Methods and systems for personalizing contactless cards are provided. An exemplary method includes: preinstalling, by a server, an applet on the contactless card; assigning, by the server, a first unique identifier to the contactless card; pre-provisioning, by the server, a first unique derived key to the contactless card; generating, by the server a first nonce; generating, by the server, a data file containing script for updating the contactless card and further containing a message authentication code (MAC); transmitting, by the server, the data file and the first nonce to the contactless card; validating, by the contactless card, the MAC based on the first unique derived key and the first nonce; and personalizing the contactless card by the preinstalled applet executing the script.
Systems and methods for generating synthetic data are disclosed. A system may include one or more memory devices storing instructions and one or more processors configured to execute the instructions. The instructions may instruct the system to categorize consumer data based on a set of characteristics. The instructions may also instruct the system to receive a first request to generate a first synthetic dataset. The first request may specify a first requirement for at least one of the characteristics. The instructions may further instruct the system to retrieve, from the consumer data, a first subset of the consumer data satisfying the first requirement. The instructions may also instruct the system to provide the first subset of consumer data as input to a data model to generate the first synthetic dataset, and to provide the first synthetic dataset as training data to a machine-learning system.
A data management method may include receiving a use case, and receiving a configuration specific to the use case associated with an item type having a plurality of attributes. The configuration may define a target data store, a subset of the plurality of attributes associated with the use case, and a subset of optimal data sources from a plurality of available data sources each configured to provide one or more attributes within the subset of the plurality of attributes. The data management method may further include, based on the configuration, accessing, from the subset of optimal data sources, values corresponding to the subset of the plurality of attributes, and storing the values in the target data store.
Systems and methods of fraud prevention are provided. An exemplary system comprises a server including a memory and a processor. The server is configured to receive a transaction message of a contactless card, the transaction message including an Europay, Mastercard, and Visa (EMV) identifier, receive a unique card identifier and a cryptographic payload of the contactless card, and incorporate the unique card identifier and the cryptographic payload into the transaction message to generate an enhanced transaction message. The server is further configured to determine whether the EMV identifier pairs with the unique card identifier, and determine whether to transmit the enhanced transaction message to a transaction processing device for processing the enhanced transaction message.
G06Q 20/34 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des cartes, p. ex. cartes à puces ou cartes magnétiques
G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
In some implementations, a monitoring system may receive, from a plurality of monitoring instances deployed across a plurality of individual accounts, a set of events associated with the cloud environment. The monitoring system may filter the set of events to generate a filtered set of events and may add the filtered set of events to a queue service. The monitoring system may determine, for each event in the filtered set of events, a corresponding impact. Accordingly, the monitoring system may transmit, for each corresponding impact, a notification to a set of users associated with the corresponding impact.
In some implementations, a user device may transmit, to a routing system, a request that indicates an amount. The user device may additionally transmit, to the routing system, a current location associated with the user device and account information associated with a user of the user device. The user device may receive, from the routing system, an indication of at least one relevant front-end device, based on the amount, a time associated with the request, the current location, and the account information. The user device may output a representation of the at least one relevant front-end device.
Example embodiments relate to performing activation techniques for contactless cards. For example, embodiments may include performing a near-field communication (NFC) exchange with a contactless card, processing a message comprising data to activate the contactless card, communicating the data to a server to activate the contactless card; and receiving a response from the server, the response to indicate whether the contactless card is successfully activated or not successfully activated.
G06Q 20/34 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des cartes, p. ex. cartes à puces ou cartes magnétiques
G06Q 20/10 - Architectures de paiement spécialement adaptées aux systèmes de transfert électronique de fondsArchitectures de paiement spécialement adaptées aux systèmes de banque à domicile
G06Q 20/20 - Systèmes de réseaux présents sur les points de vente
G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
8.
REGISTERING NEW CONTACTLESS CARDS TO EXISTING ACCOUNT
Methods, techniques, and embodiments are generally directed to systems for receiving a request from an authenticated computing application to associate a contactless card with an account. The systems then authenticate that the request came from an account holder. After establishing the authenticity of the account holder, the systems determine a unique identifier for the account holder associated with the account. Finally, the systems send a second request to the authenticated computing application to write this unique identifier onto the contactless card.
G06Q 40/02 - Opérations bancaires, p. ex. calcul d'intérêts ou tenue de compte
G06Q 20/34 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des cartes, p. ex. cartes à puces ou cartes magnétiques
Systems and methods are directed to an improved fraud detection feature in implementing online transaction. The proposed solution is based on generating an enhanced transaction verification request with access-device specific data parameters and merchant-provided data. The data is then converted into an XML format and integrated into the transaction verification. The account verification server, received the enhance transaction request and executes a risk assessment model based on the provided data parameters to compute a validity risk score for the transaction request, which in term informs the verification decision and subsequent messaging content transmitted back to the merchant system. Based on the computed risk score, the verification messaging can involve a direct validation, direct rejection or a delayed verification/rejection contingent upon secondary authentication data requested and received from the user and/or the merchant. The computed value of the risk score also determines the strength factor required for the secondary authentication data.
G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
In some implementations, a development system may receive a set of computer code associated with a user. The development system may provide the set of computer code to a machine learning model to receive a set of quality indicators associated with the set of computer code. The development system may output, to a user device, the set of quality indicators. Additionally, the development system may determine, using the set of quality indicators, a possible mentor out of a plurality of additional users. The development system may transmit a message from the development system and to a device associated with the possible mentor.
Systems and methods for a shared common microservice. In some aspects, the system may receive a domain model. The domain model may include a resource module and a service module. The system may receive, from a user device, a first request. The first request may include a first set of resources and a first task to be completed. The system may retrieve, from the domain model, a required set of resources corresponding to the first set of resources that a first API requires access to complete the first task. Based on the required set of resources from the domain model, the system may generate a template for the first API. Based on the template, the system may generate a first endpoint for the first API. The system may deploy the first endpoint. The first API accesses one or more microservice functions at the execution of the first task.
A method and related system for application resilience by proactively switching data center regions based on detected failures in shared intermittent components by determining shared components of a first data center region based on monitoring data associated with a set of deployed applications with or without requiring the occurrence of active traffic. The method includes determining an intermittent component of the shared components based on the monitoring data and an activity gap threshold. The method further includes probing the intermittent component, obtaining a set of responses from the intermittent component, and determining a combined resource value based on performance data associated with the set of deployed applications. The method further includes, in response to a determination that the set of responses satisfies a set of region-switching criteria, provisioning a second set of infrastructure resources of a second data center region based on the combined resource value.
In some implementations, a recovery system may detect a trigger to generate a system resource document for a target system. The recovery system may communicate, based on detecting the trigger to generate the system resource document, with a set of resources of the target system to perform an auto-discovery procedure. The recovery system may generate the system resource document identifying the set of resources of the target system. The recovery system may store the system resource document in a recovery archive. The recovery system may detect an outage event. The recovery system may obtain, based on detecting the outage event, the system resource document from the recovery archive. The recovery system may fail over the set of resources of the target system to a new target system. The recovery system may transmit a set of notifications associated with the new target system.
G06F 11/14 - Détection ou correction d'erreur dans les données par redondance dans les opérations, p. ex. en utilisant différentes séquences d'opérations aboutissant au même résultat
14.
SYSTEMS AND METHODS FOR ADJUSTING ACCESS PARAMETERS OF AUTHENTICATION TOKENS
Methods and systems for adjusting access parameters for authentication tokens. In some aspects, the system receives an authorization request associated with a first authorization token for a user account and determines that access parameters for the first authorization token do not include resources associated with the authorization request. The system processes, using a real time model, the authorization request and a first set of features to generate a first degree of confidence indicating a likelihood of adjusting access parameters. Using the first degree of confidence, the system determines whether to grant the authorization request and transmit a response. The system then processes a second set of features using a comprehensive model to determine whether to adjust the access parameters for the first authorization token. The system may adjust the access parameters for the first authorization token and generate a notification to a user associated with the user account.
Systems and methods of the present disclosure enable improved cryptographic security using an integrated circuit of a short range wireless card. The integrated circuit receives, via a short range wireless signal, from a user device, a bearer token request including an identifier that identifies a user, the user device or both. The integrated circuit determines a cryptographic key and uses a time keeping circuit to generate a time value indicative of a window of time for which a bearer token is to be valid. The integrated circuit uses a cryptographic hash to produce the bearer token based on: the identifier, the time value and the cryptographic key. The integrated circuit transmits, via a return short range wireless signal to the user device, the bearer token to enable authentication of the user upon the bearer token being equivalent to a comparison token within the time window.
H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
16.
