Abstract: In some implementations, a device may receive information indicating that an instrument has been provided by a user to a recipient. The instrument may be associated with a value, and the instrument may be designated for the recipient. The device may determine, using the machine learning model, a prediction of a time of an event associated with the instrument based on the recipient. The event associated with the instrument may result in a reduction of a balance of an account of the user. The device may transmit to another device of the user, a notification indicating the prediction of the time of the event associated with the instrument.

Abstract: In some implementations, a device may receive a document associated with a series of recurring events and associated with an account. The device may analyze, using at least one of an optical character recognition technique or a natural language processing technique, the document to identify one or more characteristics associated with the document. The device may match the document with a record included in a ledger associated with the account based on the one or more characteristics associated with the document, enabling the device to identify that the record is associated with a recurring event of the series of recurring events. The device may modify display information associated with the ledger to append at least one characteristic associated with the document to information associated with the record. The device may transmit, to a user device, the display information to cause the display information to be displayed by the user device.

Abstract: In some implementations, a credit decision platform may receive a credit request from an applicant and obtain domestic historical data associated with the applicant from a credit bureau device. The credit decision platform may obtain access to an email account associated with the applicant based on determining that the domestic historical data associated with the applicant is insufficient to process the credit request. The credit decision platform may identify, using one or more machine learning models, a set of email messages included in the email account that are relevant to the credit request and may analyze content included in the set of email messages to generate non-domestic historical data associated with the applicant. The credit decision platform may generate a decision on the credit request based on an estimated creditworthiness of the applicant, which may be determined based on the non-domestic historical data.

Abstract: In some implementations, a card may communicate with an exchange terminal to complete the first exchange associated with an entity, wherein the first exchange is associated with the entity providing a validation of a second exchange associated with a charge for parking a vehicle. The card may receive, from the exchange terminal, an indication of the validation code based on communicating with the exchange terminal to complete the first exchange, wherein the validation code indicates the validation of the second exchange. The card may store the validation code and a time indicator associated with receiving the indication of the validation code. The card may transmit, to an exit terminal, an indication of the validation code and the time indicator to cause an amount associated with the second exchange to be at least partially reduced, wherein the exit terminal is associated with completing exchanges for vehicles parked in the location.

Abstract: In some implementations, a prediction and monitoring system may processing, using a machine learning model, account data associated with an account that is associated with a user of a user device to identify a series of recurring events associated with the user device. The prediction and monitoring system may generate, using the machine learning model, a predicted transaction date and a predicted transaction amount that are both associated with the series of recurring events. The prediction and monitoring system may select, based on additional account data associated with the account and at least one of the predicted transaction date or the predicted transaction amount, a particular communication scheme, of a plurality of communication schemes, for communicating with the user. The prediction and monitoring system may transmit at least one message according to the particular communication scheme to facilitate authentication of the user.

Abstract: In some implementations, a system may receive a notification related to a battery life of a battery of a user device. The system may determine, based on the notification, a battery level of the battery of the user device. The system may select based on the battery level of the battery of the user device, a particular communication scheme, of a plurality of communication schemes, for communicating with a user of the user device. The system may transmit at least one message according to the particular communication scheme.

Abstract: Embodiments may generally be directed components and techniques to detect a request to provide banking account information over a one or more voice connections, identify the requested banking account information, and generate speech data representing the banking account information requested. In embodiments further include communicating the speech data to another device.

Abstract: In some implementations, a device may monitor incoming messages to at least one message account of a user. The device may determine, based on monitoring the incoming messages, that one or more messages, of the incoming messages, are associated with resetting authentication information for one or more accounts of the user. The device may determine, based on determining that the one or more messages are associated with resetting authentication information, whether the one or more messages are indicative of abnormal authentication information resetting activity. The device may perform one or more actions based on determining that the one or more messages are indicative of abnormal authentication information resetting activity.

Abstract: A device receives recording data, for a recording of a user associated with an account, that captures the user describing a transaction. The device processes the recording data to identify one or more characteristics of an individual that described the transaction in the recording. The device determines, based on the one or more characteristics of the individual, whether the individual that described the transaction in the recording is the user associated with the account. The device causes the recording data to be stored in association with transaction data that identifies a list of transactions that are associated with the account of the user, wherein causing the recording data to be stored in association with the transaction data allows the recording to be made accessible to the user via an interface of an application used to manage the account.

