Abstract: A network security computing system includes a steganographic communications analysis engine monitoring incoming and outgoing messages on a secure computing network. The steganographic communications analysis engine identifies a pattern of file transfers between a first computing device on the secure computing network and an internal or external message recipient. When a pattern is identified, the steganographic communications analysis engine quarantines an associated computing device from the secure network. The steganographic communications analysis engine analyzes files transferred between the computing device and the recipient for indications of steganographic information and causes display, based on an identified indication of steganography, an indication that the computing device had been compromised by command and control malware.

Abstract: A network traffic correlation engine monitors inbound and/or outbound connection information received from on each host computer system on a network. Each host device on the network store data logs corresponding to information corresponding to communications sent by the device and received by the device. The network traffic correlation engine correlates connections between different hosts throughout the network. If the network traffic correlation engine identified unmatched outbound and inbound connections, the network traffic correlation engine generates an alert to initiate further investigation and may also provide a mapping of the communications showing a possible start device for the connection and/or a type of access that the connections may now be providing.

Abstract: A lateral movement identification tool analyzes communications sent and received from a local host to identify potential instances of lateral movement. When the host-based lateral movement identification tool identifies a host to host connection, the tool processes one or more artificial intelligence algorithms to analyze information from local network resources including a directory service, a local network system such as a network basic input/output system, a domain name system, and event logs. The lateral movement identification tool correlates the aggregated information with identified host to host messaging and sends alerts when lateral movement is suspected. Alerts may be either presented locally or provided to a central console based on configuration information.

Abstract: A network security computing system includes a steganographic communications analysis engine monitoring incoming and outgoing messages on a secure computing network. The steganographic communications analysis engine identifies a pattern of file transfers between a first computing device on the secure computing network and an internal or external message recipient. When a pattern is identified, the steganographic communications analysis engine quarantines an associated computing device from the secure network. The steganographic communications analysis engine analyzes files transferred between the computing device and the recipient for indications of steganographic information and causes display, based on an identified indication of steganography, an indication that the computing device had been compromised by command and control malware.

Abstract: A lateral movement identification tool analyzes communications sent and received from a local host to identify potential instances of lateral movement. When the host-based lateral movement identification tool identifies a host to host connection, the tool processes one or more artificial intelligence algorithms to analyze information from local network resources including a directory service, a local network system such as a network basic input/output system, a domain name system, and event logs. The lateral movement identification tool correlates the aggregated information with identified host to host messaging and sends alerts when lateral movement is suspected. Alerts may be either presented locally or provided to a central console based on configuration information.

Abstract: A network traffic correlation engine monitors inbound and/or outbound connection information received from on each host computer system on a network. Each host device on the network store data logs corresponding to information corresponding to communications sent by the device and received by the device. The network traffic correlation engine correlates connections between different hosts throughout the network. If the network traffic correlation engine identified unmatched outbound and inbound connections, the network traffic correlation engine generates an alert to initiate further investigation and may also provide a mapping of the communications showing a possible start device for the connection and/or a type of access that the connections may now be providing.

Abstract: Aspects of the disclosure relate to email verification. A computing platform may receive an electronic message and identify one or more portions of content in the message. Then, the computing platform may generate and embed one or more message-specific identifiers into the electronic message and store electronic message information associating the one or more portions of content with the one or more embedded message-specific identifiers. Thereafter, the computing platform may receive an electronic message verification request to verify authenticity of an identified electronic message received by a computing device. The computing platform may prompt a user of the computing device to provide authentication information associated with one or more portions of content of the identified electronic message.

Abstract: Aspects of the disclosure relate to preventing data loss using enhanced analysis of the URLs and URIs in webpage requests. A computing platform may receive a user request to access a webpage, and may determine whether the webpage is regularly accessed by the user and whether the user is permitted to access the webpage. Based on determining the user might not regularly access the website, but that the user is permitted to access the webpage, the computing platform may engage an artificial intelligence (AI) engine to parse the URL and URI from the webpage request. The AI engine may compare the URL to source code associated with the webpage to determine whether the URI was re-written. The computing platform may grant the webpage request based on determining the source code corresponds to the URL and based on determining the URI might not have been re-written.

Abstract: Aspects of the disclosure relate to email verification. A computing platform may receive an electronic message and identify one or more portions of content in the message. Then, the computing platform may generate and embed one or more message-specific identifiers into the electronic message and store electronic message information associating the one or more portions of content with the one or more embedded message-specific identifiers. Thereafter, the computing platform may receive an electronic message verification request to verify authenticity of an identified electronic message received by a computing device. The computing platform may prompt a user of the computing device to provide authentication information associated with one or more portions of content of the identified electronic message.

Abstract: A lateral movement identification tool analyzes communications sent and received from a local host to identify potential instances of lateral movement. When the host-based lateral movement identification tool identifies a host to host connection, the tool processes one or more artificial intelligence algorithms to analyze information from local network resources including a directory service, a local network system such as a network basic input/output system, a domain name system, and event logs. The lateral movement identification tool correlates the aggregated information with identified host to host messaging and sends alerts when lateral movement is suspected. Alerts may be either presented locally or provided to a central console based on configuration information.

