Bank of America Corporation

Elliot Piatetsky

Craig Douglas Widmann

Scott Anderson Sims

Dharmender Kumar Satija

Michael Joseph Carroll

Sai Kishan Alapati

Andrew DongHo Kim

Kolt Bell

Stephen M Schneeweis

Michael E Toth

Brian H Corr

Jeffrey Brian Bashore

Ronnie Joe Morris, Jr

Holly J Martinez

Jennifer Quillen

Dana Michele Meadows

Aron Megyeri

Amy Heather DeLeon

Tracy R Regehr

John David Welsh

Andrew Scott Humm

Hitesh Shah

The present invention is generally related to systems and methods for providing an improved authentication and verification system through the use of compiled user data and user location or traffic data from multiple channels of input. Multiple devices may be utilized by the system in order to receive and process data to authenticate user identities and verify the validity of account activity.

Systems and methods for geolocation security using biometric analysis

Aspects described herein relate a computer system detecting an unusual activity event from activity data and sending a two-way notification message to a wireless device when a user has opt-in for a mobile application. The two-way push notification message is received at a wireless device and notification information is displayed at the wireless device outside the mobile application. The user selects one of the displayed action buttons to indicate whether the unusual activity event is valid or invalid. When a response to the computer system indicates that the unusual activity is valid, the computer system clears the inquiry and sends a subsequent push notification message to the wireless device informing the user. When the response indicates that the unusual activity is invalid, the computer system and the wireless device may establish an interaction through the mobile application in order to resolve the unusual activity event.

Two-way push notification of activity events through a wireless device

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.

Cross platform user event record aggregation system

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.

Cross channel authentication elevation via logic repository

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.

System for across rail silo system integration and logic repository

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New York, NY, United States of America

Elliot Piatetsky