Capital One Services, LLC

Timur Sherif

Steve Blanchet

Hannes Mikael Jouhikainen

Zviad Aznaurashvili

Kevin Grant Osborn

Benjamin Lindquist

Michael Bakr Mossoba

Jeffrey Rule

Kaitlin J Newman

Christopher Jay Wu

Cara Weikel

Austin Erickson

Matthew Kloster

Tao Lin

Sophie Bermudez

Lesley Newton

Zoe Fisch

Scroll-based automatic field completion is disclosed. A page displayed by a web browser can be monitored for empty fields as the page is scrolled. Automatic fill or completion of the empty field can be triggered in response to a request to scroll down based on the location of the empty field on the page. Automatic completion can involve determining a type of data associated with the field and retrieving user data of the type from a data store. A machine learning model can also be invoked to predict a user's preference for multiple completion options. Further, automatic refill of a completed field with different information can be initiated in response to a scroll up and the location of the field on the page.

Scroll-based automatic field completion

In some implementations, a user device may detect a communication associated with the user device and a user. The user device may analyze, using a machine learning model, a context of the communication to determine a risk score associated with the communication, the risk score indicating a likelihood that the communication is associated with a fraudulent actor attempting to solicit sensitive information from the user. The user device may monitor the communication to identify a trigger in the communication that indicates that sensitive information is to be shared, wherein monitoring the communication includes performing one or more operations to secure the communication based on the risk score satisfying one or more thresholds. The user device may detect, based on monitoring the communication, a portion of the communication that includes the sensitive information. The user device may obfuscate the portion of the communication.

Obfuscating communications that include sensitive information based on context of the communications

Systems and methods related to integrating blockchain functions with external systems using a variable non-fungible token. A variable non-fungible token comprises a non-fungible token that is minted with an indication of a non-transferable ownership wallet (e.g., a digital wallet for which the non-fungible token is minted for), a non-transferable smart contract address that has permissions for updating metadata for the variable non-fungible token, and a metadata property threshold based on a specific user corresponding to the digital wallet.

Systems and methods for integrating blockchain functions and external systems for use in secure encrypted, communications across disparate computer network

Multi-factor authentication systems and methods are provided that include receiving a request to authenticate a user of a mobile device. The request for authentication may include credential information associated with the user and vehicle data. A determination may be made regarding whether the vehicle data was obtained from a vehicle via the mobile device. The received vehicle data and received credential information may be compared to stored data. When there is a match between the received vehicle data and received credential information and corresponding stored data, a notification may be provided to the user device indicating that the user has been authenticated.

Systems and methods of authentication using vehicle data

A system can include, for example, a secure data module(s) configured to store sensitive data regarding the user(s), a synthetic dataset generating module(s) configured to generate the synthetic dataset based on the sensitive data, and a control module configured to receive a request from an application for a dataset related to the user(s), provide the request to the synthetic dataset generating module(s), receive the synthetic dataset from the synthetic dataset generating module(s), and provide the synthetic dataset to the application. The synthetic dataset generating module(s) can be configured to generate the synthetic dataset based on the dataset.

System, method, and computer-accessible medium for determining the veracity of a bank fraud call

Systems and methods related to a variable non-fungible token that dynamically update metadata during blockchain functions. A variable non-fungible token comprises a non-fungible token that is minted with an indication of a non-transferable ownership wallet (e.g., a digital wallet for which the non-fungible token is minted for), a non-transferable smart contract address that has permissions for updating metadata for the variable non-fungible token, and a metadata property threshold based on a specific user corresponding to the digital wallet.

Systems and methods for dynamically updating metadata during blockchain functions

Systems and methods related to a variable non-fungible token. A variable non-fungible token comprises a non-fungible token that is minted with an indication of a non-transferable ownership wallet (e.g., a digital wallet for which the non-fungible token is minted for), a non-transferable smart contract address that has permissions for updating metadata for the variable non-fungible token, and a metadata property threshold based on a specific user corresponding to the digital wallet.