Abstract: A network traffic correlation engine monitors inbound and/or outbound connection information received from on each host computer system on a network. Each host device on the network store data logs corresponding to information corresponding to communications sent by the device and received by the device. The network traffic correlation engine correlates connections between different hosts throughout the network. If the network traffic correlation engine identified unmatched outbound and inbound connections, the network traffic correlation engine generates an alert to initiate further investigation and may also provide a mapping of the communications showing a possible start device for the connection and/or a type of access that the connections may now be providing.

Abstract: A lateral movement identification tool analyzes communications sent and received from a local host to identify potential instances of lateral movement. When the host-based lateral movement identification tool identifies a host to host connection, the tool processes one or more artificial intelligence algorithms to analyze information from local network resources including a directory service, a local network system such as a network basic input/output system, a domain name system, and event logs. The lateral movement identification tool correlates the aggregated information with identified host to host messaging and sends alerts when lateral movement is suspected. Alerts may be either presented locally or provided to a central console based on configuration information.

Abstract: A network security computing system includes a steganographic communications analysis engine monitoring incoming and outgoing messages on a secure computing network. The steganographic communications analysis engine identifies a pattern of file transfers between a first computing device on the secure computing network and an internal or external message recipient. When a pattern is identified, the steganographic communications analysis engine quarantines an associated computing device from the secure network. The steganographic communications analysis engine analyzes files transferred between the computing device and the recipient for indications of steganographic information and causes display, based on an identified indication of steganography, an indication that the computing device had been compromised by command and control malware.

Abstract: A network traffic correlation engine monitors inbound and/or outbound connection information received from on each host computer system on a network. Each host device on the network store data logs corresponding to information corresponding to communications sent by the device and received by the device. The network traffic correlation engine correlates connections between different hosts throughout the network. If the network traffic correlation engine identified unmatched outbound and inbound connections, the network traffic correlation engine generates an alert to initiate further investigation and may also provide a mapping of the communications showing a possible start device for the connection and/or a type of access that the connections may now be providing.

Abstract: A network security computing system includes a steganographic communications analysis engine monitoring incoming and outgoing messages on a secure computing network. The steganographic communications analysis engine identifies a pattern of file transfers between a first computing device on the secure computing network and an internal or external message recipient. When a pattern is identified, the steganographic communications analysis engine quarantines an associated computing device from the secure network. The steganographic communications analysis engine analyzes files transferred between the computing device and the recipient for indications of steganographic information and causes display, based on an identified indication of steganography, an indication that the computing device had been compromised by command and control malware.

Abstract: A network security computing system includes a steganographic communications analysis engine monitoring incoming and outgoing messages on a secure computing network. The steganographic communications analysis engine identifies a pattern of file transfers between a first computing device on the secure computing network and an internal or external message recipient. When a pattern is identified, the steganographic communications analysis engine quarantines an associated computing device from the secure network. The steganographic communications analysis engine analyzes files transferred between the computing device and the recipient for indications of steganographic information and causes display, based on an identified indication of steganography, an indication that the computing device had been compromised by command and control malware.

Abstract: Aspects of the disclosure relate to email verification. A computing platform may receive an electronic message and identify one or more portions of content in the message. Then, the computing platform may generate and embed one or more message-specific identifiers into the electronic message and store electronic message information associating the one or more portions of content with the one or more embedded message-specific identifiers. Thereafter, the computing platform may receive an electronic message verification request to verify authenticity of an identified electronic message received by a computing device. The computing platform may prompt a user of the computing device to provide authentication information associated with one or more portions of content of the identified electronic message.

Abstract: A network traffic correlation engine monitors inbound and/or outbound connection information received from on each host computer system on a network. Each host device on the network store data logs corresponding to information corresponding to communications sent by the device and received by the device. The network traffic correlation engine correlates connections between different hosts throughout the network. If the network traffic correlation engine identified unmatched outbound and inbound connections, the network traffic correlation engine generates an alert to initiate further investigation and may also provide a mapping of the communications showing a possible start device for the connection and/or a type of access that the connections may now be providing.

Abstract: A network environment scanning engine may monitor electronic communications received via an external computing network and by an enterprise computing system. The network environment scanning engine after receipt of an electronic message, analyze the electronic message to identify, by a network environment scanning engine using a machine learning algorithm, executable code for execution by a processor of computing device addressed as a recipient of the message. The network environment scanning engine further analyzes, using a machine-learning based algorithm in a virtual security environment, the executable code to identify whether the executable code comprises one or more environment variables.

Abstract: A lateral movement identification tool analyzes communications sent and received from a local host to identify potential instances of lateral movement. When the host-based lateral movement identification tool identifies a host to host connection, the tool processes one or more artificial intelligence algorithms to analyze information from local network resources including a directory service, a local network system such as a network basic input/output system, a domain name system, and event logs. The lateral movement identification tool correlates the aggregated information with identified host to host messaging and sends alerts when lateral movement is suspected. Alerts may be either presented locally or provided to a central console based on configuration information.