on the one or more identified behaviors, and submits the one or more identified tactics to a tactic classifier to determine whether the one or more identified tactics are indicative of the one or more security threats or malicious actions. Other aspects are also described.

Abstract: The present disclosure provides systems and methods for organizations to use security date to generate a risk scores associated with potential compromise based on clustering and/or similarities with other organizations that have or may have been compromised. For example, indicators of compromise can be used to create a similarity score rank over time that may be used as a similarity and risk measurement to generate a continual/dynamic score, which can change and/or be updated as new data is created or arrives to detect or prevent threats and/or malicious attacks.

Abstract: Systems and methods for reversibly remediating security risks, which monitor a network or system for security risks, and upon detection of one or more of risks, apply a remedial action applicable to at least partially remedy or mitigate the one or more detected risk. The network or system is monitored for a change to the detected risk(s), and upon detection of a change to the detected risk(s), the applied remediation action is automatically reversed.

Abstract: The present disclosure provides systems and methods for organizations to use security date to generate a risk scores associated with potential compromise based on clustering and/or similarities with other organizations that have or may have been compromised. For example, indicators of compromise can be used to create a similarity score rank over time that may be used as a similarity and risk measurement to generate a continual/dynamic score, which can change and/or be updated as new data is created or arrives to detect or prevent threats and/or malicious attacks.

Abstract: Systems and methods for reversibly remediating security risks, which monitor a network or system for security risks, and upon detection of one or more of risks, apply a remedial action applicable to at least partially remedy or mitigate the one or more detected risk. The network or system is monitored for a change to the detected risk(s), and upon detection of a change to the detected risk(s), the applied remediation action is automatically reversed.

Abstract: The present disclosure provides systems and methods for detection of one or more security threats or malicious actions. According to the present disclosure, data can be received from one or more data producers and provided to a behavior processor. The behavior processor extracts, identifies, or detects one or more behaviors from the data based on one or more datum, features, or characteristics included therein, and provides the one or more identified behaviors to a tactic processor. The tactic processor extracts, identifies, or detects one or more tactics based on the one or more identified behaviors, and submits the one or more identified tactics to a tactic classifier to determine whether the one or more identified tactics are indicative of the one or more security threats or malicious actions. Other aspects are also described.

Abstract: Methods and systems for building security applications can be provided. Data policies for accessing security data can be set, and a module pipeline including one or more modules selected from a plurality of modules can be generated. The modules can include at least one module operable to apply a predictive security application or model for detection or identification of security threats. Module execution policies governing execution of the one or more modules in the module pipeline also can be set. Upon receipt of a request to initiate execution of the module pipeline, it can be determined if the execution thereof would violate the data policies or the module execution policies. If so, execution of the module pipeline can be blocked, otherwise the module pipeline can be executed to process the portion of the security data.

Abstract: The present disclosure provides systems and methods for organizations to use forensic to generate a risk scores associated with potential compromise based on clustering and/or similarities with other organizations that have or may have been compromised. For example, specific attributes or marks, such as low fidelity indicators of compromise can be used to create a similarity score rank over time that may be used as a similarity and risk measurement to generate a continual/dynamic score, which can change and/or be updated as new data is created or arrives to detect or prevent threats and/or malicious attacks.

Abstract: Methods and systems for developing and distributing applications and data for building security applications can be provided. A plurality of data policies can be set for access and/or filtering security data based on selected parameters. One or more modules can be generated for processing the security data, with each of the modules governed by one or more module policies. Upon receipt of a request to initiate execution of the one or more modules to access and process a selected portion or filtered set of the security data, it can be determined if the request violates the data policies and/or the module policies applicable for processing the selected portion or filtered set of the security data, and if the data policies and/or the module policies are not violated, the one or more modules can be executed to process the selected portion or filtered set of the security data.

Abstract: A system for collection and analysis of forensic and event data comprising a server and an endpoint agent operating on a remote system. The server is configured to receive event data including process creation data, persistent process data, thread injection data, network connection data, memory pattern data, or any combination thereof, and analyze the event data to detect compromises of a remote system. The endpoint agent is configured to acquire event data, and communicate the event data to the server.

Abstract: The present disclosure provides systems and methods for organizations to use forensic to generate a risk scores associated with potential compromise based on clustering and/or similarities with other organizations that have or may have been compromised. For example, specific attributes or marks, such as low fidelity indicators of compromise can be used to create a similarity score rank over time that may be used as a similarity and risk measurement to generate a continual/dynamic score, which can change and/or be updated as new data is created or arrives to detect or prevent threats and/or malicious attacks.

Abstract: A system for collection and analysis of forensic and event data comprising a server and an endpoint agent operating on a remote system. The server is configured to receive event data including process creation data, persistent process data, thread injection data, network connection data, memory pattern data, or any combination thereof, and analyze the event data to detect compromises of a remote system. The endpoint agent is configured to acquire event data, and communicate the event data to the server.

Abstract: Methods and systems for developing and distributing applications and data for building security applications can be provided. A plurality of data policies can be set for access and/or filtering security data based on selected parameters. One or more modules can be generated for processing the security data, with each of the modules governed by one or more module policies. Upon receipt of a request to initiate execution of the one or more modules to access and process a selected portion or filtered set of the security data, it can be determined if the request violates the data policies and/or the module policies applicable for processing the selected portion or filtered set of the security data, and if the data policies and/or the module policies are not violated, the one or more modules can be executed to process the selected portion or filtered set of the security data.

Abstract: Systems and methods for reversibly remediating security risks, which monitor a network or system for security risks, and upon detection of one or more of risks, apply a remedial action applicable to at least partially remedy or mitigate the one or more detected risk. The network or system is monitored for a change to the detected risk(s), and upon detection of a change to the detected risk(s), the applied remediation action is automatically reversed.

Abstract: A system for collection and analysis of forensic and event data comprising a server and an endpoint agent operating on a remote system. The server is configured to receive event data including process creation data, persistent process data, thread injection data, network connection data, memory pattern data, or any combination thereof, and analyze the event data to detect compromises of a remote system. The endpoint agent is configured to acquire event data, and communicate the event data to the server.

Abstract: A system for collection and analysis of forensic and event data comprising a server and an endpoint agent operating on a remote system. The server is configured to receive event data including process creation data, persistent process data, thread injection data, network connection data, memory pattern data, or any combination thereof, and analyze the event data to detect compromises of a remote system. The endpoint agent is configured to acquire event data, and communicate the event data to the server.

Abstract: The present disclosure is generally directed to a computer security management system that integrates a firewall with an intrusion detection system (IDS). In other words, the firewall and IDS of the present disclosure can be designed to communicate process or status information and packets with one another. The present disclosure can facilitate centralized control of the firewall and the IDS and can increase the speed at which packets are passed between a secured computer network and an external network. Increased packet processing speed can be achieved in several ways. For example, the firewall and IDS can process packets in series, in parallel, and sometimes singularly when one of the components is not permitted to process a packet. Alternatively, singular processing can also be performed when one component is permitted to pass a packet to the secured computer network without checking with the other component.

Abstract: The present invention is generally directed to a computer security management system that integrates a firewall with an intrusion detection system (IDS). In other words, the firewall and IDS of the present invention can be designed to communicate process or status information and packets with one another. The present invention can facilitate centralized control of the firewall and the IDS and can increase the speed at which packets are passed between a secured computer network and an external network. Increased packet processing speed can be achieved in several ways. For example, the firewall and IDS can process packets in series, in parallel, and sometimes singularly when one of the components is not permitted to process a packet. Alternatively, singular processing can also be performed when one component is permitted to pass a packet to the secured computer network without checking with the other component.