Abstract: Systems and methods for authentication may include a first device including a memory, a communication interface, and one or more processors. The memory may include a counter value, transmission data, and at least one key. The one or more processors may be in communication with the memory and communication interface. The one or more processors may be configured to create a cryptogram using the at least one key and counter value, wherein the cryptogram includes the counter value and the transmission data; transmit the cryptogram via the communication interface; update the counter value after cryptogram transmission; receive an encrypted access token via the communication interface; decrypt the encrypted access token; store the decrypted access token in the memory; and transmit, after entry of the communication interface into a communication field, the access token via the communication interface for access to one or more resources, wherein the access token is encrypted.

Abstract: Systems and methods for the of use information from application programming interfaces on wearable devices in third party applications are provided. A system comprising a user device, data storage, an application programming interface and an application is provided. In this system, there is a user device that includes a health monitor. The health monitor includes sensors and associated software that enable it to obtain health information about the wearer of the user device. In this system, there is data storage on the user device that stores the health information as user health data. In this system, there is an application programming interface on the user device that enables the health monitor to share the user health data with other applications executing on the user device.

Abstract: Systems, methods, and articles of manufacture to securely share data stored in a blockchain. A contactless card may receive a request to provide a data element from a device. An applet of the contactless card may encrypt the data element and a wallet address. The applet may generate a signature for the request, and transmit, to a mobile device, the signature and the encrypted data. The mobile device may transmit, to a verification service, the signature and encrypted data. The verification service may verify the signature based on a public key. A node in a blockchain may generate a block in the blockchain, the block comprising indications of the verification of the signature, the requested data element, and the wallet address. An encrypted data element corresponding to the data element may be decrypted using a public key. The device may receive the decrypted data element from the wallet address.

Abstract: A system may receive an indication that a user is accessing an ATM, receive, from the ATM, average session duration data over a predetermined period, generate, using a machine learning model, a busyness score for the ATM based on the average session duration data over the predetermined period, and determine whether the busyness score for the ATM exceeds a busyness score threshold. When the busyness score for the ATM does not exceed the busyness score threshold, the system may cause the ATM to present, via a first graphical user interface, a default ATM experience. When the busyness score for the ATM exceeds the busyness score threshold, the system may cause the ATM to present via, a second graphical user interface, a busy ATM experience.

Abstract: A server can receive a plurality of records at a databases such that each record is associated with a phone call and includes at least one request generated based on a transcript of the phone call. The server can generate a training dataset based on the plurality of records. The server can further train a binary classification model using the training dataset. Next, the server can receive a live transcript of a phone call in progress. The server can generate at least one live request based on the live transcript using a natural language processing module of the server. The server can provide the at least one live request to the binary classification model as input to generate a prediction. Lastly, the server can transmit the prediction to an entity receiving the phone call in progress. The prediction can cause a transfer of the call to a chatbot.

Abstract: Systems, methods, articles of manufacture, and computer-readable media. A server may receive a phone call and generate a uniform resource locator (URL) comprising a session identifier for an account. The server may transmit the URL to a client device. The server may receive, from a web browser, a request comprising the URL. The server may determine that the session identifier in the URL of the request matches the session identifier for the account, and transmit, to the web browser, a web page at the URL. The server may receive, from the web browser, a cryptogram read by the web page via a card reader of the client device and decrypt the cryptogram. The server may authenticate the identity of the caller for the call based on decrypting the cryptogram and the session identifier of the URL matching the session identifier of the account.

Abstract: Systems and methods for authentication may include a first device including a memory, a communication interface, and one or more processors. The memory may include a counter value, transmission data, and at least one key. The one or more processors may be in communication with the memory and communication interface. The one or more processors may be configured to create a cryptogram using the at least one key and counter value, wherein the cryptogram includes the counter value and the transmission data; transmit the cryptogram via the communication interface; update the counter value after cryptogram transmission; receive an encrypted access token via the communication interface; decrypt the encrypted access token; store the decrypted access token in the memory; and transmit, after entry of the communication interface into a communication field, the access token via the communication interface for access to one or more resources, wherein the access token is encrypted.

Abstract: A system and method are disclosed that leverage multi-factor authentication features of a service provider and intelligent call routing to increase security and efficiency at a customer call center. Pre-authentication of customer support requests reduces the potential for misappropriation of sensitive customer data during call handling. A contactless card uniquely associated with a client may provide a second factor of authentication via a backchannel to reduce the potential for malicious third-party impersonation of the client prior to transfer of the call to the customer call center. Pre-authorized customer support calls may be intelligently and efficiently routed directly to call center agents, without incurring further delay. During call handling, call center agents may initiate further client authentication processes, including contactless card authentication requests, over one or more different communication channels for authorizing access to sensitive information or to allay suspicion.

Abstract: Systems, methods, articles of manufacture, and computer-readable media. A server may receive a phone call and generate a uniform resource locator (URL) comprising a session identifier for an account. The server may transmit the URL to a client device. The server may receive, from a web browser, a request comprising the URL. The server may determine that the session identifier in the URL of the request matches the session identifier for the account, and transmit, to the web browser, a web page at the URL. The server may receive, from the web browser, a cryptogram read by the web page via a card reader of the client device and decrypt the cryptogram. The server may authenticate the identity of the caller for the call based on decrypting the cryptogram and the session identifier of the URL matching the session identifier of the account.