ENABLING PERMISSIBLE INTERACTIONS WITH APPLICATIONS SHARED DURING AUDIO-VISUAL COMMUNICATION SESSIONS
Methods and systems are described herein for enabling permissible interactions with applications shared during communication sessions. The system may detect, by a communication application on a first device during a communication session, activation of a sharing function on a second device. The sharing function may enable sharing of a shared application via the communication application. The system may determine one or more permissible interactions for the first device to perform with one or more portions of the shared application. Based on user input received by the first device, the system may detect an interaction with a portion of the shared application. The system may determine whether the interaction is a permissible interaction for the shared application. In response to determining that the interaction is permissible, the system may perform an action on the portion of the shared application on the first device.
H04L 65/401 - Prise en charge des services ou des applications dans laquelle les services impliquent une session principale en temps réel et une ou plusieurs sessions parallèles additionnelles en temps réel ou sensibles au temps, p. ex. accès partagé à un tableau blanc ou mise en place d’une sous-conférence
H04L 65/403 - Dispositions pour la communication multipartite, p. ex. pour les conférences
17.
SYSTEMS FOR TRANSITIONING TELEPHONY-BASED AND IN-PERSON SERVICING INTERACTIONS TO AND FROM AN ARTIFICIAL INTELLIGENCE (AI) CHAT SESSION
A system for transitioning a telephony or in-person servicing to an artificial intelligence (AI) chat session is disclosed. The system may receive a phone call from a user device associated with a user, and transmit a voice request for personally identifiable information associated with the user. The system may also receive and authenticate the requested personally identifiable information and, in response, generate an authentication token. The system may further receive a servicing intent from the user device, and generate a corresponding servicing intent token. Also, the system may generate an API call to an AI chatbot model, transmit the authentication token and the servicing intent token to the AI chatbot model, and map the servicing intent token to a stored servicing intent. Finally, the system may transmit a message to the user device via the AI chat session.
H04L 51/02 - Messagerie d'utilisateur à utilisateur dans des réseaux à commutation de paquets, transmise selon des protocoles de stockage et de retransmission ou en temps réel, p. ex. courriel en utilisant des réactions automatiques ou la délégation par l’utilisateur, p. ex. des réponses automatiques ou des messages générés par un agent conversationnel
H04M 3/523 - Dispositions centralisées de réponse aux appels demandant l'intervention d'un opérateur avec répartition ou mise en file d'attente des appels
H04M 3/58 - Dispositions pour transférer les appels reçus d'un abonné à un autreDispositions pour permettre des conversations intérimaires entre le demandeur ou le demandé et une tierce personne
H04W 4/14 - Services d'envoi de messages courts, p. ex. SMS ou données peu structurées de services supplémentaires [USSD]
H04W 4/16 - Services supplémentaires liés aux communications, p. ex. transfert ou mise en attente d'appels
18.
ASSESSING STATUS CHANGES CAUSED BY MODIFICATIONS TO SOFTWARE APPLICATIONS
Methods and systems are described herein for assessing status changes caused by modifications to software applications. The system may identify a status associated with an application. For example, the status may be based on a first length of time that the application is inactive based on a current number of vulnerabilities. The system may detect a modification of a component of the application and may determine, using a machine learning model, a predicted number of vulnerabilities introduced into the application by the modification. The system may identify an updated status associated with the application based on the predicted number of vulnerabilities. The system may determine a difference between the status and the updated status and based on the difference, may cause the modification to cease.
G06F 21/57 - Certification ou préservation de plates-formes informatiques fiables, p. ex. démarrages ou arrêts sécurisés, suivis de version, contrôles de logiciel système, mises à jour sécurisées ou évaluation de vulnérabilité
In some implementations, a multimedia host may stream multimedia content to a user device, where a current timestamp associated with the multimedia content is tracked. The multimedia host may receive, from the user device, an indication of an interaction, where the interaction is associated with the current timestamp and a portion of a pixel space of the multimedia content. The multimedia host may receive, from the user device, text provided by a user of the user device and may provide the text to a machine learning model to receive an indication of a proposed change to the multimedia content. The multimedia host may transmit, to a ticket system, a command to open a ticket including the text and the proposed change.
G06F 3/0487 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] utilisant des caractéristiques spécifiques fournies par le périphérique d’entrée, p. ex. des fonctions commandées par la rotation d’une souris à deux capteurs, ou par la nature du périphérique d’entrée, p. ex. des gestes en fonction de la pression exercée enregistrée par une tablette numérique
G06F 40/40 - Traitement ou traduction du langage naturel
G09B 5/06 - Matériel à but éducatif à commande électrique avec présentation à la fois visuelle et sonore du sujet à étudier
20.
USING MACHINE LEARNING TO DETERMINE DATA QUALITY RULES
In some implementations, an analysis system may receive, from at least one data source, a set of structured data. The analysis system may provide the set of structured data to a machine learning model to receive an indication of a proposed rule. The analysis system may transmit, to an administrator device, a prompt indicating the proposed rule. The analysis system may receive, from the administrator device, an acceptance of the proposed rule in response to the prompt. Accordingly, the analysis system may apply the proposed rule to the set of structured data. The analysis system may further transmit, to the administrator device, an indication of an outcome of applying the proposed rule to the set of structured data.
Systems and methods of validating transactions are provided. An exemplary system includes a server including a memory and a processor. The server is configured to: receive from an entity a transaction validation request of validating a transaction; validate the transaction; generate a logging record of the transaction validation; cryptographically hash the logging record to create a hashed logging record; digitally sign the hashed logging record using a key to create a signed hashed logging record; and transmit the signed hashed logging record to a computer device.
G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
G06Q 20/38 - Protocoles de paiementArchitectures, schémas ou protocoles de paiement leurs détails
22.
SYSTEMS AND METHODS FOR IDENTIFICATION-BASED PAYMENT INSTRUMENTS
Systems and methods of identification-based payment instruments is provided. An exemplary system includes a computer server including a memory and a processor. The server is configured to receive at least one digital certificate as an universal identification of a user, associate the at least one digital certificate with at least one payment instrument of the user, generate a public key and a private key pairing with the public key, the public key and the private key being associated with the at least one payment instrument, incorporate the public key into the digital certificate, and transmit the private key to a user device associated with the user.
H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
23.
SYSTEMS AND METHODS FOR UPDATING TEXTUAL ITEM DESCRIPTIONS USING AN EMBEDDING SPACE
Systems and methods are disclosed herein for generating updated descriptions of items based on analyzing candidate embeddings of semantic representations of item descriptions. The system may obtain a text file describing an item. The system may provide the text file to a generative language model to generate semantic representations of the text file. The system may generate, based on the text file, candidate embeddings in an embedding space. The system may obtain embeddings associated with existing items. The system may determine subsets of the embeddings within a threshold distance. The system may compare the subsets. The system may determine attributes associated with a candidate embedding based on the comparison. The system may generate an updated text file based on the attributes.
Systems, methods, apparatuses, and computer-readable media for secure generation of one-time passcodes using a contactless card. In one example, an operating system (OS) of a device may receive a uniform resource locator (URL) and a cryptogram from a contactless card. The OS may launch an application associated with the URL. The application may transmit the cryptogram to an authentication server. The application may receive a decryption result from the authentication server indicating the authentication server decrypted the cryptogram. Based on the decryption result, the application may request an OTP. The processor may receive an OTP from an OTP generator. The application may receive an input value and compare the input value to a copy of the OTP. The application may determine that the comparison results in a match, and display, based on the determination that the comparison results in the match, one or more attributes of the account.
G06Q 20/32 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des dispositifs sans fil
G06Q 20/38 - Protocoles de paiementArchitectures, schémas ou protocoles de paiement leurs détails
G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
In some implementations, a device may determine whether an existing record for a file, received at a file storage location, is present in a record log. The device may generate, based on determining that the existing record for the file is not present in the record log, a record for the file in the record log. The record may identify the file and a first region. The device may determine, after generating the record, whether the record has been changed to identify a second region. The device may process the file based on determining that the record has not been changed to identify the second region.
H04L 67/06 - Protocoles spécialement adaptés au transfert de fichiers, p. ex. protocole de transfert de fichier [FTP]
G06F 16/174 - Élimination de redondances par le système de fichiers
H04L 67/1097 - Protocoles dans lesquels une application est distribuée parmi les nœuds du réseau pour le stockage distribué de données dans des réseaux, p. ex. dispositions de transport pour le système de fichiers réseau [NFS], réseaux de stockage [SAN] ou stockage en réseau [NAS]
Aspects described herein may allow for authenticating a user by generating a customized set of authentication questions based on patterns that are automatically detected and extracted from user data. The user data may include transaction data collected over a period of time. By automatically detecting user patterns that correspond to user behavior over a period of time, an authentication system may be able to generate information that is recognizable to an authentic user but difficult to guess or circumvent for any other user.
