Abstract: Systems and methods for fraud monitoring are disclosed, including: receiving a transaction request associated with a first instrument of a user; extracting, characteristics of the transaction request; identifying, by the first processor, user data based on the transaction request; determining a fraud severity value and notification value based on inputting the characteristics and user data into a fraud machine learning model; performing a first fraud action based on the fraud severity value; wherein the first fraud action is at least one selected from the group of locking the first instrument for a period of time, deactivating the first instrument, and electronically transmitting a first query message to a user device associated with the first instrument; and transmitting a fraud notification based on the notification value, wherein the fraud notification includes severity information associated with the fraud severity value.

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: The disclosed technology relates to Spend Limit Systems for gas-station refuel transactions. An exemplary system may receive vehicle information identifying a customer's vehicle and identify associated vehicle characteristics (e.g., gas tank size). The system may identify a known gas-station transaction geographic region for the customer. When the customer (or a fraudster) attempts to purchase gas, the system may receive a transaction request and, in response, set a single transaction limit sufficient to fill the gas tank size with gas and an associated spend limit. The system may also determine whether the merchant location falls within the known gas-station transaction geographic region. When it does, the system may approve the transaction request up to the spend limit. Otherwise, the system may perform one or more fraud prevention actions to authenticate the customer and either approve or deny the transaction request up to the spend limit and/or selectively perform fraud mitigation action(s).

Abstract: A method of distributing a smart will of a user, the method comprising: receiving a smart will creation request comprising: one or more beneficiary wallet identifiers, and asset distribution rules; creating, based on the smart will creation request, an estate smart contract, the estate smart contract being configured to authorize transfer of one or more assets registered to the estate smart contract to a storage location specified by an executor smart contract; receiving, by the executor smart contract, a death notification indicative of death of an owner of the estate smart contract; instructing the estate smart contract to transfer the assets from the estate smart contract to a trust smart contract; verifying, by the trust smart contract, that the beneficiary wallets are valid; and transferring, by the trust smart contract, one or more assets to the beneficiary wallets in accordance with the asset distribution rules.

Abstract: A card for storing both emergency information and payment information is disclosed. The card can be used by an emergency responder to retrieve emergency information for the user. The emergency information can enable the emergency responder to better render aid to the user. The card can have one or more processors, a sensor, and a memory in communication with the one or more processors and storing an application thereon. The application can cause the card to receive a request from a user device (e.g., from an emergency medical technician, or EMT) to access emergency information stored in the memory, transmit a security challenge to the user device, authenticate a received response to the security challenge from the user device, and transmit the emergency information to the user device.

Abstract: Embodiments of systems, methods, and devices for protecting service personnel by deploying a physical barrier are described. Further embodiments describe additional security features such as lights, sirens, cameras, electronic locks, timers, and/or notifying security personnel or local law enforcement when the system is activated.

Abstract: Systems and methods for artificial intelligence transaction priority control are presented. Transaction priority control may be provided in the context of online user accounts maintained by financial institutions. Transaction priority control may be obtained through querying transaction information from a database, applying a predictive model to determine a likely future transaction, assigning a priority score to the future transaction, and approving or denying the future transaction based on the priority score.

Abstract: An exemplary system, method, and computer-accessible medium for providing a financial account recommendation to person(s) can include receiving a transaction history for the person(s) associated with a first financial account, determining first rewards information based on the transaction history, accessing database(s) containing rewards rates for a plurality of second financial accounts, determining second rewards information for a particular second financial account of the plurality of second financial accounts based on the transaction history, and providing the financial account recommendation to the person(s) to one of (i) keep the first financial account or (ii) switch to the second financial account based on a comparison of the first rewards information to the second rewards information.

Abstract: A system includes an application programming interface, a database, and a server. The application programming interface can make recommendations to a user at a point of sale to display a recommended payment method from a set of payment methods associated with the user. The database can store past transactions for each payment method in the set of payment methods. The server can generate payment analytics by analyzing the past transactions in the database for each payment method. The server can determine potential benefits available to the user. The server can determine the recommended payment method by using the payment analytics and maximizing the potential benefits available to the user.

Abstract: A computer-implemented method of providing a notification to a user may include: obtaining a plurality of trigger conditions; monitoring a web session of the user to determine whether a trigger condition of the plurality of trigger conditions is satisfied; and in response to determining that the trigger condition is satisfied, executing a notification process, wherein the notification process includes: obtaining vendor information based on the trigger condition that is triggered, the vendor information including information associated with one or more vendors associated with the trigger condition that is triggered and/or alternative offer information associated with the one or more vendors; and causing display of a notification, the notification including information corresponding to the one or more vendors and/or the alternative offer information.

