Abstract: Systems, computer program products, and methods are described herein for multifactor authentication system that determines co-connected device presence for added security. The system utilizes a device fingerprint for each device. The device fingerprint may contain a library of interconnected devices, as well as ambient noise from the device. The device fingerprint will be used to determine confidence levels indicating whether the devices are in the same location and thus in operation by the same user during multifactor authentication.

Abstract: Systems, computer program products, and methods are described herein for multifactor authentication system that determines co-connected device presence for added security. The system utilizes a device fingerprint for each device. The device fingerprint may contain a library of interconnected devices, as well as ambient noise from the device. The device fingerprint will be used to determine confidence levels indicating whether the devices are in the same location and thus in operation by the same user during multifactor authentication.

Abstract: Systems and methods for dynamically switching payment mechanisms for outgoing payments are disclosed. A method may include: receiving, by a payment mechanism selection computer program, a payment request from an electronic device associated with a payor to pay a payee comprising payment parameters; presenting, by the payment mechanism selection computer program, a plurality of payment features to the payor electronic device; receiving, by the payment mechanism computer program and from the payor electronic device, a selection of a subset of the plurality of payment features; determining, by the payment mechanism selection computer program, a payor payment intent from the selection of the subset of payment features; selecting, by the payment mechanism selection computer program, a payment mechanism from a plurality of available payment mechanisms that is consistent with the payor payment intent; and executing, by the payment mechanism selection computer program, the payment using the payment mechanism.

Abstract: Aspects of the disclosure relate to artificial intelligence (AI)-based processing of account transfers between different accounts associated with a client. In particular, various aspects of this disclosure relate to triggering transfers based on data associated with electronic transfers (e.g., between accounts associated with different users) and/or information associated with card-based transactions. Additional aspects of the disclosure relate to using internet of things (IOT) modules to determine predicted consumption associated with utilities, and at least triggering account transfers based on the predicted consumption.

Abstract: Aspects of the disclosure relate to artificial intelligence (AI)-based processing of account transfers between different accounts associated with a client. In particular, various aspects of this disclosure relate to triggering transfers based on data associated with electronic transfers (e.g., between accounts associated with different users) and/or information associated with card-based transactions. Additional aspects of the disclosure relate to using internet of things (IOT) modules to determine predicted consumption associated with utilities, and at least triggering account transfers based on the predicted consumption.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for dynamic event-based integration of resources and temporal resource processing. The invention is structured for dynamic integration of resources and resource processing based on events. Embodiments of invention may be configured for determining technology activity systems associated with a user, analyzing resources data on a user's device, determining temporal action triggers, transmitting temporal action triggers, modifying user activity programs, and conducting modified user activity programs. The invention may also be configured for determining a user's geographical location, and predict the effect of geographical location and other parameters on the resource level of the user.

Abstract: Aspects of the disclosure relate to artificial intelligence (AI)-based processing of account transfers between different accounts associated with a client. In particular, various aspects of this disclosure relate to triggering transfers based on data associated with electronic transfers (e.g., between accounts associated with different users) and/or information associated with card-based transactions. Additional aspects of the disclosure relate to using internet of things (IOT) modules to determine predicted consumption associated with utilities, and at least triggering account transfers based on the predicted consumption.

Abstract: Aspects of the disclosure relate to artificial intelligence (AI)-based processing of account transfers between different accounts associated with a client. In particular, various aspects of this disclosure relate to triggering transfers based on data associated with electronic transfers (e.g., between accounts associated with different users) and/or information associated with card-based transactions. Additional aspects of the disclosure relate to using internet of things (TOT) modules to determine predicted consumption associated with utilities, and at least triggering account transfers based on the predicted consumption.

Abstract: Aspects of the disclosure relate to artificial intelligence (AI)-based processing of account transfers between different accounts associated with a client. In particular, various aspects of this disclosure relate to triggering transfers based on data associated with electronic transfers (e.g., between accounts associated with different users) and/or information associated with card-based transactions. Additional aspects of the disclosure relate to using internet of things (TOT) modules to determine predicted consumption associated with utilities, and at least triggering account transfers based on the predicted consumption.