G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
G06F 18/23213 - Techniques non hiérarchiques en utilisant les statistiques ou l'optimisation des fonctions, p. ex. modélisation des fonctions de densité de probabilité avec un nombre fixe de partitions, p. ex. K-moyennes
Systems and methods for generating synthetic intercorrelated data are disclosed. For example, a system may include at least one memory storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include training a parent model by iteratively performing steps. The steps may include generating, using the parent model, first latent-space data and second latent-space data. The steps may include generating, using a first child model, first synthetic data based on the first latent-space data, and generating, using a second child model, second synthetic data based on the second latent-space data. The steps may include comparing the first synthetic data and second synthetic data to training data. The steps may include adjusting a parameter of the parent model based on the comparison or terminating training of the parent model based on the comparison
G06F 18/2413 - Techniques de classification relatives au modèle de classification, p. ex. approches paramétriques ou non paramétriques basées sur les distances des motifs d'entraînement ou de référence
The exemplary embodiments provide an improved approach to preventing exfiltration through email messages. The exemplary embodiments process outbound email messages to determine whether an outbound email message contains sensitive subject matter based on contextual information. The determination may be made based at least in part on the context reflected in the contextual information. In the exemplary embodiments, the determination of whether an outbound email message contains sensitive subject matter that should not be exfiltrated may be based at least in part on analysis performed by a trained neural network model.
Systems and methods for generating deployment databases based on preloaded data from heterogeneous sources are disclosed herein. The system may receive first structured data. The system may extract first data of a first format and second data of a second format. The system may determine that the first data has a first update rate. The system may determine that the second data has a second update rate. The system may preload the first data by retrieving a first identifier and by storing a first preloaded representation of a first parent dataset for the first data. The system may receive a first request for a deployment database. The system, based on the first request, may retrieve the first preloaded representation. The system may generate the deployment database.
In some embodiments, a request to execute, via a first user device, a secure operation with a computing system may be detected (e.g., where the first user device satisfies a proximity condition with respect to a second user device). Authentication data corresponding to a single use token may be retrieved from the second user device based on (i) the request and (ii) the proximity condition being satisfied (e.g., where the single use token corresponds to static information associated with an account used to perform secure operations). The authentication data corresponding to the single use token may be provided to the computing system. An indication that the secure operation has been authorized may be received based on a verification of the authentication data corresponding to the single use token. The secure operation with the computing system may be executed based on the indication being received.
In some implementations, a user device may transmit a request for a document. The user device may receive the document in response to the request. The document may include code and an inline content element having a source attribute. The user device may transmit, due to execution of the code, a data request relating to a user. The user device may receive, in response to the data request, user data relating to the user. The user device may insert, due to execution of the code, a resource address appended with the user data into the source attribute of the inline content element. The user device may transmit to a second host device, and as a result of inserting the resource address appended with the user data into the source attribute, an additional request for a resource that passes the user data appended to the resource address to the resource.
In some implementations, a device may receive a request to deploy a codebase of a code repository in a production environment. The request may indicate a first version identifier associated with the codebase and a second version identifier associated with a previous codebase that is updated by the codebase. The device may retrieve, from an entry associated with the code repository in a data structure, a third version identifier associated with a current codebase most-recently successfully deployed in the production environment. The device may compare the second version identifier with the third version identifier. The second version identifier matching the third version identifier may indicate that the previous codebase is the current codebase most-recently successfully deployed in the production environment. The device may cause, responsive to the second version identifier matching the third version identifier, deployment of the codebase in the production environment.
In some implementations, a user device may transmit a plurality of credentials, to a streaming host, associated with a user and corresponding to a plurality of streaming services. The user device may receive, from the streaming host, instructions for a user interface (UI) indicating a suggested program based on watch histories associated with the user and including an element associated with the suggested program. The user device may output the UI and may detect an interaction with the element. The user device may transmit, to the streaming host, an indication of the interaction. The user device may receive, from the streaming host and in response to the indication of the interaction, a stream of the suggested program. The user device refrains from executing an application associated with a selected streaming service, in the plurality of streaming services, that hosts the suggested program.
H04N 21/25 - Opérations de gestion réalisées par le serveur pour faciliter la distribution de contenu ou administrer des données liées aux utilisateurs finaux ou aux dispositifs clients, p. ex. authentification des utilisateurs finaux ou des dispositifs clients ou apprentissage des préférences des utilisateurs pour recommander des films
Methods, systems, and apparatuses are described herein for automatically managing security group rules in a cloud environment by analyzing utilization of each of the security group rules based on packet logs so as to reduce attack vector possibilities. A computing device may receive a first log comprising a plurality of log entries that each indicate one or more packet flows associated with a security group attached to a cloud resource. A plurality of security group rules may be sorted in an order based on their permissiveness. The computing device may identify, for each log entry of the plurality of log entries, a corresponding security group rule of the plurality of security group rules by iteratively processing, based on traffic pattern matching characteristics and the order, the sorted plurality of security group rules to identify a least permissive security group rule. Rules tagged as unused and/or shadowed may be removed.
In some implementations, a health system may receive a documentation file associated with a software platform and may apply natural language processing to the documentation file to generate a first health indicator. The health system may receive a set of property indications associated with the software platform and may provide the set of property indications to a clustering model to receive a second health indicator. The health system may receive a log file associated with the software platform and may provide the log file to a machine learning model to receive a third health indicator. The health system may receive a set of notifications associated with failed builds, manual changes, and/or software incidents and may apply rules to the set of notifications to generate a suggested change to the software platform. The health system may output instructions for a user interface that includes the health indicators and the suggested change.
Systems and methods for generating a shared secret key for a transaction card are provided. An exemplary system can include: a transaction card including a card private key and a card public key derived from the card private key; a server including a server private key and a server public key derived from the server private key; and a user device. The user device can be configured to: open a communication field, read the card public key, transmit the card public key to the server, wherein the server generates a shared secret key from the card public key and the server private key, receive the server public key from the server, and transmit the server public key to the transaction card, wherein the card generates the same shared secret key from the server public key and the card private key.
H04L 9/30 - Clé publique, c.-à-d. l'algorithme de chiffrement étant impossible à inverser par ordinateur et les clés de chiffrement des utilisateurs n'exigeant pas le secret
37.
LABEL PROPAGATION USING CONTRASTIVE LEARNING PROJECTIONS
Some embodiments can include methods and related systems to project coarse representations of natural language interactions into fine-grained representations using contrastive learning projections. Some embodiments can maximize a first set of distances between dissimilar points and anchor points in the fine-grained representations, and minimize a second set of distances between similar points and the anchor points in the fine-grained representations. Some embodiments can then propagate labels from labeled projections to unlabeled projections based on a similarity metric.
Systems and methods of location-aware caller identification via machine learning techniques are disclosed. In one embodiment, an exemplary computer-implemented method may include: utilizing a trained call annotation machine learning model to determine one or both of an annotating condition and annotating location granularity, and associate one location of a user with one phone number of the user based at least on one or both of the annotating condition and the annotating location granularity; receiving second transactional information of one transaction associated with a first user; extracting second location information from the second transactional information of the one transaction; utilizing the trained call annotation machine learning model to automatically annotate one phone number record of one phone number of the first user, with the second location information at the annotating location granularity to form at least one user-specific location-specific annotated phone number record.
Methods and systems are disclosed herein for authenticating a user. A security device may use an object associated with a user and a device of the user to authenticate the user, for example, if the user has forgotten a password. A user may insert the object (e.g., a card, or other object) into the security device and may select an option to authenticate via a device that is trusted by both the security device and the user, rather than authenticating by entering a password at the security device.
G06F 21/35 - Authentification de l’utilisateur impliquant l’utilisation de dispositifs externes supplémentaires, p. ex. clés électroniques ou cartes à puce intelligentes communiquant sans fils
Embodiments disclosed herein generally related to a system and method for authenticating a transfer request. A computing system receives a transfer request from a client device. The computing system determines that the monetary amount specified in the transfer request exceeds a threshold. The computing system identifies an automated teller machine (ATM) based on at least location information associated with a user of the client device. The computing system prompts the user to authenticate the transfer request at the identified ATM by transferring a message to the client device to be displayed thereon. The computing system receives an authentication attempt of the user from the ATM. The computing system compares authentication information in the authentication attempt to personal identification information associated with the user. The computing system determines that the authentication information at least partially matches personal identification information associated with the user. The computing system processes the transfer request.
