Abstract: A system receives a selection, by a first entity, of product, provided by a second entity, wherein the first entity and the second entity are members of an entity network. The system receives an indication of receipt of the product via an application programming interface (API), transmitted by a first entity, and derives a first ranking metric for the second entity of the entity network based on feedback received from the first entity of the entity network. The system derives a second ranking metric for the second entity of the entity network based on one or more transactions received from a third entity of the entity network, determines whether the first ranking metric is valid based on the second ranking metric, and provides the first ranking metric to entities of the entity network based on the validity of the first ranking metric.

Abstract: Disclosed are example methods, systems, and devices that allow for secure multi-verification of biometric data in a distributed computing environment. The techniques include receiving a request to grant authorization to a second user. The request can include biometric data of the first user and second user. An authorization token can be generated based on the request, which can be transmitted to a second computing device of the second user. A second request can be received from a third computing device that includes the authorization token and third biometric data. The second request can be verified based on the authorization token, the third biometric data, and provenance data, and an indication that the grant of authorization to the second user is verified can be transmitted to the first, second, or third computing devices.

Abstract: Systems and techniques for social responsibility load balancer are described herein. First user data for a first user and second user data for a second user is obtained. The first user data is aggregated into a first dataset and the second user data is aggregated into a second dataset. The first dataset and the second dataset are evaluated using a responsibility prediction learning model to determine a set of responsibilities. A target responsibility delta is calculated. The set of responsibilities are processed using a responsibility balancing algorithm to sort the set of responsibilities into the first responsibility assignments and the second responsibility assignments. A current delta is calculated between the first responsibility assignments and the second responsibility assignments. It is determined that the current delta is equal to the target responsibility delta. A user interface is generated to output the first responsibility assignments and the second responsibility assignments.

Abstract: Systems and methods may generally be used to link two or more accounts. An example method may include creating a first savings account for a first user for a particular purchase and linking the first savings account to a second savings account of a second user for the particular purchase. The method may include receiving a goal for one of the first or second savings accounts. A suggested action for the first user may be determined using a trained model based on the particular purchase, the goal, and the first and second savings accounts. The suggested action may be output for display, such as on a user interface.

Abstract: Systems, methods, and computer-readable storage media utilized for event-based authentication. One method includes recognizing an event and receiving, from a device, a withdrawal request of a user, wherein the withdrawal request includes a captured feature by the device. The method further includes determining that the user is associated with the recognized event using at least a geographic proximity between the event and the withdrawal request, wherein the geographic proximity is a given radius around a location of the event, and wherein the device is within the given radius and adjusting authentication rules based on the determination that the user is associated with the recognized event, wherein the adjustment of the authentication rules includes adjusting a matching threshold between the captured feature and a reference feature. The method further includes processing the withdrawal request for the user based on the adjusted authentication rules.

Abstract: A method comprises receiving a cash level indicator from a third-party server. The cash level indicator indicates an amount of cash in each of a plurality of cash storage devices, where the plurality of cash storage devices receive cash from a plurality of delivery agents. Each of the cash storage devices is arranged within or on a vehicle operated by one of the plurality of delivery agents. The method further comprises receiving a cash request from a user device. The method also includes selecting one of the plurality of cash storage devices based on the cash level indicator and location data of delivery agent devices of the delivery agents. The method also comprises sending a message comprising location data of the user device, the selected delivery agent device being one of the delivery agent devices, wherein the selected cash storage device is associated with the selected delivery agent device.

Abstract: A computer system is described that is configured to enable customers of an organization to self-monitor account activity and modify account access settings via a contact center of the organization. The contact center control system is configured to provide an interactive call history associated with the customer's accounts with the organization. Using the call history, the customer may perform self-monitoring of calls into the contact center that access the customer's accounts, and notify the organization if any of the calls appear suspicious. The contact center control system is configured provide a user interface through which the customer may modify account access settings including changing which types of authentication methods are enabled to access the customer's accounts, and blocking account access by callers from certain phone numbers. The contact center control system may allow the customer to turn off all access to the customer's accounts via the contact center.

Abstract: A call screening computing system is described that is configured to perform voice captcha and real-time monitoring of calls into a contact center of an organization. The call screening computing system includes a chat bot configured to operate as an AI-based call screener. The chat bot is configured to perform voice captcha by sending a random question to a user device placing a call into the contact center, and analyzing the received answer to determine whether a user of the user device is human or a robot. The chat bot is configured to, based on the user being human, determine whether the user is a legitimate customer of the organization by generating and presenting authentication challenges to the user device. The chat bot may be configured to monitor and interact with a conversation between the user and an agent of the organization during the call into the contact center.

Abstract: Embodiments of the disclosure are directed to authenticating a user at an electronic computing device. Information is received from a defined zone of an environment surrounding the user. A level of authentication is calculated for the user based on the information from the defined zone of the environment. When the level of authentication is greater than or equal to a predetermined threshold, the user is authenticated at the electronic computing device to perform a requested activity.

Abstract: Methods and systems of authenticating a user based on an event, such as a natural disaster, a gathering of people, and mass activities of people. The method comprises recognizing, by a financial institution computing system, an event; receiving, by the financial institution computing system, a transaction request of a user; determining, by the financial institution computing system, that the user is associated with the recognized event; adjusting, by the financial institution computing system, authentication rules for the user; and processing, by the financial institution computing system, the transaction request for the user based on the adjusted authentication rules.

