United Services Automobile Association (usaa)

Stephen Seyler Aultman

Thomas Bret Buckingham

Debra Randall Casillas

Jonathan Edward Neuse

Joseph James Albert Campbell

Sara Teresa Alonzo

Karen Marie Moritz

Ashley Raine Philbrick

Maland Keith Mortensen

Gabriel Carlos Fernandez

Brian Christopher Hawes

Alexis Maldonado

Micah Ray Pearce

Michael Frank Morris

Hudson Reid Jameson

Karen M Moritz

A computer-implemented method includes identifying behavioral characteristics of a user related to operation of a computing device prior to an online account session. The method includes comparing the behavioral characteristics to a behavioral profile previously developed based on prior behavioral characteristics of the user, and determining an appropriate mark difficulty level based on a variation between the behavioral characteristics and the behavioral profile. The method includes selecting, from a plurality of prompts stored in a prompt database, a prompt that comprises instructions to draw a mark having the appropriate mark difficulty level, where other prompts of the plurality of prompts comprise instructions to draw other marks different from the mark, and providing the prompt to the user as part of a logon process for the online account session.

Behavioral profiling method and system to authenticate a user

A computer programming system includes a processor configured to receive computer code in a textual format, and cause a 3-D visual representation of a portion of an immersive 3-D environment to be displayed via a 3-D visual instrumentation, where the 3-D visual representation comprises a visualization of the computer code in the textual format. The system also includes the three-dimensional (3-D) visual instrumentation, communicatively coupled with the processor, and configured to receive the 3-D visual representation, and to present the 3-D visual representation. The system also includes a motion detection instrumentation communicatively coupled with the processor, where the motion detection instrumentation is configured to receive a motion input, and where the 3-D visual representation within the immersive 3-D environment is adjusted based on the motion input. The system also includes an input device communicatively coupled with the processor, where the input device is configured to enable modifications to the computer code, and where the processor is configured to incorporate the modifications to the computer code into the immersive 3-D environment.

System and method for data visualization and modification in an immersive three dimensional (3-D) environment

A computer-implemented method includes selecting a prompt from a plurality of prompts stored in a prompt database, wherein the prompt comprises instructions to draw a mark, and wherein other prompts of the plurality of prompts comprise instructions to draw other marks different from the mark. The method also includes the steps of providing the prompt to a user as part of a logon process for an online account session, identifying behavioral characteristics of the user while the user draws the mark, comparing the behavioral characteristics to a behavioral profile previously developed based on prior behavioral characteristics of the user, and providing access to the online account session in response to determining that a variation between the behavioral characteristics and the behavioral profile is within a threshold.

Methods and systems for behavioral profiling, and in particular, utilizing crowd-managed data architectures to store and manage that profile, are described. In some embodiments, a method includes observing behavioral characteristics of user interactions during a current session with the user through one of a plurality of channels. Variations between the behavioral characteristics of the user interactions observed during the current session and a behavioral profile previously developed based on prior usage patterns of the user through the plurality of channels are identified, in real-time or near real-time.

Methods and systems for behavioral profiling are described. In some embodiments, a method includes observing behavioral characteristics of user interactions during a current session with the user through one of a plurality of channels. Variations between the behavioral characteristics of the user interactions observed during the current session and a behavioral profile previously developed based on prior usage patterns of the user through the plurality of channels are identified, in real-time or near real-time. For the user to proceed in the session, a challenge level is implemented based on the variations between the behavioral characteristics and the behavioral profile.

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San Antonio, TX, United States of America

Stephen Seyler Aultman