G06Q 20/10 - Architectures de paiement spécialement adaptées aux systèmes de transfert électronique de fondsArchitectures de paiement spécialement adaptées aux systèmes de banque à domicile
G06Q 20/32 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des dispositifs sans fil
G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
41.
DEVICES AND METHODS FOR SELECTIVE CONTACTLESS COMMUNICATION
A card having an antenna, one or processors, and memory having stored thereon a first application and a second application configured to receive an input of the card and determine a request associated with the input. The card is further configured to activate, responsive to determining that the request is consistent with a contactless EuroPay-MasterCard-Visa (EMV) data standard, the first application. The first application is configured to communicate, via near field communication (NFC), data to the communicating device via the antenna based on the EMV data standard for payment purposes. The card is further configured to activate, responsive to determining that the request is consistent with a near field communication data exchange format (NDEF) standard, the second application. The second application is configured to communicate, via NFC, data to the communicating device via the antenna based on the NDEF standard for verification/identification purposes.
G06Q 20/34 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des cartes, p. ex. cartes à puces ou cartes magnétiques
G06Q 20/32 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des dispositifs sans fil
G06Q 20/38 - Protocoles de paiementArchitectures, schémas ou protocoles de paiement leurs détails
42.
COMPUTER-BASED SYSTEMS CONFIGURED TO SELECT A MONITORED DATA SEGMENTATION AND METHODS OF USE THEREOF
In some embodiments, the present disclosure provides an exemplary system and method that may include steps of identifying a device capable of processing a data stream; calculating a plurality of hash keys for a plurality of monitored segmentations associated with the device capable of the data stream; generating an increment data counter that corresponds to each hash key in a plurality of counting structures; calculating an anomaly score associated for the plurality of monitored segmentations; selecting a monitored segmentation based on the anomaly score; determining that a selected monitored segmentation meets a predetermined threshold associated with the anomaly score; and automatically marking the device capable of the data stream with a pre-generated label.
H04L 9/06 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité l'appareil de chiffrement utilisant des registres à décalage ou des mémoires pour le codage par blocs, p. ex. système DES
H04L 9/00 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité
In some implementations, a controller may receive a first unstash command, associated with a first node and a first workspace, to unstash a first set of files. The controller may perform an unstash operation for the first set of files, in response to the first unstash command, based on a first stash variable lacking an indicator associated with the first set of files and a global stash variable including the indicator associated with the first set of files. The controller may receive a second unstash command, associated with a second node and a second workspace, to unstash a second set of files. The controller may refrain from performing an unstash operation based on a second stash variable including an indicator associated with the second set of files.
G06F 16/176 - Support d’accès partagé aux fichiersSupport de partage de fichiers
44.
SYSTEMS AND METHODS FOR VALIDATING NON-HOMOGENEOUS ASSETS THAT COMPRISE NON-STANDARDIZED DATA DESCRIPTIONS USING DYNAMICALLY GENERATED VALIDATION RULES
Systems and methods use dynamically generated validation rules. These validation rules comprise a first validation rule portion that is generated using a standardized validation process (e.g., corresponding to a standardized schema) and a second validation rule portion that is generated using a validation process selected based on a non-standardized schema that is specific to a respective asset type of the plurality of respective asset types.
Methods and systems for routing micro front ends on a web page using query parameters to perform deep linking. In some aspects, the system determines a set of web applications to be included in a micro front end to generate for display information for a web page. For each web application, the system determines a set of components and uses a query parameter to associate the web application with a component via a deep link. In response to detecting a first user action, the system determines a requested update to a first web application in the set of web applications and identifies a substitute component for the first web application. The system adjusts a query parameter associated with the first web application to correspond to a deep link for the substitute component and updates the content of the web page with the adjusted query parameter.
Systems and methods are described herein for leveraging offline virtual authentication tokens during periods of inaccessible network connectivity. In some aspects, after determining the system is offline, systems and methods request an authentication code from a user and determine whether the authentication code received from the user is valid. In response to determining that the authentication code is valid, systems and methods select an offline virtual authentication token from the plurality of stored offline virtual authentication tokens associated with the user account.
H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
47.
INTERACTIVE CALLING ASSISTANCE SYSTEM WITH ARTIFICIAL INTELLIGENCE
In some implementations, a system may receive a request for a calling session associated with a topic. The system may establish the calling session between a user device with a first user interface and a client device with a second user interface, wherein the second user interface is provide with first assistance information associated with the topic. The system may monitor multimedia communications associated with the calling session. The system may detect a request for protected information. The system may determine that the protected information satisfies a threshold security level. The system may transmit an instruction to cause a user interface element to be provided for display via the first user interface based on determining that the protected information satisfies the threshold security level. The system may receive the protected information via a message indicating an interaction with the user interface element.
H04M 3/42 - Systèmes fournissant des fonctions ou des services particuliers aux abonnés
G10L 15/26 - Systèmes de synthèse de texte à partir de la parole
G10L 25/63 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation pour estimer un état émotionnel
H04M 3/22 - Dispositions de supervision, de contrôle ou de test
48.
SYSTEMS AND METHODS FOR TRANSLATING DIFFERENT VULNERABILITY SCAN RESULTS INTO A STANDARDIZED FORMAT AND FOR CERTIFYING TARGET RESOURCES AGAINST DETECTION OF VULNERABILITIES
A computer-implemented method includes: receiving a request to scan a resource for detection of a vulnerability, the resource comprising one or more of: a component of an application, a code-base of the application, or a third-party library associated with the application; determining one or more matching vulnerability scanning operators among a plurality of vulnerability scanning operators based at least in part on one or more properties associated with the request; transmitting the request to the one or more matching vulnerability scanning operators, the one or more matching vulnerability scanning operators having access to the resource; receiving an initial result associated with the request from the one or more matching vulnerability scanning operators; obtaining a predetermined format for the initial result; generating a translated result by modifying the initial result based on the predetermined format; and transmitting the translated result to a source of the request.
G06F 21/57 - Certification ou préservation de plates-formes informatiques fiables, p. ex. démarrages ou arrêts sécurisés, suivis de version, contrôles de logiciel système, mises à jour sécurisées ou évaluation de vulnérabilité
In some embodiments, a network operation may be authenticated via a dynamic selection of an access token. In some embodiments, use of a software application, configured to store a set of access tokens, in connection with processing a network operation may be detected. A risk value associated with each access token of the set of access tokens may be received in response to providing the network operation to a set of entities associated with the set of access tokens. Based on a determination, for each access token of the set of access tokens, whether the risk value associated with the access token satisfies a threshold risk value, the network operation may be authenticated using a selected access token associated with a first risk value that satisfies the threshold risk value.
Various embodiments are directed to securely verifying an identity of a user who is requesting to add or link a financial instrument to a third-party digital wallet using one-tap contactless card authentication. The financial instrument may be added or linked to the third-party wallet in at least two scenarios: pull provisioning and push provisioning. In either provisioning scenarios, the user may be required to authenticate the financial instrument being added or linked by successfully verifying the identity of the user via the one-tap contactless card authentication at a banking application associated with the financial instrument.
G06Q 20/32 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des dispositifs sans fil
G06Q 20/34 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des cartes, p. ex. cartes à puces ou cartes magnétiques
G06Q 20/36 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des portefeuilles électroniques ou coffres-forts électroniques
G06Q 20/38 - Protocoles de paiementArchitectures, schémas ou protocoles de paiement leurs détails
G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
A method for query optimization may include capturing a proposed database query input into a user interface. The method may further include providing the proposed database query to a machine-learning model. The machine-learning model may have been trained, using one or more gathered and/or simulated sets of query execution overhead data and one or more gathered and/or simulated sets of database queries, to determine a potential execution overhead of a database query and output a query execution score. The method may further include outputting, by the machine-learning model, the query execution score based on the proposed database query. The method may further include determining that the query execution score exceeds a query execution score threshold. The method may further include triggering a corrective action based on the query execution score exceeding the query execution score threshold.
An automated teller machine (ATM) has a display and a wireless communication interface. The ATM may detect a proximity of a mobile computing device and exhibit on its display an indication of the proximity of mobile computing device to the ATM. The ATM may also be configured to detect when the mobile computing device and the ATM have established a wireless communication connection and display a visual cue on the display that the wireless connection has been established. The ATM is configured to synchronize the display of the ATM with a display of the mobile computing device. The displays may be synched temporally and positionally and may display the same or related content, such as an image or animation at the same time.
