Bank of America Corporation

Adam Kristian King

Michael Robert Young

Michael James Sbandi

Robert Cain Durbin, Jr

Chiamaka Azih

Tarani Avasarala

Robert Hannon Sparks

Camilla Tyborowski

Jo-Ann Taylor

Anna Kristen Pingel Berry

Michael Young

Stuart David Ford

Son Huynh

Rebbecca Danielle Nelson

Manil Ashish Trivedi

William R Overhultz, Jr

Henrry Batista

Sophia Brianna Bui

Rafael Josue Alfaro

Jose Miguel Magadan, Iii

Elizabeth Marie Bennett

Joshua Shi

Tarsha Salley

Anthony D Lange

Madeline Deneen Fest

Angelica Barrera

Vicky Kivuti

A method for providing a quantum reflection access credentialing (QRAC) system. The method includes receiving a user login. The user login may include a username and password. The user login may be associated with a known user. The system may include a memory for storing information corresponding to light reflected from the face of the user. The method may further include selecting, or receiving a selection of, a light source from among an array of light sources. The method may also include shining light generated by the selected light source on the user's face. The method may also include scanning the user face to capture a reflection of the light generated by the light source. The method may then include confirming that the information stored in the memory corresponds to the reflection of the light generated by the light source. In response to confirming that the information stored in the memory corresponds to the reflection of the light generated by the light source, the method may credential user access.

Quantum reflection access credentialing (QRAC)

A system for detecting and addressing security threats is disclosed. The system detects incoming network traffic to a computing device. The system detects physical and digital effects of the network traffic on the computing device. The system determines that the network traffic is causing a first set of anomalies based on the physical and digital effects of the network traffic. The system compares the first set of anomalies with a second set of anomalies associated with previously known malicious network traffic. If the system determines that more than a threshold percentage of the first set of anomalies corresponds to counterpart anomalies from the second set of anomalies, the system determines that the network traffic corresponds to the malicious network traffic. The system communicates a security patch associated with the second set of anomalies and instructions that cause the security patch to be executed to the computing device.

Security patch deployment in response to detecting malicious network traffic

A system for network augmentation using virtual reality is provided. The system may include uploading data relating to a network, to a network augmentation system. The system may include retrieving data relating to network standards. The system may include retrieving data relating to historical network vulnerabilities. The system may include an artificial intelligence ('AI') module. The AI module may be configured to analyze the network and determine possible network vulnerabilities. The AI module may be configured to output a three-dimensional map of the network to a display module. The three-dimensional map may be displayed on the display module. The three-dimensional map may include the identified possible network vulnerabilities. The system may be further configured to overlay solutions to the possible network vulnerabilities on the three-dimensional map.

Augmented and virtual reality security planner

Apparatus and methods for establishing a user Internet of Things ('IoT') system is provided. The method may be performed by a central IoT hub run on a user's personal computing device. The method may include detecting user devices in electronic communication with the central IoT hub and onboarding, to the user IoT system, user devices determined to be in conformance with baseline security protocols and performance characteristics. The onboarded user device may be IoT nodes. The method may include monitoring enterprise data to pre-emptively identify and address probable failures of the IoT nodes prior to failure of the IoT nodes. The method may also include addressing known failures for each IoT node on the user IoT system.

Enterprise IOT system for onboarding and maintaining peripheral devices

A blind authenticator performs an authentication procedure with two devices that provides the convenience offered by password storage but avoids storing the passwords themselves. Generally, the blind authenticator stores on the two devices portions of different code generation algorithms. These algorithms on the devices are incomplete&#x2014;they may not execute properly on their own. During an authentication procedure, the blind authenticator communicates to the devices the remaining portions of these code generation algorithms so that the devices can execute their respective code generation algorithms. The devices then send the generated codes to the blind authenticator, which performs a code validation algorithm on the received codes to determine whether the codes are valid. The code validation algorithm is not sent to the devices, so the devices do not know what makes a code valid or invalid.

Blind authenticator

Growing community of inventors

Fort Mill, SC, United States of America

Adam Kristian King