Capital One Services, LLC

Societe Des Produits Nestle S.a.

Soci&#xc9;t&#xc9; Des Produits Nestl&#xc9; S.a.

Tyler Maiman

Joshua S Edwards

Viraj Chaudhary

Samuel Rapowitz

Stephen Robert Schneider

Lin Ni Lisa Cheng

David Septimus

Daniel Herrington

Bryant Alan Yee

Jenny Melendez

Abdelkader M'Hamed Benkreira

Asher Smith-Rose

Michael Bakr Mossoba

Kevin Grant Osborn

Brendan Way

Shabnam Kousha

Daniel Miller

Kathryn Tikoian

Vyjayanthi Vadrevu

Salik Shah

Daniel E Miller

Phoebe Atkins

Ljubica Chatman

David Gabriele

Aysu Ezen Can

Alexander Lin

Jude Pierre Anasta

Mia Rodriguez

Feng Qiu

Guadalupe Bonilla

Meredith Leigh Critzer

Wayne David Lutz

Saleem Ahmed Sangi

Daniel John Marsch

Michael Saia

Leeyat Bracha Tessler

Vahid Khanagha

Abdelkader Benkreira

Max Miracolo

Nimma Bhusri

Sarah Jane Cunningham

Cruz Vargas

Charles Moore

Adam Vukich

Timothy W James

Shannon Yogerst

Smeeta Khetarpaul

Ashley Dakota Ross

Andrius Dapkus

Matthew Gorman

Laetitia Allexant

Sophie Bermudez

Dwij Trivedi

Andrea Montealegre

Gaurang J Bhatt

Jennifer Kwok

Abdelkadar M'Hamed Benkreira

Abdelkader M'hamed Benkreira

Matthew Horton

Negar Kalbasi

Erik Neighbour

Imren Johar

Haytham Yaghi

Armando Martinez Stone

Samuel Yip

Jose Vazquez

Juwan Byrd

Yichen Zhang

Albert Hergenroeder

Tasneem Adamjee

Elaine Markey

Jerry Wu

Robert Mays

Example embodiments of systems and methods for preventing chip fraud are provided. A chip fraud prevention system may comprise a device including a chip, wherein the chip is at least partially encompassed in a chip pocket. One or more connections may be communicatively coupled to one or more surfaces of the chip, and a capacitance member may be coupled to a surface of the chip. The capacitance member may comprise a known capacitance value and the chip may comprise a memory containing an applet, wherein the applet is configured to measure the capacitance value of the capacitance member.

Systems and methods for use of capacitive member to prevent chip fraud

In some implementations, a reliability modeler may receive a plurality of webpages associated with a first entity from an Internet scraping device. The reliability modeler may detect, within the plurality of webpages, at least one of a logo, a font, or a color. The reliability modeler may apply a model, trained on a set of guidelines associated with the first entity, to the logo, the font, or the color. Accordingly, the reliability modeler may determine, based on output from the model, that the plurality of webpages are unlikely to be authorized by the first entity. The reliability modeler may transmit, to a user device, an alert based on determining that the plurality of webpages are unlikely to be associated with the first entity.

Detecting reliability across the internet after scraping

Methods and systems are described herein for facilitating token use authentication using stochastic-model-derived images. The system may detect an authentication request to authenticate use of an access token and retrieve operation data associated with the access token. The system may determine, based on the operation data, source data associated with a source of a network operation and alternative source data associated with an alternative source. The system may provide, to a stochastic machine learning model, the source data to obtain a first image for the network operation and the alternative source data to obtain a second image for the network operation. The system may then generate, for display, the first image and the second image and may receive a selection of the first image. Based on the selection of the first image, the system may grant the authentication request.

Facilitating authentication using stochastic-model-derived images

Methods, systems, and apparatuses are described herein for improving the security of personal information by preventing attempts at gleaning personal information from authentication questions. A computing device may receive a request for access to an account associated with a user. The request may comprise candidate authentication information. Based on comparing the candidate authentication information with the account data, the computing device may generate a synthetic authentication question. The synthetic authentication question may be generated as if the candidate authentication information is valid. A response to the synthetic authentication question may be received, and the request for access to the account may be denied.

Preventing unauthorized access to personal data during authentication processes

In some embodiments, the present disclosure provides an exemplary method that may include steps of obtaining, a permission from each user to monitor a plurality of activities; continually receiving monitoring data of the plurality of activities; identifying a plurality of related incoming interaction sessions within the predetermined period of time; automatically verifying at least one common session parameter; utilizing a machine learning algorithm to determine at least one transaction; determining a plurality of fraudulent transactional rules; automatically adjusting the plurality of fraudulent transactional rules; utilizing a natural language processing algorithm to automatically generate at least one interaction notification; receiving a response to the interactive notification; and automatically updating the database of known session interaction parameters based on the response to the interactive notification.

Computer-based systems configured to generate an interactive communication for a plurality of the repetitive interaction sessions and methods of use thereof

In some embodiments, the present disclosure provides an exemplary method that may include steps of monitoring, a conversation script between a call center agent and a customer; utilizing, a speech-to-text deep machine learning model to transcribe the audio call to text; utilizing, a natural language processing deep machine learning model to map intent mappings of the audio call; utilizing, a similarity measurement model to determine a semantic similarity between predefined intent mappings and the intent mappings of the call audio text; determining, an error based on the semantic similarity in the intent mapping call audio text; determining a training session based on the error.