Systems and methods for generating variable non-fungible tokens linked to designated off-chain computer resources for use in secure encrypted, communications across disparate computer network

A transaction card is provided for communicating with a computing device. The transaction card may comprise a computer interface device, at least one memory, at least one processor, and a card reader module. The card reader module configured to receive, from the computing device through the computer interface device, a first data packet comprising a request associated with a transaction, the first data packet being compatible with an interface protocol. The card reader module may process the first data packet to generate a second data packet compatible with the payment authentication protocol; provide the second data packet to the processor; receive, from the processor, a third data packet comprising a response to the request; process the third data packet to generate a fourth data packet based on the response, the fourth data packet compatible with the interface protocol; and transmit, to the computer interface device, the fourth data packet.

Transaction card with integrated USB device

Example embodiments of systems and methods for secure online order pick up and data transmission system between transmitting and receiving devices are provided. In an example embodiment, a user may be required to confirm his or her identity prior to using an application, utilizing enhanced or restricted features of an application or device, viewing sensitive information, or taking certain actions. A transmitting device, such as a contactless card, may be employed as means for confirming a user's identity and access these features.

Systems and methods for establishing identity for order pick up

In some implementations, an identity verification device may receive a request to verify an identity associated with a user accessing a social media account to share information on a social media platform. The identity verification device may generate, based on the request, a virtual credential linked to a primary credential associated with a financial account belonging to a holder of the social media account. The virtual credential may be used in an identity verification transaction to prove that the user accessing the social media account has access to the financial account associated with the social media account holder. The identity verification device may store a record indicating that the virtual credential was used to conduct the identity verification transaction and may provide, to the social media platform, information to verify the identity associated with the user accessing the social media account based on the record.

Identity verification using a virtual credential

A system for verifying a user identity. The system comprises one or more memory devices storing instructions and one or more processors configured to execute the instructions. The processors are configured to receive information associated with an account of a user. The processors are further configured to generate a first profile, where the first profile being related to the user. The processors also receive an indication that the account is accessed by an accessor through an accessor device; and receive, from the accessor device, identity data comprising a plurality of data subsets associated with the accessor. The processors are configured to store the data subsets in respective clusters. The processors are further configured generate cluster analyses by analyzing the data subsets in respective clusters; and output the cluster analyses to node instances that weighs the cluster analyses outputs. The processors also generate a second profile, the second profile related to the accessor and being based on the received identity data and weighted cluster analysis. And the processors are configured to determine a likelihood factor that the accessor is the user based on a comparison of the first profile and the second profile.

Methods and processes for utilizing information collected for enhanced verification

A device may receive meeting data associated with a first meeting, the first meeting having previously occurred. The device may obtain, based on the meeting data, data identifying at least one individual associated with the first meeting and data identifying at least one topic associated with the first meeting. In addition, the device may identify a second meeting based on the at least one individual or the at least one topic, the second meeting having not yet occurred. The device may provide, to a user device associated with the second meeting and based on identifying the second meeting, at least a portion of the meeting data associated with the first meeting.

Managing meeting data

The disclosed embodiments provide systems, methods, and techniques for managing merchandising cards. A merchandising card may be, for example, a gift card, loyalty card, or the like. Consistent disclosed embodiments, a system for managing merchandising cards may include one or more memory devices storing instructions and one or more processors configured to acquire, from a device over a network, a plurality of locations associated with the device, the device locations being acquired at different instances in time within a predetermined period of time. Additionally, the processor may be configured to calculate a merchant confidence rating for a merchant using the device locations. Further, the one or more processors may be configured to, based on the merchant confidence rating, determine that the merchant matches a merchant that is associated with merchandising card, and send a reminder a user of the device.

Systems and methods for managing electronic tip data to provide merchant reviews

Embodiments disclosed herein generally relate to a method and system of generating text input via facial recognition. A computing system receives a video stream of a user operating an application on a client device. The video stream includes a time series of images of the user. The computing system parses the video stream to identify one or more visual cues of the user. The computing system identifies a current page of the application. The computing system maps the identified on or more visual cues to an operation available on the current page of the application. The computing system executes the mapped operation.

Growing community of inventors

Washington, DC, United States of America

Timur Sherif