Abstract: Systems, computer program products, and methods are described herein for cross platform user event record aggregation system. The present invention is configured to receive one or more exposure events from one or more detection systems; determine that a combination of at least a portion of the one or more exposure events indicates an intrusion in at least one of the one or more detection systems, thereby requiring elevated review of each exposure event; initiate the elevated review based on at least the indication of the intrusion; determine whether the intrusion is benign or harmful; and re-train the machine learning algorithm based on at least determining whether the intrusion is benign or harmful, thereby adjusting the score for future incidents of each exposure event in the combination of at least a portion of the one or more exposure events.

Abstract: Systems, computer program products, and methods are described herein for the creation of an exposure identification and distribution system for across silo channel integration. In this way, the system allows team integration of data across rails and silos for exposure identification. As such, the system generates a centralized repository for data and a communication linkage across the various systems used for identifying exposure and manipulated for linkage via a specific taxonomy overlay. Furthermore the system also includes logic that, when identification of a potential exposure indicate occurs, the system may communicate via distribution over the rails for integration and sharing for cross entity exposure identification.

Abstract: Systems, computer program products, and methods are described herein for transfer of resources via a secure channel using an alias. The present invention receives a first alias associated with a user; dynamically generates a web portal associated with the entity to enable the user to input an authorization code; electronically receives, via the web portal, the authorization code from the user; determine a first resource event based on at least receiving the first alias and the authorization code; triggers the first resource event based on at least a successful validation of the authorization code; and transfers the resources from the user record associated with the third party to the target record via the secure channel in response to triggering the first resource event.

Abstract: Systems and computer-readable media are disclosed for utilizing one or more databases to detect a point of compromise (“POC”). A POC detection computing platform may receive data associated with a potential point of compromise from a first computing system. The POC detection computing platform may extract data associated with the potential point of compromise from one or more central servers and/or databases. The extracted data may then be analyzed to determine if a point of compromise has been detected. The POC detection computing platform may transmit the results of the analysis to a second computing system.

Abstract: Aspects of the disclosure relate to deploying and utilizing a dynamic record identification and analysis computer system with event monitoring components. In some embodiments, a computing platform may receive, from a contact feed generation computer system, one or more contact feeds comprising contact data identifying one or more contacts associated with one or more user accounts. The computing platform may analyze the one or more contact feeds to identify a first subset of user accounts of the one or more user accounts having one or more attributes associated with one or more predetermined account security concern characteristics. Subsequently, the computing platform may add the first subset of user accounts of the one or more user accounts to an alert table maintained by the computing platform, and may send, to an analyst computer system, alert table listing information identifying contents of the alert table maintained by the computing platform.

Abstract: Systems and computer-readable media are disclosed for utilizing one or more databases to detect a point of compromise (“POC”). A POC detection computing platform may receive data associated with a potential point of compromise from a first computing system. The POC detection computing platform may extract data associated with the potential point of compromise from one or more central servers and/or databases. The extracted data may then be analyzed to determine if a point of compromise has been detected. The POC detection computing platform may transmit the results of the analysis to a second computing system.

Abstract: Aspects of the disclosure relate to deploying and utilizing a dynamic record identification and analysis computer system with event monitoring components. In some embodiments, a computing platform may receive, from a contact feed generation computer system, one or more contact feeds comprising contact data identifying one or more contacts associated with one or more user accounts. The computing platform may analyze the one or more contact feeds to identify a first subset of user accounts of the one or more user accounts having one or more attributes associated with one or more predetermined account security concern characteristics. Subsequently, the computing platform may add the first subset of user accounts of the one or more user accounts to an alert table maintained by the computing platform, and may send, to an analyst computer system, alert table listing information identifying contents of the alert table maintained by the computing platform.