US 2026/0230467 A1 · SYSTEM AND METHOD FOR AUTOMATICALLY SELECTING AUTHENTICATION TOKENS TO AUTHENTICATE USERS BASED ON DYNAMICALLY COMPUTED REAL-TIME EXPOSURE METRICS

Abstract

Embodiments of the present invention provide a system for automatically selecting authentication tokens to authenticate users based on dynamically computed real-time exposure metrics. The system is configured to receive a communication request from a user, via a communication channel of a plurality of communication channels associated with an entity, analyze the communication request to identify one or more parameters associated with the communication request, retrieve a plurality of authentication tokens that are associated with the user, transmit the one or more parameters and the plurality of authentication tokens to a neural network model, determine, via the neural network model, a first authentication token of the plurality of authentication tokens to authenticate the user for processing the communication request, and authenticate the user, via the first authentication token, for processing the communication request.

Claims20

Dependent claims

A system for automatically selecting authentication tokens to authenticate users based on dynamically computed real-time exposure metrics, the system comprising:

at least one network communication interface;
at least one non-transitory storage device;
and
at least one processing device coupled to the at least one non-transitory storage device and the at least one network communication interface, wherein the at least one processing device is configured to:
receive a communication request from a user, via a communication channel of a plurality of communication channels associated with an entity;
analyze the communication request to identify one or more parameters associated with the communication request;
retrieve a plurality of authentication tokens that are associated with the user;
transmit the one or more parameters and the plurality of authentication tokens to a neural network model;
determine, via the neural network model, a first authentication token of the plurality of authentication tokens to authenticate the user for processing the communication request;
and
authenticate the user, via the first authentication token, for processing the communication request.

8 more elements

A computer program product for automatically selecting authentication tokens to authenticate users based on dynamically computed real-time exposure metrics, the computer program product comprising a non-transitory computer-readable storage medium having computer executable instructions for causing a computer processor to perform the steps of:

receiving a communication request from a user, via a communication channel of a plurality of communication channels associated with an entity;
analyzing the communication request to identify one or more parameters associated with the communication request;
retrieving a plurality of authentication tokens that are associated with the user;
transmitting the one or more parameters and the plurality of authentication tokens to a neural network model;
determining, via the neural network model, a first authentication token of the plurality of authentication tokens to authenticate the user for processing the communication request;
and
authenticating the user, via the first authentication token, for processing the communication request.

4 more elements

Dependencies are inferred from the claim text.

System and method for automatically selecting authentication tokens to authenticate users based on dynamically computed real-time exposure metrics

Life of this patent

System and method for automatically selecting authentication tokens to authenticate users based on dynamically computed real-time exposure metrics

Life of this patent

Abstract

Claims20