A computerized method produces an identity code to identify each subject stored in the computer systems connected to a computer network while protecting the privacy and confidentiality of the subject. A central computer system receives an identity code of a suspect of a financial crime and sends the identity code to all computer systems connected to the computer network. The computer systems that have the matched identity code send the requested information to the central computer system. As a result, law enforcement organizations can eliminate crimes and financial institutions can recover the money stolen from them. In addition, law enforcement organizations and financial institutions can identify money launderers that are missed by their anti-money laundering transactional monitoring systems.

Systems, methods, and computer-readable storage media for inserting payment information into payment forms without user interaction. A system can identify that a user has navigated to a web page operated by a merchant computer system for a merchant and identify a payment form within the web page. The system can then execute a payment request API which generates a query for saved payment credentials for the user from the merchant computer system. When the merchant computer system indicates it does not have the saved payment credentials for the user, the system can identify browser-saved payment credentials stored in the Internet browser, then generate a virtual payment information associated with the browser-saved payment credentials. The virtual payment information can then be inserted into corresponding fields of the payment form without the user entering any additional information.

Applications for automatically transacting charitable donations triggered by location-based events and activities. The applications aggregate triggered donations and conduct a financial transaction when the aggregate amount meets or exceeds a pre-determined threshold. The applications also generate an audible notification to the user and others nearby when each donation is triggered.

Applications for automatically transacting charitable donations triggered by location-based events and activities. The applications aggregate triggered donations and conduct a financial transaction when the aggregate amount meets or exceeds a pre-determined threshold. The applications also generate an audible notification to the user and others nearby when each donation is triggered.

Methods and systems for determining risk associated with operation of autonomous vehicles using autonomous communication are provided. According to certain aspects, autonomous operation features associated with a vehicle may be determined, including features associated with autonomous communication between vehicles or with infrastructure. This information may be used to determine risk levels for a plurality of features, which may be based upon test data regarding the features or actual loss data. Expected use levels and autonomous communication levels may further be determined and used with the risk levels to determine a total risk level associated with operation of the vehicle. The autonomous communication levels may indicate the types of communications, the levels of communication with other vehicles or infrastructure, or the frequency of autonomous communication. The total risk level may be used to determine or adjust aspects of an insurance policy associated with the vehicle.

A computing system for electronically managing a token across multiple computer networks is described. The computing system includes a processor in communication with at least one memory device. The processor is programmed to generate a token associated with a payment account, the token having a format that simulates a format of a checking account identifier, and receive a payment request including the token, the payment request processed over a first network. The processor is also programmed to apply a set of rules to the payment request, determine that the payment request satisfies the set of rules, and convert the token into a payment account identifier using the set of rules. The processor is further programmed to transmit an authorization request message to a second network, receive authorization of the authorization request message from the second network, and provide authorization of the payment request to the first network.

Provided is a control method including: receiving, from first power equipment, first transaction data including, for example, transmitted power amount information indicating the amount of power transmitted to power accumulation equipment; obtaining, from the power accumulation equipment, received power information including, for example, received power amount information indicating the amount of power received from the first power equipment; verifying the first transaction data by referring to the received power information; executing a first consensus algorithm with second servers when the first transaction data is verified successfully; and recording a block including the first transaction data in a distributed ledger of a first server when the validity of the first transaction data is verified through the first consensus algorithm.

A method for authenticating a consumer. The method includes receiving an authorization request message associated with a consumer conducting a transaction with a portable consumer device. A challenge message is sent to the consumer, where the challenge message is dynamic or semi-dynamic. A challenge response message is received from the consumer, and an authorization response message is sent to the consumer. The authorization response message indicates whether or not the transaction is authorized.

Embodiments are directed to the tracking of data in a generative adversarial network (GAN) model using a distributed ledger system, such as a blockchain. A learning platform implementing a classification model receives, from a third party, a set of data examples generated by a generator model. The set of data examples are processed by the classification model, which outputs a prediction for each data example indicating whether each data example is true or false. The distributed ledger keeps a record of data examples submitted to the learning platform, as well as of predictions determined by the classification model on the learning platform. The learning platform analyzes the records of the distributed ledger, and pairs the records corresponding to the submitted data examples and the generated predictions determined by the classification model, and determines if the predictions were correct. The classification model may then be updated based upon the prediction results.

Systems and methods for providing user-controlled access to prescribed medications are provided. A cloud-based prescription database includes prescriptions, each associated with a unique patient identifier, locations of pharmacies, and available stock for the pharmacies. A unique patient identifier is received from a user device and the related prescriptions are retrieved from the database and displayed for user selection. Pharmacies which are geographically proximate to a location of the given user device which report availability of the medication associated with the user selected prescription are displayed at a map at the given user device.