Abstract: In a method of facilitating product exchange transactions, an exchange facilitation system uses product return transaction data to establish a machine learning-based return transaction model using. The exchange facilitation system receives a request to purchase a desired product from a first purchaser user device. The exchange facilitation system determines an exchange offer recommendation using the machine learning-based return transaction model and information from the request to purchase. The recommendation includes an exchange offer including a proposed wait interval duration. The exchange facilitation system transmits the exchange offer to and receives an exchange offer response back from the first purchaser user device. Responsive to receiving a positive exchange offer response, the exchange facilitation system initiates a product exchange wait interval limited to the wait interval duration.

Abstract: Systems and methods for active web-based content filtering may include a memory storing user restrictions and dislikes, an interface, and a processor communicatively coupled to a backend server. The processor may implement a web browser add-on that parses content from an incoming webpage and compares that content against the user restrictions and dislikes to determine undesired incoming webpage content, and create a filtered webpage by removing the undesired incoming webpage content, and display the filtered webpage to the user.

Abstract: Example embodiments of systems and methods for a cryptographic bypass system, comprising: a contactless card; and a server, wherein the server is configured to: receive a cryptogram and location data after a tap of the contactless card to a client device, identify a first merchant based on the location data, set a flag associated with the first merchant and the contactless card, receive a transaction request from a merchant payment system of the first merchant associated with the contactless card, wherein the transaction request indicates a transaction amount, and approve the transaction request when the transaction amount exceeds a first transaction limit when the flag is set.

Abstract: A computer-implemented method may include receiving, from a module or an application installed on a user device of an individual, data related to first input to a first user interface for an activity associated with a location. The method may further include gathering additional data based on receiving the data related to the first input. The additional data may include one or more prior activities of the individual and one or more activities of interest to the individual. The method may include inputting the received data and the gathered additional data to one or more trained machine learning models. The method may include generating, based on the first output from the one or more trained machine learning models, second output related to the activity. The method may include sending a first instruction associated with causing a second user interface to be displayed on a display of the user device.

Abstract: Systems and methods for secure browser session transfer are provided. The system may include memory and one or more processors coupled to the memory. The one or more processors may be configured to establish a connection with an active web session of a first browser. The one or more processors may be configured to transfer, based on the established connection, the active web session to a second browser so as to preserve a first set of objects of the active web session of the first browser. The one or more processors may be configured to receive one or more parameters as a first input in the active web session of the second browser. The one or more processors may be configured to execute a plurality of actions in the active web session of the second browser that are responsive to the receipt of the first input.

Abstract: A computer vision card reader and/or point of sale device is described. The device is configured to sense when a user inserts a card into a card reader and to determine when a user departs or is about to depart from the device without retrieving the card. The device may issue an audible or visible alert to the user, reminding the user to retrieve the card. The device may additionally send a notification to a mobile device associated with the user that reminds the user that he has left a card at the point of sale. In some embodiments, message sent to the user contains a code and, upon entry of the code, the point of sale or card reader device returns the card to the user.

Abstract: A computer-implemented method for providing presentable transaction data of a product to a user may include obtaining preliminary transaction data of one or more purchasers other than the user; generating itemized transaction data based on the preliminary transaction data; obtaining one or more translation codes from one or more transaction entities; generating standardized transaction data based on the itemized transaction data and the one or more translation codes; retrieving identification data from the standardized transaction data; generating anonymized transaction data based on the standardized transaction data by withholding the identification data; generating presentable transaction data based on the anonymized transaction data; and transmitting, to a device associated with the user, the presentable transaction data.

Abstract: Exemplary systems, methods, and computer-accessible mediums can include, for example, receiving a first location of a user(s) and time information associated with that location, initiating a record for the user(s) based on the location and the time information, receiving a second location of the user(s), where the second location can be in a second bounded area, storing in record, a transaction(s) associated with the user(s) based on the second location, and automatically initiating a single payment for the transaction(s) when the user(s) leaves the first location.

Abstract: Systems as described herein determine merchant enforced transaction rules. A determination server may receive transaction data associated with a plurality of merchants. The determination server may generate a histogram of payments associated with a merchant category and filter out transaction data having purchase amounts above or below a predetermined threshold. The determination server may determine a first average purchase amount associated with merchants in the merchant category and a second average purchase amount associated with each merchant in the merchant category. The determination server may determine user spending patterns and that a first merchant in the merchant category enforces one or more card-based transaction rules using machine learning models. After determining that a user device is proximately located to the first merchant, a notification indicating the one or more card-based transaction rules associated with the first merchant may be sent to the user device.