Abstract: Systems and methods for authenticating identification information are disclosed. For example, a system may include an Automated Teller Machine (ATM). An ATM may comprise a user interface. The user interface may comprise a joystick. The user interface may be configured to receive joystick input from a user. The ATM may comprise at least one memory storing instructions. The ATM may comprise at least one processor configured to execute the instructions to perform operations. The operations may comprise receiving identification information from the user. The operations may comprise receiving the joystick input. The operations may comprise extracting a joystick sequence from the joystick input. When the joystick sequence is within a predetermined threshold from a stored joystick sequence corresponding to the identification information, the operations may comprise authenticating the user for an ATM operation.

Abstract: In some implementations, a point of sale (POS) system may store a card read failure indication based on detecting that a transaction terminal failed to read information associated with a transaction card, wherein the card read failure indication includes information that indicates whether the transaction terminal failed to read the information associated with the transaction card from a chip, a magnetic stripe, or a contactless device. The POS system may transmit information associated with the card read failure indication to an external device based on detecting a successful transaction subsequent to the transaction terminal failing to read the information associated with the transaction card, wherein the information associated with the card read failure indication is transmitted to enable the external device to determine whether one or more of the transaction card or the transaction terminal is defective.

Abstract: Systems and methods of provisioning post-interaction values are disclosed.

Abstract: A biometric heartrate authentication system and method is disclosed that leverages heartrate information collected by heartrate tracking devices to build a heartrate profile for a client. The system further leverages location information collected by existing location information services to determine an activity profile for a client. The activity profile information may be used together with the heartrate profile to generate an expected heartrate range against which a cardholder heartrate may be compared for authentication purposes. Because client heartrate characteristics are generally unique, varying according to the unique activities being performed by the client at any point in time, the system and method thus provide a low cost, non-invasive method for reliably authenticating individuals and securing against fraudulent account accesses.

Abstract: 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.

Abstract: In certain embodiments, an online transaction is verified based on merchant-independent user geolocation. A geolocation of a user associated with the online transaction is obtained from a mobile device of the user by a transaction verifying entity separate and independent from a merchant entity with which the online transaction is initiated. A server associated with the transaction verifying entity determines a proximity of the geolocation of the user to a delivery address for verifying the online transaction. The server generates a verification message including an approval message based on the proximity of the geolocation to the delivery address being within a specified threshold. The server generates a verification message including a rejection message based on the proximity of the geolocation to a delivery address exceeding the specified threshold. The server sends the verification message to another server associated with the merchant entity to carry out the online transaction accordingly.

Abstract: A method for creating a customized and redacted credit report may include transmitting a user request to generate a customized credit report, receiving a copy of a stored credit report, analyzing the copy of the stored credit report, displaying one or more information fields and one or more selectable user interface elements, transmitting a credit report redaction list, and receiving a customized credit report. A user device for configuring a customized credit report may include a processor, a display in communication with the processor, and a non-transitory memory storing instructions that, when executed by the processor, cause the processor to perform processing including transmitting a user request to generate a customized credit report, displaying one or more information fields and one or more selectable user interface elements, transmitting a credit report redaction list, and receiving a shareable credit report link associated with a customized credit report.

Abstract: A method utilizing a permission-based access functionality to obtain communication identifying metadata in electronic communications associated with a first and/or a second user. The communication identifying metadata is processed to generate first physical address metadata associated with the second user. Second physical addresses metadata associated with the second user is identified in data objects stored in electronic resources. The first and the second physical addresses metadata are inputted into a machine learning model which identifies related physical addresses, based on a change in a feature of the first and/or second physical addresses metadata and to predict a most likely current physical address of the second user. Upon receipt of the access permission to the current physical address of the second user, a database stored on a computing device of the first user is updated with the current physical address of the second user.

Abstract: An example fraud analysis platform may receive timing information associated with a user interaction during a transaction, wherein the user interaction is associated with a user engaging in a transaction using a transaction account and a transaction device to access the transaction account. The fraud analysis platform may generate, based on the timing information, a transaction interaction signature associated with the user interaction. The fraud analysis platform may compare the transaction interaction signature to a reference signature associated with an authorized user of a transaction account. The fraud analysis platform may determine, based on the transaction interaction signature being associated with the reference signature, that the user interaction was performed by the authorized user of the transaction account. The fraud analysis platform may perform, based on determining that the user interaction was performed by the authorized user, an action associated with the transaction or transaction account.

Abstract: Example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. In an embodiment, each of the transmitting and receiving devices can contain a master key. The transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.

Abstract: Methods and systems are described for verifying an identity of a user through contextual knowledge-based authentication. The system described uses contextual knowledge-based authentication. By verifying an identity of a user through contextual knowledge-based authentication, the verification is both more secure and more intuitive to the user. For example, by relying on confidential and/or proprietary information, the system may generate verification questions, the answers to which are known only by the user.