Computer-based systems configured to monitor a communication session and generate a training session and methods of use thereof

In some implementations, a system may capture audio from a call between a calling device and a called device. The system may filter the captured audio to generate a background audio layer. The system may generate an audio footprint that is a representation of sound in the background audio layer. The system may determine that the audio footprint includes a triggering sound footprint based on one or more audio characteristics of the audio footprint. The system may detect synthetic sound based on the audio footprint and after determining that the audio footprint includes the triggering sound footprint, wherein the synthetic sound is indicative of a sound recording. The system may transmit a notification to one or more devices associated with the call based on detecting the synthetic sound.

Detecting synthetic sounds in call audio

In some embodiments, validation of network operations related to use of a token via a token request based on entity characteristics may be facilitated. In some embodiments, a token request indicating use of a token to access an item associated with an entity may be detected, where the token is bound to one or more entity characteristics. Based on the token request, an entity identifier associated with the entity may be obtained. Using the entity identifier, one or more item characteristics of items available via the entity may be determined. Determining whether the entity satisfies the one or more entity characteristic to which the token is bound may be determined based on the one or more item characteristics. Access to the item associated with the entity may be validated based on the determination indicating that the entity satisfies the one or more entity characteristics to which the token is bound.

Systems and methods for validating network operations related to use of a token via a token request based on entity characteristics

A payment instrument comprising a bottom layer; one or more intermediate layers, wherein at least one of the one or more intermediate layers comprises: a chip comprising a processor and memory; an antenna coupled with the chip; an absorbent medium; and one or more reservoirs comprising beads, each of the beads comprising dyes of one or more colors, the beads configured to release the dyes onto the absorption medium. The dyes cure on the absorption medium at a rate based on a curing agent applied to the absorbent medium or included in beads of the reservoirs. The payment instrument may also comprise a top layer having at least a partially translucent portion above the absorption medium, wherein the absorption medium is at least partially visible through the at least one partially translucent portion.

Methods and arrangements for a payment instrument with a unique design

In some implementations, a server may receive, from a first user, an indication of a first set of times and receive, from the second user, an indication of a second set of times. The server may determine a first location associated with the first user and a second location associated with the second user. Accordingly, the server may identify a set of events based on the first location, the second location, the first set of times, and the second set of times. The server may further select a subset of events, from the set of events, based on first event data associated with the first user and second event data associated with the second user. Based on a selected event from the subset of events, the server may identify an API associated with the selected event and may trigger a call to the identified API.

User pairing and triggering activities using event data

Methods and systems are described herein for manipulating a communication acceptance screen, manipulating an interactive communication acceptance icon, and restricting access to accounts based on voice communication parameters. In particular, when a communication is detected from one device to another device, that communication may be risky. Thus, the risk is mitigated by giving a user information about the source of the communication to give a user a chance to reject the communication. In addition, in instances where the user accepts the communication, the system enables monitoring the communication and restricting any accounts that are disclosed within the communication.

Restricting access based on voice communication parameters

Methods, systems, and apparatuses are described herein for improving computer authentication processes through the exclusion of certain merchants that may cause confusion. Indications of a plurality of different merchants, including merchant logos may be received. The indications may be processed to identify at least one similarity between a first merchant and a second merchant. A request for access to an account associated with a user and transaction data corresponding to the account may be received. Based on the similarity between the first merchant and the second merchant, at least one transaction corresponding to the first merchant may be removed to generate processed transaction record. An authentication question may be generated and a candidate response to the authentication question may be received. Based on the candidate response, access to the account may be provided.

Account authentication excluding merchants based on merchant logos

In some embodiments, the present disclosure provides an exemplary method that may include steps of obtaining a permission from the user to monitor a plurality of activities executed within the computing device; continually monitoring the plurality of activities executed within the computing device for a predetermined period of time; identifying an indication of an incoming interaction session within the predetermined period of time; verifying at least one session interaction parameter associated with the incoming interaction session to identify the incoming interaction session as a repeat interaction session; dynamically retrieving at least one relation-specific notation from a plurality of relation-specific notations to display; instructing an input GUI element to display input data associated with the repeat interaction; automatically updating the plurality of relation-specific notations associated with the historical data relationship; and instructing at least one programmable output GUI to display a notification identifying the update of the plurality of relation-specific notations.

Computer-based platforms and systems configured to enhance a call screen with user-controlled notes associated with the call and methods of use thereof

Example embodiments of systems and methods for milling patterns for a card are provided. A chip fraud prevention system include a device including a chip. The chip may be at least partially encompassed in a chip pocket. The chip pocket may include one or more shapes. The one or more shapes may include one or more peaks and one or more valleys. One or more connections may be communicatively coupled to at least one surface of the chip. The one or more connections may be placed between at least one of the one or more peaks or one or more valleys.

Systems and methods for saw tooth milling to prevent chip fraud

Systems and methods of caller identification differentiation via machine learning techniques are disclosed. In one embodiment, an exemplary computer-implemented method may include: receiving a permission indicator identifying a permission by the user to detect calls being received by a computing device; receiving an indication of a current call being received; utilizing a trained call differentiation machine learning model to determine a likelihood that the current call is of a first call type or a second call type, where the first call type is associated with a first type of activity and the second call type is associated with a second type of activity.

Computer-based systems configured for caller identification differentiation and methods of use thereof

Growing community of inventors

Melville, NY, United States of America

Tyler Maiman