G06Q20/02

Systems and methods for an account capabilities framework

A method and apparatus for managing capabilities of an account of a user system at a commerce platform are described. The method may include receiving, at the commerce platform, a request from a user system that identifies an account at the commerce platform and includes a capability requested for the account, where the requested capability corresponds to a desired functionality of the account. The method may also include mapping the requested capability to a compliance plan that defines a set of account data to be collected before activation of the capability for the account by the commerce platform. Furthermore, the method may include transmitting a message, generated by the commerce platform, that comprises a listing of additional data to be provided by the user system before activation of the capability for the account, where the additional data comprises a minimal set of account data defined by the compliance plan less any data already associated with the account at the commerce platform. The method may also include, in response to receiving, by the commerce platform, at least one response from the user system that includes the additional data, activating the capability for the account.

Machine learning for determining an API communication

In some examples, a payment processing system receives transaction information of transactions performed by a plurality of merchants. The payment processing system may generate, using one or more trained machine learning classifiers and based on transaction information of a current transaction of a first merchant, a request to a plurality of financial systems. Further, the payment processing system may expose an application programming interface (API) to at least one financial system of the plurality of financial systems for electronic communication of financial information at least one of to or from the at least one financial system. Additionally, the payment processing system may generate, using the one or more trained machine learning classifiers and based at least on information obtained from the at least one financial system, via the API, one or more payment actions for the first merchant to perform using the payment processing system.

Machine learning for determining an API communication

In some examples, a payment processing system receives transaction information of transactions performed by a plurality of merchants. The payment processing system may generate, using one or more trained machine learning classifiers and based on transaction information of a current transaction of a first merchant, a request to a plurality of financial systems. Further, the payment processing system may expose an application programming interface (API) to at least one financial system of the plurality of financial systems for electronic communication of financial information at least one of to or from the at least one financial system. Additionally, the payment processing system may generate, using the one or more trained machine learning classifiers and based at least on information obtained from the at least one financial system, via the API, one or more payment actions for the first merchant to perform using the payment processing system.

System and method for transferring funds

A method including receiving a request based on a sender initiating a funds transfer. The funds transfer can be for the sender to make a payment to a non-financial institution. The sender can have a sender account at a sender financial institution. The non-financial institution can have a recipient account at a recipient financial institution. The method also can include facilitating obtaining sender identifying information from the sender. The method additionally can include facilitating sending at least (a) the sender identifying information, (b) a recipient public identifier of the non-financial institution, and (c) a payment amount for the payment to the sender financial institution to cause the sender financial institution to (i) determine a funds availability of the sender account to make the funds transfer for the payment amount and (ii) send a funds transfer request to a computer-implemented funds transfer network to make the payment from the sender account at the sender financial institution to the recipient account at the recipient financial institution. The funds transfer request can include the recipient public identifier and the payment amount. The funds transfer request does not include an account number of the recipient account. The computer-implemented funds transfer network can include a first directory mapping the recipient public identifier to a recipient private identifier. The computer-implemented funds transfer network can be configured to send the recipient private identifier to the recipient financial institution to enable the recipient financial institution to map the recipient private identifier to the account number of the recipient account and make funds available to the recipient account in real-time for the payment. The computer-implemented funds transfer network can be operated by an entity that is different from the recipient financial institution and the sender financial institution. Other embodiments are disclosed.

System and method employing virtual ledger

A system, method and computer program product for open innovation including an asset valuation device receiving asset information about tangible or non-tangible assets, and generating a valuation signal, based on the asset information; a self-executing code device receiving the valuation signal, and generating a self-executing code signal, based on the valuation signal; an air router device having both a low band radio channel, and an internet router channel for redundant internet communications, and a malicious code removal device for scrubbing malicious code from data received, receiving the valuation signal, and generating a node voting request signal, based on the valuation signal; and a mesh network having a plurality of node devices receiving the node voting request signal, and generating vote confirmation signals, based on the node voting request signal. Computing devices are connected to the node devices to perform problem solving, smart contract processing, and/or cryptocurrency mining.

Voice recognition to authenticate a mobile payment

Systems and methods are provided for authenticating mobile payments from a customer account to a merchant. The systems and methods may include a financial service provider receiving a request to authorize an electronic transaction at a point-of-sale. A financial service provider server computer may verify that the customer is present at the point-of-sale using received location data. An image having distorted text such as a captcha may be transmitted to a device at the point-of-sale, and the customer may read the captcha aloud. A voice sample of the customer may be sent to the financial service provider for comparison to stored voice recordings, to verify that the customer's voice sample is authentic if the voice matches a previously generated voice recording for the account. If the voice sample is authentic, the financial service provider may authorize the mobile payment.

Voice recognition to authenticate a mobile payment

Systems and methods are provided for authenticating mobile payments from a customer account to a merchant. The systems and methods may include a financial service provider receiving a request to authorize an electronic transaction at a point-of-sale. A financial service provider server computer may verify that the customer is present at the point-of-sale using received location data. An image having distorted text such as a captcha may be transmitted to a device at the point-of-sale, and the customer may read the captcha aloud. A voice sample of the customer may be sent to the financial service provider for comparison to stored voice recordings, to verify that the customer's voice sample is authentic if the voice matches a previously generated voice recording for the account. If the voice sample is authentic, the financial service provider may authorize the mobile payment.

Systems and methods for identity graph based fraud detection

A method and apparatus for fraud detection during transactions using identity graphs are described. The method may include receiving, at a commerce platform system, a transaction from a user having initial transaction attributes and transaction data. The method may also include determining, by the commerce platform system, an identity associated with the user, wherein the identity is associated with additional transaction attributes not received with the transaction. Furthermore, the method may include accessing, by the commerce platform system, a feature set associated with the initial transaction attributes and the additional transaction attributes, wherein the feature set comprises machine learning (ML) model features for detecting transaction fraud. The method may also include performing, by the commerce platform system, a machine learning model analysis using the feature set and the transaction data to determine a likelihood that the transaction is fraudulent, and performing, by the commerce platforms system, the transaction when the likelihood that the transaction is fraudulent does not satisfy a transaction fraud threshold.

METHOD FOR PROCESSING AN AUTHORIZATION TO IMPLEMENT A SERVICE, DEVICES AND CORRESPONDING COMPUTER PROGRAM
20180007052 · 2018-01-04 ·

A method for processing, by a processing entity, of an authorization to implement a service and/or access an item. The method includes: reception, from a requesting device, of a request for implementing a service and/or accessing an item; searching for an indicator of dependency from at least one piece of data of said request for implementation; when an indicator of dependency is present, obtaining an authorization from a verification device to implement said service and/or access said item.

VIRTUAL SMART CARDS WITH AUDIT CAPABILITY
20180007039 · 2018-01-04 ·

Virtual smart card system includes a virtual smart card server (VSS) which controls access to content respectively associated with a plurality of virtual smart cards. A remote client computer system includes a system level agent which establishes the client computer machine to the VSS as a trusted computer system. A user level agent at the client computer system responds to a request for a virtual smart card operation by causing the client computer system to obtain user authentication information, negotiate with the system level agent to obtain a cookie, and initiate a request to the VSS for the virtual smart card operation. The VSS will perform the virtual smart card operation provided that a security policy is satisfied and will communicate the results to the user level agent.