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: The invention describes a system and method employing machine learning and artificial intelligence engines to monitor data streams in real-time across multiple channels in order to detect anomalies and generate prioritized alerts. In particular, the invention may continuously collect data across multiple channels. The obtained data may be compared with reference data to continuously update a confidence level associated with the user, channel, entity, or other identifying factor. The invention may detect any inconsistencies in the data collected over time and generate an alert to the user in question and potentially to other downstream users or entities. In this way, the invention not only provides a way to detect anomalies in a cross-channel fashion, but also creates a mechanism for feedback wherein the system may incorporate user feedback to resolve alerts and detected anomalies.

Abstract: The invention describes a system and method employing machine learning and artificial intelligence engines to monitor data streams in real-time across multiple channels in order to detect anomalies and generate prioritized alerts. In particular, the invention may continuously collect data across multiple channels. The obtained data may be compared with reference data to continuously update a confidence level associated with the user, channel, entity, or other identifying factor. Based on the confidence level, profile the user to detect any inconsistencies in the data collected over time and generate an alert to the user in question and potentially to other downstream users or entities. In this way, the invention not only provides a way to detect anomalies in a cross-channel fashion, but also creates a mechanism for feedback wherein the system may incorporate user feedback to resolve alerts and detected anomalies.

Abstract: The invention is a novel system that uses a continuous and competitive authentication process to identify users within an entity's systems. In particular, the invention may continuously collect authentication data across multiple channels (e.g., authentication data obtained through a mobile app, website, telephone, on-site methods, and the like) as well as non-authentication data. The obtained data may be compared with reference data (e.g., historical data) to continuously update a confidence level associated with the user. Based on the confidence level, profile the user to detect any inconsistencies in the data collected over time. The system may further execute one or more competitive processes in parallel with traditional authentication processes to identify potentially unauthorized users.

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 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 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.