Abstract: A computer-based network system and method for using a payment vehicle having an on and off function. The system comprises a payment vehicle comprising an on and off function to enable or to disable the payment vehicle in the computer-based network for processing an electronic payment transaction, a holder of the payment vehicle, and a computer payment network wherein the computer payment network comprises a transaction engine for enabling or for disabling the payment vehicle at a request of the holder of the payment vehicle.

Abstract: In some implementations, a device may receive, from a user device, a query for information from a user. The device may receive, from an enterprise system, data identifying products and services to be offered by the user. The device may process the query and the data, with a model, to identify a subject of the query and a context for the subject. The device may process the subject and the context, with a model, to determine a workflow for the user. The device may process the data, the subject of the query, and the context for the subject, with a model, to determine a key performance indicator or a decision associated with one of the products or the services. The device may provide information identifying the workflow, the key performance indicator, and/or the decision to the user device via a virtual assistant or a user interface.

Abstract: The invention provides systems, methods and computer program products for securing electronic transactions and users of electronic transaction services from phishing attacks by malicious attackers and fraudsters. A terminal device receives a first data communication comprising an OTP associated with a requested electronic transaction, and identifies a validity period associated with the OTP. The terminal device responds to detection of a second data communication between the terminal device and a remote entity during the identified validity period, by extracting content from the second data communication. The extracted content is analyzed and a risk decision is generated based on output of the analysis of the extracted content. The risk decision determines whether the remote entity comprises, or is controlled by, a malicious attacker.

Abstract: A cloud-based computing system is provided that includes a payments platform for integrating payment gateway services with a cloud computing platform so that clients of the cloud computing platform can perform payment transactions with customers via the cloud computing platform. The payments platform can use external and internal operating modes for ingesting new or old payment transaction data from the payment gateway services at the cloud computing platform.

Abstract: A cloud-based computing system is provided that includes a payments platform for integrating payment gateway services with a cloud computing platform so that clients of the cloud computing platform can perform payment transactions with customers via the cloud computing platform. The payment gateways that include a particular payment gateway. The cloud computing platform can include a multitenant database system that provides applications and services to a plurality of clients, and a payments platform module. Each client can be, for example, a tenant or organization of the cloud computing platform that transacts business with one or more customers via a payment gateway. The payments platform module has a pluggable architecture for integrating each of the payment gateway adapters with the cloud computing platform.

Abstract: A computer-based network system and method for using a payment vehicle having an on and off function. The system comprises a payment vehicle comprising an on and off function to enable or to disable the payment vehicle in the computer-based network for processing an electronic payment transaction, a holder of the payment vehicle, and a computer payment network wherein the computer payment network comprises a transaction engine for enabling or for disabling the payment vehicle at a request of the holder of the payment vehicle.

Abstract: A computer-based network system and method for using a payment vehicle having an on and off function. The system comprises a payment vehicle comprising an on and off function to enable or to disable the payment vehicle in the computer-based network for processing an electronic payment transaction, a holder of the payment vehicle, and a computer payment network wherein the computer payment network comprises a transaction engine for enabling or for disabling the payment vehicle at a request of the holder of the payment vehicle.

Abstract: A computer-implemented method for providing personalized purchasing information to a user may include: obtaining first identification data of the user from a first engine; verifying a registration status of the user based on the first identification data; obtaining second identification data of the user from a second engine based on the registration status of the user; comparing the first identification data of the user and the second identification data of the user; initiating a real-time credit monitoring session based on the comparison between the first identification data of the user and the second identification data of the user; generating the personalized purchasing information of the user based on the real-time credit score of the user; and demonstrating the personalized purchasing information on a display of a device associated with the user.

Abstract: A method is disclosed and includes receiving a push transfer message with a first transaction amount, and a digital tag, a credential or a token from an application server computer, in a transaction. In the transaction, a first user using a first user device interacts with a second user using the digital tag. The digital tag associated with the credential or the token, and the first user device has a transfer application that receives the digital tag and is in communication with the application server computer. The push transfer message is transmitted to an authorizing entity computer where a second amount is credited to the second user's account.

