Abstract: Aspects of the disclosure relate to preventing unauthorized screen capture activity. A computing platform may detect, via an infrared sensor associated with a computing device, an infrared signal from a second device attempting an unauthorized image capture of contents being displayed by a display device of the computing device. Subsequently, the computing platform may determine, via the computing platform, the contents being displayed by the display device. Then, the computing platform may retrieve a record of the contents being displayed by the display device. Then, the computing platform may determine a risk level associated with the infrared signal. Subsequently, the computing platform may perform, via the computing platform and based on the risk level, a remediation task to prevent the unauthorized image capture.

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 protecting enterprise computing resources by implementing an optical air gap system. A computing platform may receive, from an external communications server, a message. The computing platform then may generate an image representation of the message received from the external communications server. Subsequently, the computing platform may execute an optical character recognition (OCR) process on the image representation of the message, which may produce a recreated message. Then, the computing platform may validate contents of the recreated message. Based on validating the contents of the recreated message, the computing platform may send, to an enterprise communications server, the recreated message, and sending the recreated message to the enterprise communications server may cause the enterprise communications server to deliver the recreated message to at least one enterprise user computing device.

Abstract: Arrangements for dynamical travel threat assessment and control are provided. In some examples, a system may receive a request to schedule travel. The request may include one or more aspects. Based on the aspects, threat data may be requested. The threat data may be requested from a plurality of data sources including internal data sources and external data sources. Machine learning may be used to evaluate the threat data to generate or identify one or more potential threats associated with the requested travel. Based on the generated one or more potential threats, one or more actions may be identified. The actions may include completion criteria used to determine whether an action has been completed. The actions may be transmitted to one or more devices for execution. After executing the actions, action response data may be received and compared to the completion criteria to determine whether the requested travel should be authorized or denied.

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: Methodologies, systems, components and software are provided that perform web analytics to measure visitor to consumer conversion continuously throughout surfing, through conversion and past completion of a purchase on-line. In accordance with at least one embodiment, such methodologies, systems, components and software may be utilized to determine efficacy of a plurality of parameters relating to one or more Transaction Related Offerings (TROs). In accordance with at least one embodiment of the invention, such methodologies, systems, components and software may be utilized to configure one or more Consumer Behavior Decision Models (CBDMs) and/or generate consumer behavior data.

Abstract: Methodologies, systems, components and software are provided that perform web analytics to measure visitor to consumer conversion continuously throughout surfing, through conversion and past completion of a purchase on-line. In accordance with at least one embodiment, such methodologies, systems, components and software may be utilized to determine efficacy of a plurality of parameters relating to one or more Transaction Related Offerings (TROs). In accordance with at least one embodiment of the invention, such methodologies, systems, components and software may be utilized to configure one or more Consumer Behavior Decision Models (CBDMs) and/or generate consumer behavior data.

Abstract: Methodologies, systems, components and software are provided that perform web analytics to measure visitor to consumer conversion continuously throughout surfing, through conversion and past completion of a purchase on-line. In accordance with at least one embodiment, such methodologies, systems, components and software may be utilized to determine efficacy of a plurality of parameters relating to one or more Transaction Related Offerings (TROs). In accordance with at least one embodiment of the invention, such methodologies, systems, components and software may be utilized to configure one or more Consumer Behavior Decision Models (CBDMs) and/or generate consumer behavior data.

Abstract: Methodologies, systems, components and software are provided that perform web analytics to measure visitor to consumer conversion continuously throughout surfing, through conversion and past completion of a purchase on-line. In accordance with at least one embodiment, such methodologies, systems, components and software may be utilized to determine efficacy of a plurality of parameters relating to one or more Transaction Related Offerings (TROs). In accordance with at least one embodiment of the invention, such methodologies, systems, components and software may be utilized to configure one or more Consumer Behavior Decision Models (CBDMs) and/or generate consumer behavior data.

Abstract: Methodologies, systems, components and software are provided that perform web analytics to measure visitor to consumer conversion continuously throughout surfing, through conversion and past completion of a purchase on-line. In accordance with at least one embodiment, such methodologies, systems, components and software may be utilized to determine efficacy of a plurality of parameters relating to one or more Transaction Related Offerings (TROs). In accordance with at least one embodiment of the invention, such methodologies, systems, components and software may be utilized to configure one or more Consumer Behavior Decision Models (CBDMS) and/or generate consumer behavior data.

Abstract: Methodologies, systems, components and software are provided that perform web analytics to measure visitor to consumer conversion continuously throughout surfing, through conversion and past completion of a purchase on-line. In accordance with at least one embodiment, such methodologies, systems, components and software may be utilized to determine efficacy of a plurality of parameters relating to one or more Transaction Related Offerings (TROs). In accordance with at least one embodiment of the invention, such methodologies, systems, components and software may be utilized to configure one or more Consumer Behavior Decision Models (CBDMs) and/or generate consumer behavior data.

Abstract: Methodologies, systems, components and software are provided that perform web analytics to measure visitor to consumer conversion continuously throughout surfing, through conversion and past completion of a purchase on-line. In accordance with at least one embodiment, such methodologies, systems, components and software may be utilized to determine efficacy of a plurality of parameters relating to one or more Transaction Related Offerings (TROs). In accordance with at least one embodiment of the invention, such methodologies, systems, components and software may be utilized to configure one or more Consumer Behavior Decision Models (CBDMS) and/or generate consumer behavior data.