Capital One Services, LLC

Kelly Jo Brown

Jonathan Blocksom

Jesse Emery

Calvin Sun

Victoria Yang

Brian Glowniak

Edward Husa

Todd Safford

Eric Medin

Carine Todmia

Swapna Mandala

Lauren Corron

Audrey Zhang

Nishant Garg

Kiran Kumar Vallabhaneni

Arnold Balliu

Jocelyn Huang

Methods, systems, and apparatuses for risk analysis of web pages using a machine learning model are described herein. A computing device may receive a risk detection machine learning model trained to receive input corresponding to a web page and output an indication of risk associated with the web page. The computing device may execute a web browser application and collect user activity data by monitoring user activity associated with the web browser application. The computing device may access, via the web browser application, a first web page, and collect page data associated with the first web page. The computing device may calculate a risk level of the first web page. The risk level may be calculated by processing, using the risk detection machine learning model, both the user activity data and the page data. A security recommendation may be output based on the risk level.

Web page risk analysis using machine learning

A card dispenser for dispensing a rewritable card is disclosed herein. The card dispenser may include a card feeder for receiving or dispensing a rewritable card. In addition, the card dispenser includes a roller assembly for moving the card from the card feeder to components within the card dispenser; a processor for receiving card data via a short-range wireless connection with a mobile device of a user, the card data including (i) a card identifier of a plurality of card identifiers associated with an account of the user and (ii) a unique derivation key for encrypting the card identifier; and a card writer for powering an electrophoretic display of the card, causing at least a portion of the card data to be rendered on the display, and stopping the powering of the display.

Card dispenser

Systems and methods for triggering a virtual certification number (VCN) generation for use at a source include receiving a VCN generation request from an external entity, the VCN generation request comprising an external request code, external risk signals, and one or more source data for the source, verifying a registration authentication of an account associated with the external request code by comparing the external request code to a database entry, identifying a certification mechanism reference identifier associated with the external request code based on verifying the registration authentication, generating a risk authentication based on a risk analysis conducted using the external risk signals and the external request code, identifying a source identifier based on the one or more source data, and generating the VCN based on the certification mechanism reference identifier and the source identifier.

Systems and methods for virtual certification

Systems and methods include registering use of a virtual certification number (VCN) at a secure entity by receiving, at an external gateway, a registration request comprising an external request code and a primary account number (PAN), wherein the external request code is unique to the secure entity, determining that the external request code is an unregistered external request code, receiving a tokenized PAN based on the PAN, receiving an account identifier by applying the tokenized PAN to a certification mechanism tool application programing interface (API), generating a certification mechanism reference identifier by encrypting a certification mechanism associated with the account identifier and the tokenized PAN, updating a database to associate the certification mechanism reference identifier with the external request code, and transmitting, via the external gateway, a registration authentication to an external entity, the registration authentication comprising the external request code.

Systems and methods for virtual certification number registration

Systems and methods include providing virtual certification number (VCN) authorizations to an external entity by receiving a plurality of secure entity global authorizations comprising global VCN authorizations and global primary account number (PAN) authorizations, identifying the global VCN authorizations, identifying a subset of the global VCN authorizations, each of the subset of the global VCN authorizations corresponding to an external entity authorization, comparing the subset of global VCN authorizations to previously provided VCN authorizations, to identify an unsent VCN authorization, storing a transmittable unsent VCN authorization based on the unsent VCN authorization, providing an unsent authorization indication to the external entity, receiving, from the external entity, a request for the unsent VCN authorization based on providing the unsent authorization indication to the external entity, and providing the transmittable unsent VCN authorization to the external entity, based on storing the transmittable unsent VCN authorization and verifying a consent flag.

Systems and methods for virtual certification number authorization transmission

Systems and methods for authorizing a source for virtual certification number (VCN) use include receiving a VCN use request from an external entity, the VCN use request including the VCN and transaction data associated with the VCN use request, determining that a VCN binding for the VCN is a strict binding, mapping the transaction data to a transaction source having a transaction source identifier based on the VCN binding being the strict binding, determining a VCN source identifier for the source associated with the VCN, based on a registration authentication of the VCN with the source, comparing the VCN source identifier to the transaction source identifier, determining that the VCN source identifier corresponds to the transaction source identifier based on comparing the VCN source identifier to the transaction source identifier, outputting an approved authorization indicating that the VCN is associated with the source and the source is the transaction source.

Systems and methods for virtual certification number source verification

In some implementations, a terminal device may receive, from a mobile device associated with a user, first information identifying a first facial depth map of the user generated by the mobile device. The terminal device may generate a second facial depth map of the user. The first facial depth map may be generated before the second facial depth map. The terminal device may determine whether the user is authenticated to perform an exchange based on whether the first information identifying the first facial depth map corresponds to second information identifying the second facial depth map. The terminal device may transmit, to the mobile device and based on determining that the user is authenticated, a message indicating that the user is authenticated. The terminal device may receive, from the mobile device, exchange information identifying a credential for performing the exchange.

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Rockville, MD, United States of America

Kelly Jo Brown