Abstract: Risky actions versus non-risky actions in a transaction are identified and a fraud score associated with probabilities of the risky actions is updated accordingly for purposes of determining whether the transaction is likely or not likely to be associated with fraud. A machine-learning model is trained to predict the risky actions versus non-risky actions of a transaction based on the transaction features as a whole and compare the predicted action labels of risky and non-risky versus the actual actions taken in the transaction to calculate probabilities of risky actions taken and output a risk or fraud score based thereon. Higher probabilities correlate with lower risk scores and vice versus.

Abstract: Various embodiments are generally directed to techniques for accurate evaluation of a financial portfolio. Techniques described herein may include an apparatus comprising: a processing circuit; and an approximate computing engine, executed on the processing circuit, operative to process data items corresponding to prices of funds, compute a Net Asset Value (NAV) based on the data items, determine a precision associated with the Net Asset Value (NAV), and based upon a precision metric, determine whether to use the Net Asset Value (NAV) in a business decision. Other embodiments are described.

Abstract: Apparatuses, systems, methods, and computer program products are disclosed for externally held account discovery and aggregation. A method includes aggregating transactions of a first service provider from one or more servers to a trusted hardware device. A method includes identifying, on a trusted hardware device, one or more transactions of a first service provider between an account of a user with the first service provider and an account of the user with a second service provider. A method includes prompting a user for electronic credentials for an account of the user with a second service provider. A method includes accessing data of a user from a second service provider on behalf of the user using electronic credentials.

Abstract: A computer-implemented system and method for managing a data process in a virtual reality setting are provided.

Abstract: A computer-based network system and method for using a payment vehicle having an on and off function. The system comprises a payment vehicle comprising an on and off function to enable or to disable the payment vehicle in the computer-based network for processing an electronic payment transaction, a holder of the payment vehicle, and a computer payment network wherein the computer payment network comprises a transaction engine for enabling or for disabling the payment vehicle at a request of the holder of the payment vehicle.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for an automated financial management system. One of the methods includes receiving data indicating a list of historic transactions of a user from a plurality of financial institutions. The method includes identifying at least one predicted unexpected expense based on providing at least some of the data to a trained machine-learning model, the trained machine-learning model trained using historic transaction data of a plurality of other users. The method includes determining a plan to account for the unexpected expense. The method also includes automatically transferring an amount based on the plan.

Abstract: Systems and methods for managing bundles of cryptocurrency assets.

Abstract: A system including a network interface circuit and a processing circuit. The processing circuit includes one or more processors coupled to non-transitory memory. The processing circuit is configured to receive a request for account information. The account information relates to an account of a user. The processing circuit is further configured to perform asynchronous data gathering to retrieve the account information based on the request. The processing circuit is further configured to provide the account information to an active cache of a user device. The account information is stored in the active cache of the user device for later retrieval.

Abstract: Embodiments provide methods and systems for verifying plurality of user attributes corresponding to a purchase of a user, including restricted products. Methods include receiving a payment request for purchasing a plurality of products, determining plurality of attributes to be verified for the payment request by applying regulatory rules on a products related information associated with the plurality of products, transmitting a payment link, to the merchant terminal including at least one user-specific attribute to be verified from the user.

Abstract: Any number of distinct dependent dimensions, associated with different object types, can be created and applied to accounting transactions. The distinct dependent dimensions can be used in generating reports, for example to provide insight into particular categories of transactions. Dimensional data can be captured along with transactional data, and subsequently used for categorizing and reporting on transactions. The distinct dependent dimensions can be organized in a hierarchical manner, for improved flexibility and functionality in categorizing and reporting on transactions. In addition, the dependent dimension structure can be used when generating and presenting user interface components, so that they properly restrict dimension data picklist values and prevent inconsistent dimension value selections.

Abstract: A credit scoring method and a server are provided. The method includes: determining at least one target user set in a plurality of user sets. The at least one target user set includes first behavior-unknown users whose predicted profit values are higher than second behavior-unknown users, the second behavior-unknown users are users other than the first behavior-unknown users on an application platform. The method also includes determining credit scores of first behavior-unknown users according to credit scores of behavior-known users in at least one determined target user set; obtaining first user samples from the first behavior-unknown users according to credit records of the first behavior-unknown users, the first user samples having profit values that satisfy a preset threshold; and performing credit scoring for a user according to a second scoring model obtained through training a first scoring model according to the first user samples and second user samples.