A system for storing data related to a transaction and for facilitating the transaction, the system comprising: an application server coupled with a database and configured to store information associated with a plurality of transactions, the information including account information related to a user account maintained by a first financial institution, a recipient identifier, and account information related to a recipient account maintained with a second financial institution, the application server further configured to: receive transaction data associated with a payment of the transaction, the transaction data comprising an identifier and user account information; identify the recipient account information based on a comparison of the received identifier against the stored recipient identifier; generate transfer instructions data based on the transaction data and recipient account information; and forward the transfer instructions data to the first financial institution based on the user account information to cause a deposit into the recipient account.

Methods and systems for generating a universal computer model for assessing a risk in an electronic transaction based on one or more risk assessment models are presented. The one or more risk assessment models may be incompatible with each other. Different portions of a risk assessment models may be extracted from the risk assessment models. A node structure is generated for each risk assessment model based on the portions extracted from a corresponding risk assessment model. The node structures generated based on the risk assessment models are merged to produce a merged node structure. The universal computer model is generated based on the merged node structure.

Systems and methods are described for facilitating payments and transactions using social background checks. Such systems and methods may use social networks with both individual members communicating over a network to a social authentication computing system. The authentication of transactions associated financial institutions are determined through the use of relationship measures based on social media interactions. Transactions and services available to a user are determined based on a measure of social identity through the use of social media platforms. Available contact and interaction data from one or more social media platforms is leveraged to analyze a level of trust that a transaction is not a consequence of fraudulent activity. Transactions that have a low level of risk of being a consequence of fraudulent activity are benefited through faster transaction times and other improvements.

Methods, systems, and apparatuses are described herein for authenticating access to an account using questions relating to which user, of a plurality of users authorized to access the account, performed certain actions. A request for access to an account may be received. Transaction data for the account may be received. A list of merchants may be generated for at least one transaction. An authentication question relating to the identity of a user that conducted a transaction may be generated. For example, the authentication question may prompt the user to indicate which authorized user(s) conducted particular transaction(s). The user device may be provided the authentication question. A response to the authentication question may be received. Access to the account may be provided based on the response.

Aspects described herein may allow for authenticating a user by generating a customized set of authentication questions based on spending patterns that are automatically detected and extracted from user data. The user data may include transaction data collected over a period of time that may indicate the types of merchants that a user frequently transacts with. By automatically detecting user patterns that correspond to user behavior over a period of time, an authentication system may be able to generate authentication questions about those spending patterns that are easily answerable to an authentic user but difficult to guess or circumvent for any other user.

When a user attempts to execute a procedure for transfer or the like from an app, user authentication is first required by a PIN code or the like. When the user authentication is successful, function limitation of an IC chip is released and a mode in which a function provided by the IC chip can be used is set. The app encrypts a procedure message describing procedure content with a private key using the function of the IC chip and creates electronic signature. The electronic signature and the procedure message are transmitted to a server of an online service via an intermediate server. The server executes a procedure of transfer or the like in accordance with the content of the procedure message.

Methods, systems, and devices for techniques for configuring a transaction funnel are described. A server may receive, from a provider, a first set of rules for providing a product or service of the provider. The server may transmit, to an entity of the product or service, the first set of rules received from the provider. The server may receive, from the entity, a second set of rules for providing the product or service, where the second set of rules may be based on the first set of rules. Using the configuration techniques, the server may generate a transaction funnel associated with providing the product or service.

A system and method associate a transponder identifier with a transient user account. The account is automatically activated and vehicle license plate information from the transient user's vehicle is automatically associated upon departure of the transient user from a vehicle departure point of a transportation hub. Toll charges incurred by the vehicle can then be associated with the transient user's account based on either reading the transponder identifier or capturing the license plate information. The account is automatically deactivated and closed-out upon return of the vehicle to a vehicle return point at the end of the transient use.

Methods, systems, and apparatuses are described herein for authenticating access to an account using questions which allow users to provide textual information about transactions conducted by an account. A machine learning model may be trained to predict the guessability of merchants. A request for access to an account may be received, and transaction data for that account may be received. An authentication question may be presented. For example, a user may be prompted to list places they have shopped recently. A user response comprising text data may be received. The text data may be processed to identify one or more merchants. If the one or more merchant(s) are represented in the transaction data, the machine learning model may be used to determine the guessability of the one or more merchants. An authentication score may be determined based on the guessability, and access to the account may be provided.

Apparatus and methods for securing a transaction. The apparatus may include a transaction instrument. The transaction instrument may be configured to exchange transaction data to effect a transaction by engagement of a microprocessor with a transacting party. The transaction instrument may include a sensor. The sensor may be configured to sense an environmental parameter. The sensor may be in electrical communication with the microprocessor. The apparatus may run analysis using a distributed model. In the distributed model, heavy processing may be performed at the pattern registration platform, and light processing may be performed on on-board processors on the transaction instrument. The environmental parameter may be associated with one or more behaviors of the user.