G06Q 20/32 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des dispositifs sans fil
G06F 3/14 - Sortie numérique vers un dispositif de visualisation
G07F 19/00 - Systèmes bancaires completsDispositions à déclenchement par carte codée adaptées pour délivrer ou recevoir des espèces ou analogues et adresser de telles transactions à des comptes existants, p. ex. guichets automatiques
A system and method are described that enables mobile devices (e.g. including but not limited to a mobile phone or the like), to intercept and respond to contactless card authentication requests, allowing mobile devices to be used in place of contactless cards. Enabling mobile phone devices to emulate contactless cards decreases issues related to lost or damaged cards, enabling a single device to be used to provide tokens related to multiple different contactless cards, and leverages functionality of the mobile device to provide dual-factor authentication.
H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
G06Q 20/20 - Systèmes de réseaux présents sur les points de vente
G06Q 20/32 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des dispositifs sans fil
G06Q 20/34 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des cartes, p. ex. cartes à puces ou cartes magnétiques
G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
A device may capture a plurality of preview frames of a document, and for each preview frame of the plurality of preview frames, process the preview frame to identify an object in the preview frame. Processing the preview frame may include converting the preview frame into a grayscale image, generating a blurred image based on the grayscale image, detecting a plurality of edges in the blurred image, defining at least one bounding rectangle based on the plurality of edges, and determining an outline of the object based on the at least one bounding rectangle. The device may determine whether a value of an image parameter, associated with the one or more preview frames, satisfies a threshold, and provide feedback to a user of the device, or automatically capture an image of the document, based on determining whether the value of the image parameter satisfies the threshold.
G06V 10/98 - Détection ou correction d’erreurs, p. ex. en effectuant une deuxième exploration du motif ou par intervention humaineÉvaluation de la qualité des motifs acquis
G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p. ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersectionsAnalyse de connectivité, p. ex. de composantes connectées
G06V 30/414 - Extraction de la structure géométrique, p. ex. arborescenceDécoupage en blocs, p. ex. boîtes englobantes pour les éléments graphiques ou textuels
55.
SYSTEMS AND METHODS FOR AUTOMATIC MANAGEMENT OF MULTIPLE ACCOUNTS
Systems and methods for automatic management of multiple accounts are provided. Example embodiments of the present disclosure provide a server configured to authenticate a user, detect the user is visiting an online website associated with a merchant, create a user account with the merchant for the user, where the user account including a user name and a password. The server can be further configured to retrieve personal identifiable information (PII) of the user from a financial account associated with the user, where the PII including information of a payment card of the user, provision the PII of the user to the merchant; and store the password.
A computer implemented method, system and non-transitory computer-readable device for a remote deposit environment activating, on a client device, a financial application, wherein the financial application is configured to instantiate a customer interface (UI) on the client device. Upon receiving a customer request, based on interactions with the UI, the method implements an electronic deposit of a financial instrument by activating a camera on the client device to generate a live stream of image data of a field of view of at least one camera, wherein the live stream includes imagery of at least a portion of the financial instrument. The method continues by blending common pixels from the imagery to form a blended image, and extracting by an optical character recognition program one or more data fields from the blended image of the financial instrument.
G06Q 20/10 - Architectures de paiement spécialement adaptées aux systèmes de transfert électronique de fondsArchitectures de paiement spécialement adaptées aux systèmes de banque à domicile
G06V 30/18 - Extraction d’éléments ou de caractéristiques de l’image
57.
COMPUTER-BASED SYSTEMS AND PLATFORMS FOR PARTICIPANT ENGAGEMENT AND CONTINUITY DURING LIVE EVENTS AND METHODS OF USE THEREOF
A method includes receiving event data from a first computing device of a first user of a plurality of users; transmitting the event data to an application executing on a plurality of second computing devices of a plurality of second users; receiving an audio data from an audio device at the live event; generating in real time a transcription data of the audio data; instructing the application to display the event data and the transcription data on the user interface; receiving user-specific data related to at least one of the event data or the transcription data from the plurality of second users; where the user-specific data is provided to the application via the user interface; generating a combined software container including a schema that allows to embed the user-specific data into the transcription data; instructing the application to display the combined software container on the user interface.
G10L 15/06 - Création de gabarits de référenceEntraînement des systèmes de reconnaissance de la parole, p. ex. adaptation aux caractéristiques de la voix du locuteur
G10L 15/26 - Systèmes de synthèse de texte à partir de la parole
G10L 15/30 - Reconnaissance distribuée, p. ex. dans les systèmes client-serveur, pour les applications en téléphonie mobile ou réseaux
58.
SYSTEMS AND METHODS FOR INTERCEPTING CONVERGENT DATA STREAMS
Methods and systems for intercepting convergent data streams. In some aspects, the system may, in response to receiving a first data stream including a plurality of user activities executed by a user, generate a first projected future data stream. The first projected future data stream can include potential future activities for the user. The system may process the first projected future data stream to determine a first cluster to associate with the user. Furthermore, the system may determine whether the first cluster is a type of intervention cluster requiring direction to the user for future activity. In response to determining that the first cluster is a type of intervention cluster, the system may generate a notification to the user including one or more user activities to execute to exit the first cluster. This allows the system to prevent or intercept undesired activities executed by users.
In some implementations, a system may detect a creation of content. The system may transmit a request to a generative system in response to detection of the creation of the content. The request may include the content, and may cause the generative system to generate a plurality of alternate versions of the content, where the plurality of alternate versions are in different content styles. The system may receive, from the generative system, a response that includes the plurality of alternate versions. The system may cache the plurality of alternate versions in a content delivery network using edge caching. The system may receive, from a user device of a user, an access request for a content document. The system may select, in response to the access request, an alternate version in accordance with the user's user profile. The system may transmit the content document with the alternate version included therein.
H04L 67/5682 - Politiques ou règles de mise à jour, de suppression ou de remplacement des données stockées
60.
SYSTEMS AND METHODS FOR TRANSLATING DIFFERENT VULNERABILITY SCAN RESULTS INTO A STANDARDIZED FORMAT AND FOR CERTIFYING TARGET RESOURCES AGAINST DETECTION OF VULNERABILITIES
A computer-implemented method includes: receiving a first request to certify a resource for a cloud computing environment, the resource including one or more of: a machine image, a container image, or an infrastructure component; determining one or more matching vulnerability scanning vendors among a plurality of vulnerability scanning vendors based at least in part on one or more properties associated with the first request; transmitting the first request to the one or more matching vulnerability scanning vendors, the one or more matching vulnerability scanning vendors having access to the resource; receiving a first preliminary result associated with the first request from the one or more matching vulnerability scanning vendors; performing a first evaluation of the first preliminary result based on one or more predetermined certification factors; generating a first certification result based on the first evaluation; and transmitting the first certification result to a source of the first request.
G06F 21/57 - Certification ou préservation de plates-formes informatiques fiables, p. ex. démarrages ou arrêts sécurisés, suivis de version, contrôles de logiciel système, mises à jour sécurisées ou évaluation de vulnérabilité
G06Q 30/018 - Certification d’entreprises ou de produits
61.
SYSTEMS AND TECHNIQUES FOR MAINTAINING A SYSTEM OF RECORD
Described herein are techniques a systems for maintaining a system of record for one or more contactless cards. A computing apparatus is configured to generate a first unique identifier for a contactless card associated with a user account. The apparatus is further caused to generate a message to update a database with a new database entry, the message including the first unique identifier and identity information for the user account. Next, the apparatus is caused to send the message to the database to add the new entry therein, each entry in the database including a recorded unique identifier associated with a corresponding contactless card, each contactless card being associated with one of a plurality of user accounts. The apparatus is further caused to send the first unique identifier to a personalization server to store the first unique identifier in a memory of the first contactless card.
G06Q 20/34 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des cartes, p. ex. cartes à puces ou cartes magnétiques
In some implementations, a data management system may obtain, via a data interlocutor, a set of data intended for inclusion in a database, wherein the set of data is associated with at least one data type, wherein the set of data comprises at least one data value. The data management system may generate, via the data interlocutor, a set of data entities based on the set of data and a set of security metadata associated with the set of data, wherein the set of data entities comprises a data entity associated with a data value of the at least one data value, the data entity comprising transaction authorization information associated with the data value. The data management system may output, via the data interlocutor, the set of data entities for inclusion in the database.
A device may receive a VCN generation request comprising a primary account number (PAN) and an approved URL. A device may generate a VCN based on the PAN, the VCN being associated with the approved URL. A device may receive a VCN use request from an external entity, the VCN use request comprising the VCN. A device may receive a use request URL associated with the VCN use request. A device may compare the use request URL to the approved URL. A device may provide a VCN use decision based on the comparing the use request URL to the approved URL, the VCN use decision including a VCN use authorization or a VCN use denial.
