Bank of America Corporation

Craig Douglas Widmann

Scott Anderson Sims

Andrew DongHo Kim

Dharmender Kumar Satija

Eren Kursun

Kolt Bell

Michael Joseph Carroll

Jeffrey Brian Bashore

Elliot Piatetsky

Sai Kishan Alapati

Stephen M Schneeweis

Brian H Corr

Amijo Bearley

Alvino Sarran

Ronnie Joe Morris, Jr

Jennifer Quillen

Alex Stapleton

Michael E Toth

John Tuders

Holly J Martinez

Aron Megyeri

Tracy R Regehr

Michael Ayers-Morris

Robert D Jones

Pavan Kumar Reddy Kotlo

Jeffrey David Finocchiaro

Joel Filliben

Elizabeth Votaw

Hitesh Shah

Youshika C Scott

Randy J Nelson

Don Cardinal

James F Stevens

Dana M Pusey-Conlin

Jeff Zusi

Ronnie J Morris

Nicole Ryan

Michael Shih

Brandon Weeks

Christopher J Cooley

Lizabeth Rosenberg

Akhilendra Reddy Kotha

Paulette Price

Margaret A Payne

Shawn Parris Bench

Lorraine C Edkin

A system for event-based peer-to-peer resource transfers. The system may include a controller configured for tracking and confirming resource transfers, the controller being further configured to: generate a resource transfer for transferring a resource from a first user device to a second user device, where the resource transfer includes a conditional event for triggering a transfer of the resource, and where the conditional event is accepted by the first user device and the second user device; receive the resource from the first user device, where the resource is held separate from the first user device and the second user device; determine that the conditional event has been executed by at least one of the first user device and the second user device; and based on the determining that the conditional event has been executed, trigger the transfer of the resource to the second user device.

System for secure peer-to-peer interactions with event-based confirmation triggering mechanism

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

Systems, computer program products, and methods are described herein for detection and classification of intrusion using machine learning techniques. The present invention is configured to electronically receive, from a computing device of a user, an indication that the user has initiated a first resource interaction; retrieve information associated with the first resource interaction, wherein the information comprises at least one or more parameters associated with the first resource interaction; initiate a machine learning model on the one or more parameters associated with the first resource interaction; and classify, using the machine learning model, the first resource interaction into one or more classes, wherein the one or more classes comprises one or more access types.

System for detection and classification of intrusion using machine learning techniques

Embodiments of the invention are directed to a system, method, or computer program product for cross-channel network security with tiered adaptive mitigation operations. In this regard, the invention is structured for dynamic detection of security events associated with network devices and resources, and triggering real-time mitigation operations across a plurality of resource channels. The invention provides a novel method for employing activity data to construct and implement mitigation actions for de-escalating authorization tiers that are adapted to the specific attributes of the activity data, in order to prevent security exposure associated with the activity. Another aspect of the invention is directed to determining whether to continue the tiered adaptive mitigation actions and/or trigger a security proceed signal.

Cross-channel network security system with tiered adaptive mitigation operations

Systems, computer program products, and methods are described herein for intrusion detection using resource activity analysis. The present invention is configured to receive, from a computing device of a user, an indication that the user has accessed a resource allocation portfolio of a customer; determine a geographic information of the user; retrieve a geographic information of the customer; determine that the geographic information of the user does not match the geographic information of the customer; determine an exposure level associated with the user access of the resource allocation portfolio of the customer; determine that the exposure level is greater than a predetermined threshold; and automatically trigger a transmission of a notification to a computing device of an administrator indicating that the exposure level associated with the user access of the resource allocation portfolio of the customer is greater than the predetermined threshold.

System for intrusion detection using resource activity analysis

Embodiments of the present invention provide an innovative system, method, and computer program product for automated device activity analysis in both a forward and reverse fashion. A collaborative system for receiving data and continuously analyzing the data to determine emerging patterns associated with particular user devices is provided. The system is also designed to generate a historical query of user device touch points or interaction points with entity systems across multiple data vectors, and generate system alerts as patterns or potential issues are identified. Common characteristics of data may be used to detect patterns that are broadened in scope and used in a generative neural network approach.

Systems and methods for automated device activity analysis

Machine learning models, semantic networks, adaptive systems, artificial neural networks, convolutional neural networks, and other forms of knowledge processing systems are disclosed. An ensemble machine learning system is coupled to a graph module storing a graph structure, wherein a collection of entities and the relationships between those entities forms nodes and connection arcs between the various nodes. A hotfile module and hotfile propagation engine coordinate with the graph module or may be subsumed within the graph module, and implement the various hot file functionality generated by the machine learning systems.

Unsupervised machine learning system to automate functions on a graph structure

The invention relates to alternate user communication routing for a one-time credential. When a user is determined to be an unauthorized user, the unauthorized user may be provided with an alternative one-time credential (e.g., one-time password, or the like) in response to the user trying to take an action (e.g., to access the organization systems in order to access information). When the unauthorized user tries to utilize the alternative one-time credential, the organization may identify the user as unauthorized and determine how to respond to the unauthorized user. In addition to the alternative one-time credential, one or more additional alternate treatments may be presented to the unauthorized user in order to identify, track, and/or prevent access by the unauthorized user.

Alternate user communication routing for a one-time credential

Aspects of the disclosure relate to deploying and utilizing a dynamic record identification and analysis computer system with event monitoring components. A computing device may receive account reconnaissance data identifying a first plurality of user accounts that have experienced at least one event associated with account security concern characteristics. The computing platform may analyze event history data associated with the first plurality of user accounts to identify one or more common interactions associated with a subset of the first plurality of user accounts. The computing platform may identify a point of compromise among the subset of the first plurality of user accounts. Subsequently, the computing platform may search enterprise user account records to identify a second plurality of user accounts that have at least one event associated with the point of compromise. The computing platform may add the second plurality of user accounts to an alert table.

Dynamic record identification and analysis computer system with event monitoring components

A system for event-based peer-to-peer resource transfers. The system comprising: a controller configured for tracking and confirming resource transfers, the controller being further configured to: generate a resource transfer for transferring a resource from a first user device to a second user device, wherein the resource transfer comprises a conditional event for triggering a transfer of the resource, and wherein the conditional event is accepted by the first user device and the second user device; receive the resource from the first user device, wherein the resource is held separate from the first user device and the second user device; determine that the conditional event has been executed by at least one of the first user device and the second user device; and based on the determining that the conditional event has been executed, trigger the transfer of the resource to the second user device.

A system and methods for alternate user communication routing are described. Unauthorized users are identified and alternate treatments are provided in order to deter unauthorized access and create opportunities for data collection. The use of a varied set of alternate treatments provides an enhanced view of unauthorized user behavior and an increased ability to track future unauthorized user actions by recording various user identity/communication characteristics specific to known unauthorized users. Alternate treatments may be provided randomly based on a set of alternate treatments previously provided to a specific user, or may be varied based on an identified group of unauthorized users presumed to be acting in concert.

Alternate user communication routing

Growing community of inventors

Chandler, AZ, United States of America

Craig Douglas Widmann