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 elevated authentication model using cross-channel data. The present invention is configured to receive one or more exposure events from a detection system, wherein at least one of the one or more exposure events indicates that a user has failed an authentication requirement in at least one communication channel associated with the detection system; store the one or more exposure events in a centralized repository; determine one or more other communication channels across the one or more detection systems available for access to the user; and increase an authentication requirement of the user in the one or more other communication channels, wherein increasing the authentication requirement further comprises increasing an authentication level required to enable the user to access at least one of the one or more functions associated with at least one of the one or more applications.

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 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 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 elevated authentication model using cross-channel data. The present invention is configured to receive one or more exposure events from a detection system, wherein at least one of the one or more exposure events indicates that a user has failed an authentication requirement in at least one communication channel associated with the detection system; store the one or more exposure events in a centralized repository; determine one or more other communication channels across the one or more detection systems available for access to the user; and increase an authentication requirement of the user in the one or more other communication channels, wherein increasing the authentication requirement further comprises increasing an authentication level required to enable the user to access at least one of the one or more functions associated with at least one of the one or more applications.

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 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.