G06Q 20/34 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des cartes, p. ex. cartes à puces ou cartes magnétiques
G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
In some implementations, a data processing system may identify one or more real-time data parameters associated with a data stream. The data processing device may determine, using at least one of a machine learning model or a set of rules, and based on the real-time data parameters, a set of optimal processing parameters associated with processing the data stream. The data processing system may configure a data processing device with the set of optimal processing parameters. The data processing device may process the data stream using the data processing device and based on the set of optimal processing parameters.
In some implementations, a system may receive the data request. The system may obtain a query associated with retrieving the data responsive to the data request, wherein the query is a first output of a large language model (LLM) that is trained based on metadata associated with a plurality of datasets. The system may retrieve, based on the query, the data responsive to the data request, the data being retrieved from at least one dataset of the plurality of datasets. The system may obtain code associated with providing the visualization of the data responsive to the data request for display, wherein the code is a second output of the LLM. The system may cause, based on the code, the visualization of the data responsive to the data request to be provided for display.
Aspects described herein may allow an automated generation of an interactive multimedia content with annotations showing vehicle damage. In one method, a server may receive vehicle-specific identifying information of a vehicle. Image sensors may capture multimedia content showing aspects associated with exterior regions of the vehicle, and may send the multimedia content to the server. For each of the exterior regions of the vehicle, the server may determine, using a trained classification model, instances of damage. Furthermore, the server may generate an interactive multimedia content that shows images with annotations indicating instances of damage. The interactive multimedia content may be displayed via a user interface.
G06F 16/48 - Recherche caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement
G06F 18/2413 - Techniques de classification relatives au modèle de classification, p. ex. approches paramétriques ou non paramétriques basées sur les distances des motifs d'entraînement ou de référence
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
67.
GENERATING CONVERSATIONAL OUTPUT USING A LARGE LANGUAGE MODEL
In some implementations, a system may obtain an input associated with a user conversation. The system may provide the input and system role settings to a large language model (LLM), wherein the LLM is to be trained based at least in part on the system role settings. The system may obtain a response associated with the user conversation, the response being responsive to the input. The system may update context information associated with the user conversation, the context information being updated to include at least one of the input or the response. The system may provide the response for presentation or display to a user associated with the user conversation.
G10L 13/08 - Analyse de texte ou génération de paramètres pour la synthèse de la parole à partir de texte, p. ex. conversion graphème-phonème, génération de prosodie ou détermination de l'intonation ou de l'accent tonique
G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel
68.
SYSTEMS AND METHODS FOR REFUNDING PREFUNDED VIRTUAL CARDS
Disclosed embodiments may include a system for refunding prefunded virtual cards. The system may include determining that a card has expired and has a balance. If the card has a balance, the system may determine if all the transactions have posted. If the transactions have all posted, the system may issue a refund. If the transactions have not all posted, the system may generate an expiration period. During the expiration period, if all the transactions post, the system may issue a refund before the end of the expiration period. If a transaction does not post, the system issues a refund only after the end of the expiration period.
G06Q 20/34 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des cartes, p. ex. cartes à puces ou cartes magnétiques
G06Q 20/02 - Architectures, schémas ou protocoles de paiement impliquant un tiers neutre, p. ex. une autorité de certification, un notaire ou un tiers de confiance
G06Q 20/10 - Architectures de paiement spécialement adaptées aux systèmes de transfert électronique de fondsArchitectures de paiement spécialement adaptées aux systèmes de banque à domicile
69.
METHODS AND SYSTEMS FOR PARALLEL PROCESSING OF BATCH REQUESTS USING A PLURALITY OF EVENT-SPECIFIC PROCESSING STREAMS
Methods and systems for parallel processing of batch requests using a plurality of event-specific processing streams. For example, the system may receive a plurality of requests for batch processing at a preset time. The system may process, with a scheduler service, a first event string of a first request of the plurality of requests. The system may direct the first request to a first processing service for processing within the preset time based on the first event identifier, wherein the first processing service processes the first request with a first processing service configuration file, wherein the first processing service configuration file is specific to the first processing service.
A method for multipartite relay may include receiving, from a multipartite relay system, a multipartite relay request. The multipartite relay request may include relay data. The relay data may include a single relay amount and an allocation policy. The method may further include requesting a relay of the single relay amount. The method may further include receiving the relay of the single relay amount. The method may further include, in response to receiving the relay of the single relay amount, splitting the single relay amount into a first apportioned amount and a second apportioned amount according to the allocation policy of the multipartite relay request. The method may further include transmitting the first apportioned amount into a first recipient system of a first recipient and the second apportioned amount into a second recipient system of a second recipient.
G06Q 20/02 - Architectures, schémas ou protocoles de paiement impliquant un tiers neutre, p. ex. une autorité de certification, un notaire ou un tiers de confiance
71.
MACHINE LEARNING TECHNIQUES TO EVALUATE AND RECOMMEND ALTERNATIVE DATA SOURCES
In some implementations, a decisioning system may use a machine learning model to generate a recommended set of alternative data sources for providing information related to behavioral attributes of a user of a client device. The decisioning system may present, to the client device, an interface that indicates that the recommended set of alternative data sources. The decisioning system may receive, from the client device, a selection of one or more alternative data sources for providing information related to the behavioral attributes of the user. The decisioning system may obtain information related to the behavioral attributes of the user from the selected alternative data sources and may generate a decision associated with the application based on the information obtained from the one or more alternative data sources.
A procedure for modifying a user interface may include causing a first application on a user device to monitor an electronic session of a second application on the user device. The first application may determine a characteristic of the electronic session, query an API using the determined characteristic for a relevant single-application code, and receive a response back from the API. The first application may detect an activation of a user interface element associated with completing an interaction on the electronic session. In response to the detection, the first application may interrupt a response of the second application to the activation. During the interruption, the first application may modify the interaction, e.g., by injecting execution of the single-application code into the second application, and then cause the response of the second application to resume with the modified interaction.
Systems and methods of the present disclosure enable anomaly detection based on data lineage by using at least one processor to receive initial lineage records that record initial changes in data items at each data processor of a lineage stream. The processor(s) generates a historical distribution as a data processor baseline for a particular data processor based on each change in each data item at the particular data processor. For lineage records in a subsequent time period, the processor(s) identifies subsequent changes in data items at the particular data processor and generates a real-time dynamic distribution to represent a current data processor behavior for the particular data processor based on each change for the subsequent lineage records. The processor(s) determines a deviation between the data processor baseline and the current data processor behavior based on the historical distribution and the real-time dynamic distribution to identify a data processor anomaly.
In some implementations, a device may receive, via a feedback stream, one or more feedback instances associated with a machine learning model. The device may update a counter to obtain counter values for respective feedback instances of the one or more feedback instances based on performing atomic operations for the respective feedback instances. The device may provide, via a data stream, the counter values to a first-in-first-out (FIFO) queue to be written in an order of completion of the atomic operations. The device may store the one or more feedback instances in connection with respective counter values based on obtaining the counter values from the FIFO queue in the order of completion. The device may perform, using the one or more feedback instances, one or more training operations for the machine learning model.
Some implementations described herein relate to a system for artificial intelligence analysis of security access descriptions. The system identifies a security access description. The system determines metadata information associated with the security access description. The system determines, by processing the security access description using a first set of one or more machine learning models, a descriptive quality label associated with the security access description. The system determines, by processing the security access description using a second set of one or more machine learning models, one or more descriptive components associated with the security access description and one or more descriptive component labels that correspond to the one or more descriptive components. The system provides the metadata information, the descriptive quality label, the one or more descriptive components, and/or the one or more descriptive component labels.
In some implementations, a resource access security system may obtain a plurality of identifiers of a plurality of entities, one or more indications of a plurality of resources, and one or more indications of one or more access policies that control access to the plurality of resources by the plurality of entities. The resource access security system may determine that the one or more access policies permit access to a resource, of the plurality of resources, by a first entity of the plurality of entities, via at least a second entity of the plurality of entities. The resource access security system may perform, based at least in part on determining that the one or more access policies permit access to the resource by the first entity via at least the second entity, a security action associated with the resource.
H04L 41/22 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets comprenant des interfaces utilisateur graphiques spécialement adaptées [GUI]
77.
TECHNIQUES TO AUTOMATICALLY UPDATE PAYMENT INFORMATION IN A COMPUTE ENVIRONMENT
Various embodiments are generally directed to techniques for generating rules automatically navigate a website and perform updates of payment token information.
G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
78.
