Abstract: Aspects of the disclosure relate to improving user responses to cyber security threats. A computing platform may generate a test communication to simulate a potential cyber threat activity. Then, the computing platform may send, via the communication interface, the test communication to a user device associated with a target user. Then, the computing platform may receive, via the communication interface and from the user device, a response to the test communication. Subsequently, the computing platform may determine, based on the response, a threat awareness level for the target user, where the threat awareness level is indicative of a susceptibility of the target user to the potential cyber threat activity. Then, the computing platform may send, to the target user and based on the threat awareness level, an alert notification to counter the cyber threat activity.

Abstract: Methods, systems, and computing platforms for data communication are disclosed. Exemplary implementations may: electronically process with a machine learning controller; electronically process the data payloads in the network with deep machine learning; and real-time adjusting of a plurality of network infosec controls associated with the originating node attribute based on the infosec control attribute.

Abstract: Aspects of the disclosure relate to improving user responses to cyber security threats. A computing platform may generate a test communication to simulate a potential cyber threat activity. Then, the computing platform may send, via the communication interface, the test communication to a user device associated with a target user. Then, the computing platform may receive, via the communication interface and from the user device, a response to the test communication. Subsequently, the computing platform may determine, based on the response, a threat awareness level for the target user, where the threat awareness level is indicative of a susceptibility of the target user to the potential cyber threat activity. Then, the computing platform may send, to the target user and based on the threat awareness level, an alert notification to counter the cyber threat activity.

Abstract: Aspects of the disclosure relate to improving user responses to cyber security threats. A computing platform may generate a test communication to simulate a potential cyber threat activity. Then, the computing platform may send, via the communication interface, the test communication to a user device associated with a target user. Then, the computing platform may receive, via the communication interface and from the user device, a response to the test communication. Subsequently, the computing platform may determine, based on the response, a threat awareness level for the target user, where the threat awareness level is indicative of a susceptibility of the target user to the potential cyber threat activity. Then, the computing platform may send, to the target user and based on the threat awareness level, an alert notification to counter the cyber threat activity.

Abstract: Aspects of the disclosure relate to validation of software by private and public blockchains. Hashes for known software are stored in a private blockchain. Hashes for unknown software are compared against the known hashes to determine if the software is known, malware free, and/or an authorized copy. Hashes for known good software and/or malware-containing software can be pre-seeded to the blockchains. Unknown software can be tested in sandboxes. Comparison results are stored in new blocks in the private chain and can be propagated out to the public chain anonymously without company attribution or software name disclosure. Validation servers can control the integrity of the blockchains. Updating blockchains may be controlled by requiring agreement of a majority of validation servers. Third parties can access the public chain to evaluate unknown software that they receive to determine if the software is malware free and/or an authorized copy.

Abstract: Aspects of the disclosure relate to improving user responses to cyber security threats. A computing platform may generate a test communication to simulate a potential cyber threat activity. Then, the computing platform may send, via the communication interface, the test communication to a user device associated with a target user. Then, the computing platform may receive, via the communication interface and from the user device, a response to the test communication. Subsequently, the computing platform may determine, based on the response, a threat awareness level for the target user, where the threat awareness level is indicative of a susceptibility of the target user to the potential cyber threat activity. Then, the computing platform may send, to the target user and based on the threat awareness level, an alert notification to counter the cyber threat activity.

Abstract: Methods, systems, and computing platforms for data communication are disclosed. Exemplary implementations may: electronically process with a machine learning controller; electronically process the data payloads in the network with deep machine learning; and real-time adjusting of a plurality of network infosec controls associated with the originating node attribute based on the infosec control attribute.