Abstract: Systems and methods for the of use information from application programming interfaces on wearable devices in third party applications are provided. A system comprising a user device, data storage, an application programming interface and an application is provided. In this system, there is a user device that includes a health monitor. The health monitor includes sensors and associated software that enable it to obtain health information about the wearer of the user device. In this system, there is data storage on the user device that stores the health information as user health data. In this system, there is an application programming interface on the user device that enables the health monitor to share the user health data with other applications executing on the user device.

Abstract: Disclosed embodiments may include a system that may receive an indication that a user is accessing an ATM, receive, from the ATM, average session duration data over a predetermined period, generate, using a machine learning model, a busyness score for the ATM based on the average session duration data over the predetermined period, and determine whether the busyness score for the ATM exceeds a busyness score threshold. When the busyness score for the ATM does not exceed the busyness score threshold, the system may cause the ATM to present, via a first graphical user interface, a default ATM experience. When the busyness score for the ATM exceeds the busyness score threshold, the system may cause the ATM to present via, a second graphical user interface, a busy ATM experience.

Abstract: Various embodiments are generally directed to continuous authentication of a user to a digital service based on activity of a contactless card positioned proximate to a computing device on which the digital service operates. For example, a series of periodic status messages may be provided between a client device and the contactless card to verify whether the contactless card remains active, wherein authorization to access the digital service continues while the contactless card is active, and terminates when the contactless card is inactive.

Abstract: Disclosed embodiments may include a system that may receive an interaction message associated with an interaction a user has with an application or website, the interaction message may include an error message or a repeated action message. The system may identify, using a first machine learning model, one or more issues associated with the interaction message, retrieve one or more troubleshooting steps mapped to the one or more issues, and generate a first message comprising the one or more troubleshooting steps and a feedback request on an effectiveness of the one or more troubleshooting steps. The system may transmit the first message to the user, receive feedback from the user in response to the feedback request, and determine whether the feedback is negative. When the feedback is negative, the system may transmit a second message to a representative requesting the representative call the user.

Abstract: A device may include a processor, a wireless transceiver in communication with the processor, and a non-transitory memory. The memory may store instructions that, when executed by the processor, cause the processor to perform processing. The processing may include receiving a command configured to be executed by an external user device. The external user device and the user device may be members of a network of trust. The processing may include detecting, by the wireless transceiver, a plurality of member devices of the network of trust in communication range of the device. The processing may include sending, by the wireless transceiver, the command to each of the plurality of member devices.

Abstract: A system and method are disclosed for training a machine-learning model to detect characteristics of fraudulent calls. The machine-learning model is trained using audio clips, voice recognition, call handler feedback and general public knowledge of commercial risks to detect and divert fraudulent calls, thereby alleviating the burdens otherwise placed on call center service representatives.

Abstract: 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.

Abstract: Methods and systems are disclosed herein for secure communication between computing devices. A mobile device may communicate with an untrusted device to cause the untrusted device to send information (e.g., encrypted information that the untrusted device is unable to decrypt) to a server using an Internet connection of the untrusted device. The mobile device may have limited or no access to the Internet. To prevent potential security risks associated with using a public or untrusted device, the mobile device may encrypt information stored on the mobile device (e.g., stored in a mobile application associated with the server), send it to the untrusted device (e.g., by displaying a QR code to a camera of the untrusted device), and the untrusted device may send the information to the server via a network connection of the untrusted device.

Abstract: Various embodiments are generally directed to continuous authentication of a user to a digital service based on activity of a contactless card positioned proximate to a computing device on which the digital service operates. For example, a series of periodic status messages may be provided between a client device and the contactless card to verify whether the contactless card remains active, wherein authorization to access the digital service continues while the contactless card is active, and terminates when the contactless card is inactive.

Abstract: A system for alerting a user of undesired components in purchase items is provided. The system comprises receiving a list of undesired components of purchased items, and defining an alert to a user of an undesired component in a purchased item, the alert comprising an alert timing configuration and an undesired component identification. The system further comprises receiving a notice that the user purchased an item, determining whether a listing of the purchased item has been automatically collected, and generating a list of components of the purchased item when the purchased item listing has been automatically collected, and obtaining from the user the list of components of the purchased item when the purchased item listing has not been automatically collected. The system further determines whether the purchased item contains an undesired component, and upon determining that the purchased item contains art undesired component, sends the alert to the user.

Abstract: Example embodiments of systems and methods for data transmission between a contactless card, a client device, and one or more servers are provided. The contactless card may include one or more processors and memory, which may include one or more applets. The client device may include one or more processors and memory. The client device may be in data communication with the contactless card. One or more servers may be in data communication with the client device. A first set of information may be transmitted from the contactless card to the client device. The first set of information may include one or more links to activate the contactless card via a designated email program. Upon validation of the first set of information by the one or more servers, the contactless card may be activated.