SYSTEMS AND TECHNIQUES TO PERFORM CARD FUNCTIONS IN A COMPUTER ENVIRONMENT
Disclosed herein are systems and methods to perform card functions in a computer environment. In some embodiments, a switchboard node is provided. The switchboard node receives a request to establish a validation session. The validation session is established and encrypted data from a contactless card is validated by a validator. Once the encrypted data is validated, the switchboard node requests that an issuer server completes a requested function. The issuer completes a portion of the function and then encrypts a message to a merchant indicating to the merchant that the function is complete. The encrypted message is received and decrypted by the merchant and the merchant completes the remainder of the function in communication with a user device.
G06Q 20/32 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des dispositifs sans fil
G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
An automated method is provided for validating an action based on beacon source proximity to a user device. A user data processing device receives from a remote action validation server an action validation request. The request includes identification of an authentication device comprising a beacon transmitter and identification of a proposed action associated with the authentication device. The user data processing device determines whether the authentication device is within beacon signal reception range of the user data processing device and transmits an action validation response to the remote action validation processing system.
H04W 12/63 - Sécurité dépendant du contexte dépendant de la localisationSécurité dépendant du contexte dépendant de la proximité
H04W 4/02 - Services utilisant des informations de localisation
H04W 4/80 - Services utilisant la communication de courte portée, p. ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
Aspects described herein may relate to methods, systems, and apparatuses for labeling data in connection with synthetic data generation. The data labeling may begin with a manual process where a user provides labels for data. Based on the labels provided by the user, modified data may be generated and may include one or more encodings associated with the labels provided by the user. A machine-learning model may be trained to predict labels based on the modified data samples. Accuracy of the model may be determined based on comparing the predicted labels to further labels provided by the user and/or by allowing the user to indicate whether predicted labels are correct or incorrect. Once the model is determined to be accurate, the predicted labels may be used as a basis for generating synthetic data.
Systems, apparatuses, and methods for verifying physical presence of a mobile device as part of an electronic transaction. Tags may be generated and displayed on one or more display devices. Those tags, which may be time-limited, may be read by a mobile device to verify physical presence of the mobile device as a prerequisite to initiating, continuing with, or completing an electronic transaction, and/or as a decision point in how the electronic transaction is to be conducted.
G06Q 20/32 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des dispositifs sans fil
G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p. ex. forme, nature, code
82.
COMPUTER-BASED SYSTEMS CONFIGURED TO PRE-TRAIN LANGUAGE MODELS FOR ENTITY RESOLUTION AND METHODS OF USE THEREOF
In some embodiments, the present disclosure provides an exemplary method that may include steps of receiving a dataset of entity records, identifying, a candidate entity record of the plurality of entity records, utilizing a set of predefined rules to generate a first augmented record, and a second augmented record, utilizing, at least one contrastive loss optimization functions to train parameters of an unsupervised self-contrastive machine learning language model to distinguish between similar entity records representing a same entity and dissimilar entity records.
G06F 16/215 - Amélioration de la qualité des donnéesNettoyage des données, p. ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
G06F 16/22 - IndexationStructures de données à cet effetStructures de stockage
83.
SELECTIVE DATA STORAGE BASED ON FUTURE EVENT PREDICTION
A method and related system for storing data based on predictions includes obtaining, from a client device, a first set of update data and a time-related prediction generated by a client-side version of a machine learning model. The method further includes determining that the time-related prediction is associated with a first data store of a plurality of data stores comprising the first data store and a second data store. The method further includes updating a record in the first data store based on the first set of update data in response to a determination that the time-related prediction is associated with the first data store. The method further includes updating the record in the first data store based on a second set of update data obtained after obtaining the first set of update data.
In some implementations, a device may obtain a data set that indicates scores for first terms based on association scores between the first terms and second terms. The association scores may be based on occurrences of the first terms in electronic documents that provide transcripts relating to telecommunication interactions, and occurrences of the second terms in electronic records that provide summaries relating to the telecommunication interactions. The device may process an electronic document, that provides a transcript relating to a new telecommunication interaction involving an agent device and a user device, to extract candidate key phrases from the transcript. The device may determine a relevance score for each candidate key phrase based on the score(s), of the data set, associated with the first term(s) in the candidate key phrase. The device may generate tag(s) for the new telecommunication interaction based candidate key phrase(s) associated with highest relevance score(s).
In some implementations, a device may obtain first information of a first document. The device may obtain second information of a second document. The device may determine, based on the first information, one or more base documents associated with modifying the first document to indicate the second document. The device may detect, based on a comparison of the first information to the second information, one or more perfection targets associated with modifying the first document to indicate the second document. The device may determine, based on the first information and the second information, one or more perfection documents for the one or more perfection targets, wherein the one or more perfection documents are provided by a first entity identified using the entity database. The device may provide an indication of the one or more base documents and the one or more perfection documents.
Methods, systems, and apparatuses for optimizing the configuration of virtual warehouses for execution of queries on one or more data warehouses are described herein. A plurality of different events associated with a data sharing platform may be logged. The data sharing platform may enable users to access one or more databases managed by the data sharing platform. The data sharing platform may be configured to provide access to the data stored by the data sharing platform via one or more of a plurality of virtual warehouses. A testing database may be generated. An optimized virtual warehouse configuration may be predicted for a first virtual warehouse by selecting a plurality of different warehouse configurations for the first virtual warehouse, measuring performance parameters of each of the plurality of different warehouse configurations by emulating, and selecting the optimized virtual warehouse configuration based on the performance parameters.
An automated teller machine (ATM) may include an input component and one or more processors. The input component may be configured to detect multi-factor input associated with an account. The multi-factor input may include at least two of: a sequence of characters input via the input component, a force with which at least one character, of the sequence of characters, is input via the input component, a length of time over which at least one character, of the sequence of characters, is input via the input component, or a combination of at least two characters, of the sequence of characters, that are input concurrently via the input component. The ATM may receive the multi-factor input, validate the multi-factor input in association with the account, and selectively permit or deny access to one or more actions associated with the account based on validating the multi-factor input.
G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
G06F 3/0488 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] utilisant des caractéristiques spécifiques fournies par le périphérique d’entrée, p. ex. des fonctions commandées par la rotation d’une souris à deux capteurs, ou par la nature du périphérique d’entrée, p. ex. des gestes en fonction de la pression exercée enregistrée par une tablette numérique utilisant un écran tactile ou une tablette numérique, p. ex. entrée de commandes par des tracés gestuels
G06F 3/04883 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] utilisant des caractéristiques spécifiques fournies par le périphérique d’entrée, p. ex. des fonctions commandées par la rotation d’une souris à deux capteurs, ou par la nature du périphérique d’entrée, p. ex. des gestes en fonction de la pression exercée enregistrée par une tablette numérique utilisant un écran tactile ou une tablette numérique, p. ex. entrée de commandes par des tracés gestuels pour l’entrée de données par calligraphie, p. ex. sous forme de gestes ou de texte
G06F 3/04886 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] utilisant des caractéristiques spécifiques fournies par le périphérique d’entrée, p. ex. des fonctions commandées par la rotation d’une souris à deux capteurs, ou par la nature du périphérique d’entrée, p. ex. des gestes en fonction de la pression exercée enregistrée par une tablette numérique utilisant un écran tactile ou une tablette numérique, p. ex. entrée de commandes par des tracés gestuels par partition en zones à commande indépendante de la surface d’affichage de l’écran tactile ou de la tablette numérique, p. ex. claviers virtuels ou menus
G06F 21/40 - Authentification de l’utilisateur sous réserve d’un quorum, c.-à-d. avec l’intervention nécessaire d’au moins deux responsables de la sécurité
G07F 7/10 - Mécanismes actionnés par des objets autres que des pièces de monnaie pour déclencher ou actionner des appareils de vente, de location, de distribution de pièces de monnaie ou de papier-monnaie, ou de remboursement par carte d'identité codée ou carte de crédit codée utilisée simultanément avec un signal codé
G07F 19/00 - Systèmes bancaires completsDispositions à déclenchement par carte codée adaptées pour délivrer ou recevoir des espèces ou analogues et adresser de telles transactions à des comptes existants, p. ex. guichets automatiques
88.
METHODS AND SYSTEMS FOR LINKING MOBILE APPLICATIONS TO MULTI-ACCESS POINT PROVIDERS USING AN INTERMEDIARY DATABASE
Methods and systems describe linking mobile applications to website providers using an intermediary database that is populated based on mobile application metadata in order to provide secure communication of user data encrypted specifically for given website providers. The methods and systems accomplish this by receiving, at an intermediary database, a first communication from a background application implemented on a mobile device, wherein the first communication comprises a first access point address and is generated based on a request, by a first access point, for first user information for use by a first provider, wherein the first provider provides the first access point. However, as opposed to simply generating a random alternative content for the first communication, the system performs an additional step to ensure that the alternative content is specific to the provider and may be used across all access points for the provider.