Abstract: A computer system is described that is configured to generate an entry in a centralized event log for each voice call into a contact center of an organization. The event log system is configured to receive call data associated with action performed during the call and retrieve context data associated with the call from across a plurality of disparate systems used by the contact center to service the call. The event log system is configured to include both the call data and the context data in the call entry, and to correlate the call entry with previous call entries for a same entity identified for the call. The call entry may also include entity profile data as metadata. The pertinent data for the call will be stored in a single, centralized location accessible by any of the front-end systems for use in determining how to handle the call.

Abstract: A computer system is described that is configured to generate an entry in a centralized event log for each voice call into a contact center of an organization. The event log system is configured to receive call data associated with action performed during the call and retrieve context data associated with the call from across a plurality of disparate systems used by the contact center to service the call. The event log system is configured to include both the call data and the context data in the call entry, and to correlate the call entry with previous call entries for a same entity identified for the call. The call entry may also include entity profile data as metadata. The pertinent data for the call will be stored in a single, centralized location accessible by any of the front-end systems for use in determining how to handle the call.

Abstract: Systems and methods using a processor coupled to a non-transitory storage medium. The processor is structured to receive an indication of a mobile device connected to a secure network provided by a financial institution, where the mobile device is associated with a user account at the financial institution, identify the mobile device based on a unique identifier of the mobile device, automatically authenticate the mobile device for a first level transaction, receive a transaction request from a user via the mobile device, determine that the transaction request is for the first level transaction, and complete the transaction request.

Abstract: A computer system is described that is configured to enable customers of an organization to self-monitor account activity and modify account access settings via a contact center of the organization. The contact center control system is configured to provide an interactive call history associated with the customer's accounts with the organization. Using the call history, the customer may perform self-monitoring of calls into the contact center that access the customer's accounts, and notify the organization if any of the calls appear suspicious. The contact center control system is configured provide a user interface through which the customer may modify account access settings including changing which types of authentication methods are enabled to access the customer's accounts, and blocking account access by callers from certain phone numbers. The contact center control system may allow the customer to turn off all access to the customer's accounts via the contact center.

Abstract: A call screening computing system is described that is configured to perform voice captcha and real-time monitoring of calls into a contact center of an organization. The call screening computing system includes a chat bot configured to operate as an AI-based call screener. The chat bot is configured to perform voice captcha by sending a random question to a user device placing a call into the contact center, and analyzing the received answer to determine whether a user of the user device is human or a robot. The chat bot is configured to, based on the user being human, determine whether the user is a legitimate customer of the organization by generating and presenting authentication challenges to the user device. The chat bot may be configured to monitor and interact with a conversation between the user and an agent of the organization during the call into the contact center.

Abstract: A computer system is described that is configured to generate an entry in a centralized event log for each voice call into a contact center of an organization. The event log system is configured to receive call data associated with action performed during the call and retrieve context data associated with the call from across a plurality of disparate systems used by the contact center to service the call. The event log system is configured to include both the call data and the context data in the call entry, and to correlate the call entry with previous call entries for a same entity identified for the call. The call entry may also include entity profile data as metadata. The pertinent data for the call will be stored in a single, centralized location accessible by any of the front-end systems for use in determining how to handle the call.

Abstract: A computer system is described that is configured to enable customers of an organization to self-monitor account activity and modify account access settings via a contact center of the organization. The contact center control system is configured to provide an interactive call history associated with the customer's accounts with the organization. Using the call history, the customer may perform self-monitoring of calls into the contact center that access the customer's accounts, and notify the organization if any of the calls appear suspicious. The contact center control system is configured provide a user interface through which the customer may modify account access settings including changing which types of authentication methods are enabled to access the customer's accounts, and blocking account access by callers from certain phone numbers. The contact center control system may allow the customer to turn off all access to the customer's accounts via the contact center.

Abstract: A call screening computing system is described that is configured to perform voice captcha and real-time monitoring of calls into a contact center of an organization. The call screening computing system includes a chat bot configured to operate as an AI-based call screener. The chat bot is configured to perform voice captcha by sending a random question to a user device placing a call into the contact center, and analyzing the received answer to determine whether a user of the user device is human or a robot. The chat bot is configured to, based on the user being human, determine whether the user is a legitimate customer of the organization by generating and presenting authentication challenges to the user device. The chat bot may be configured to monitor and interact with a conversation between the user and an agent of the organization during the call into the contact center.

Abstract: Embodiments of the disclosure are directed to authenticating a user at an electronic computing device. Information is received from a defined zone of an environment surrounding the user. A level of authentication is calculated for the user based on the information from the defined zone of the environment. When the level of authentication is greater than or equal to a predetermined threshold, the user is authenticated at the electronic computing device to perform a requested activity.

Abstract: A computer system is described that is configured to enable customers of an organization to self-monitor account activity and modify account access settings via a contact center of the organization. The contact center control system is configured to provide an interactive call history associated with the customer's accounts with the organization. Using the call history, the customer may perform self-monitoring of calls into the contact center that access the customer's accounts, and notify the organization if any of the calls appear suspicious. The contact center control system is configured provide a user interface through which the customer may modify account access settings including changing which types of authentication methods are enabled to access the customer's accounts, and blocking account access by callers from certain phone numbers. The contact center control system may allow the customer to turn off all access to the customer's accounts via the contact center.