Embodiments disclosed herein generally relate to a system and method for initiating an interactive chat via HTTP request. A web server of an organization computing system receives the HTTP request from a web client executing on a remote client. The HTTP request is triggered by a selection of a dialogue request embedded in an electronic mail message. The web server transmits an API call to a back-end computing system of the organization computing system based on information included in the HTTP request. The back-end computing system parses the API call to identify a user identifier corresponding to a user of the remote client device and a request identifier corresponding to the selected dialogue request embedded in the electronic mail message. The back-end computing system initiates the interactive chat via a text-based communication channel. The back-end computing system generates and transmits an electronic message comprising a response to the dialogue request.
H04L 51/02 - Messagerie d'utilisateur à utilisateur dans des réseaux à commutation de paquets, transmise selon des protocoles de stockage et de retransmission ou en temps réel, p. ex. courriel en utilisant des réactions automatiques ou la délégation par l’utilisateur, p. ex. des réponses automatiques ou des messages générés par un agent conversationnel
H04L 61/4511 - Répertoires de réseauCorrespondance nom-adresse en utilisant des répertoires normalisésRépertoires de réseauCorrespondance nom-adresse en utilisant des protocoles normalisés d'accès aux répertoires en utilisant le système de noms de domaine [DNS]
H04L 67/02 - Protocoles basés sur la technologie du Web, p. ex. protocole de transfert hypertexte [HTTP]
A software module, executed locally on a user device, may monitor a plurality of user interactions with one or more interfaces. The plurality of user interactions may be exclusive of item level data of the one or more interfaces. The plurality of user interactions may be provided to a machine-learning model. The machine-learning model may have been trained to identify user interest behavior patterns and output a user interest score. The machine-learning model may output the user interest score based on the plurality of user interactions. It may be determined that the user interest score exceeds a user interest score threshold. A capturing of the item level data of the one or more interfaces may be triggered based on the user interest score exceeding the user interest score threshold. The item level data of the one or more interfaces may be stored locally on the user device.
A method of transmitting user guidance may include receiving captured electronic device location data. The method may include providing the electronic device location data and a plurality of account data of the unique user to a machine-learning model. The machine-learning model may be trained to identify location patterns within the electronic device location data and the plurality of account data of the unique user and output a user current location and a user base location. The method may further include determining a user target location using the user current location and the user base location. The method may further include comparing the user target location to entity target criteria to determine if the user target location satisfies the entity target criteria. The method may further include transmitting the user guidance to the electronic device associated with the unique user based on the user target location satisfying the entity target criteria.
H04W 64/00 - Localisation d'utilisateurs ou de terminaux pour la gestion du réseau, p. ex. gestion de la mobilité
G01S 5/02 - Localisation par coordination de plusieurs déterminations de direction ou de ligne de positionLocalisation par coordination de plusieurs déterminations de distance utilisant les ondes radioélectriques
Disclosed are methods and systems for identifying on-line reductions. For instance, a user interaction may be monitored to detect a first on-line platform being launched, and a user input may be received associated with the first on-line platform. An item associated with the first on-line platform, and one or more potential reductions associated with the item are automatically identified. Responsive to the identification of the one or more potential reductions, an electronic application is displayed including an indication of the one or more potential reductions at a display of the user input device, the electronic application operating in conjunction with the first on-line platform and including a user-selectable link that updates the first on-line platform to display the one or more potential reductions for the item on the first platform, or causes display of a second on-line platform to display the one or more potential reductions.
An architecture pattern and tools may be determined for an application. For instance, conversation data between a user and a virtual assistant associated with a use case for an application may be received from a user device, and a plurality of functions to serve the use case may be identified based on the conversation data. An architecture pattern may be determined for the application based on the plurality of functions, where the architecture pattern may indicate a plurality of tool types for performing the plurality of functions. For each tool type of the plurality of tool types, a particular tool may be determined, from a plurality of tools associated with the respective tool type, to perform a corresponding function from the plurality of functions based on the conversation data. The architecture pattern and the particular tool determined for each tool type may be provided to the user device for display.
G06F 30/13 - Conception architecturale, p. ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
95.
COMPUTER-BASED SYSTEMS FOR DETERMINING A LOOK-ALIKE DOMAIN NAMES IN WEBPAGES AND METHODS OF USE THEREOF
A method includes instructing a computing device of a user to determine when a webpage is loaded via a web browser; where the web browser includes at least one of: a plug-in or an extension associated with the provider server associated with a first entity; where the plug-in or the extension is configured to request and receive a unique schema-specific identifier from the provider server; instructing the computing device to determine that the webpage is a particular webpage based on a determination that the webpage includes at least one field to be populated with user information; determining that the particular webpage is associated with a look-alike domain name based on: comparing a domain name of the particular webpage with at least one domain name of at least one second entity associated with at least one previously used unique schema-specific identifier associated with the user or at least one other user.
G06F 16/58 - Recherche caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement
A computer implemented method, system, and non-transitory computer-readable device for a remote deposit environment. The method may include using a mobile device to identify a substantially level surface within a field of view of a camera of the mobile device; display an image stream of a physical environment including the substantially level surface and a virtual model of a financial instrument, the virtual model of the financial instrument depicted as having a position and orientation relative to the substantially level surface; instruct a user to position a financial instrument such that the financial instrument is aligned with the virtual model; determine a distance from the mobile device to the financial instrument and an orientation of the mobile device relative to at least one of the financial instrument or the substantially level surface; and based on the distance and the orientation of the mobile device, automatically capture an image.
Disclosed are a system and techniques for authenticating voice transactions with a payment card. A system example may include a purchase application executing on a smart digital device, and a payment card. The purchase application may receive an item purchase request via an audio input device of the smart digital device for an item available to purchase. The received item purchase request may be sent to an application server or the like, and, in response, a list of merchants offering the item available for purchase and each merchant's price for the item available to purchase may be received. The list may be presented on a smart digital device display for selection of at least one of the merchants selling the item may be received. A payment card may be inserted into the smart digital device's near-field communication field to provide a signal containing encrypted data.
G06Q 20/12 - Architectures de paiement spécialement adaptées aux systèmes de commerce électronique
G06Q 20/34 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des cartes, p. ex. cartes à puces ou cartes magnétiques
G06Q 20/38 - Protocoles de paiementArchitectures, schémas ou protocoles de paiement leurs détails
G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
H04W 4/80 - Services utilisant la communication de courte portée, p. ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
98.
COMPUTER-BASED SYSTEMS AND/OR COMPUTING DEVICES CONFIGURED FOR IMPLEMENTING BROWSER EXTENSIONS THAT PROVIDE CONTEXTUALLY RELEVANT INFORMATION TO A USER VIA A GRAPHICAL USER INTERFACE
An example method includes identifying, using a browser extension, content of a first webpage of a first website being displayed using a browser. The identifying of the content includes determining a product related to the content of the first webpage and determining that the product has been added to an electronic shopping cart. The method further includes determining a merchant that offers the product for sale and determining, based on a user account associated with the browser extension, a customer reward offered by the merchant and available to the user account. The method further includes determining that the browser has navigated away from the first webpage to a second webpage of a second website. The method further includes modifying the browser to display a graphical user interface element including information about the customer reward and a link configured to navigate the browser back to the first website.
In some implementations, a server may receive, from a first user device, a request to use an encrypted representation of a digital representation of a physical identifier (ID) associated with the user. Accordingly, the server may transmit, to a second user device, a prompt associated with validation of the request, and may receive, from the second user device, a response to the prompt. The server may validate the request using the response to the prompt. The server may transmit, to a first remote server, at least a first portion of the encrypted representation with a request to perform a first action associated with the user. The server may additionally transmit, to a second remote server, at least a second portion of the encrypted representation with a request to perform a second action associated with the user.
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
G06F 21/62 - Protection de l’accès à des données via une plate-forme, p. ex. par clés ou règles de contrôle de l’accès
H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
A device may receive a target document. The device may segment the target document into multiple segments. The device may determine, for each segment of the multiple segments, a set of color parameters for a corresponding set of pixels included in that segment. The device may determine, for each segment of the multiple segments, an average color parameter for that segment based on the set of color parameters for the corresponding set of pixels included in that segment. The device may generate a target color profile for the target document based on determining the average color parameter for each segment. The device may compare the target color profile and a model color profile associated with classifying the target document. The device may classify the target document based on comparing the target color profile and the model color profile.
brevets
