Systems and methods for chatbot authentication

A computer-implemented method for user authentication for access to a service using a chatbot, the method comprising:

• receiving user information corresponding to a user;
• resolving the received user information to a unique identifier (UID) for the user;
• obtaining, from one or more data sources, comprehensive skills-or-knowledge based data about the user that matches the UID;
• generating a plurality of skills-or-knowledge based authentication questions based on the comprehensive skills-or-knowledge based data;
• outputting for display on a user device, one or more of the plurality of the skills-or-knowledge based authentication questions;
• receiving, in a natural language, one or more user answers corresponding to the one or more of the plurality of the skills-or-knowledge based authentication questions;
• utilizing a large language model (LLM) to evaluate the one or more user answer against a known ground truth based on the comprehensive skills-or-knowledge based data;
• and
• responsive to determining that a success count corresponding to a number of factually correct user answers corresponding to the one or more of the plurality of the skills-or-knowledge based authentication questions matches a pre-defined threshold number of matches, authenticating the user for access to the service.

A system for user authentication via a chatbot, the system comprising:

• a data repository configured for storing user identification information;
• a user interface configured for displaying authentication questions and receiving user answers from a user;
• at least one memory for storing data and computer-executable instructions;
• and at least one processor configured to access the at least one memory and further configured to execute the computer-executable instructions that cause the at least one processor to:
• receive user information corresponding to a user;
• resolve the received user information to a unique identifier (UID) for the user;
• obtain, from one or more data sources, comprehensive data about the user that matches the UID;
• generate a plurality of authentication questions based on the comprehensive data;
• output for display on a user device, one or more of the plurality of authentication questions;
• receive, in a natural language, one or more user answers corresponding to the one or more of the plurality of authentication questions;
• utilize a large language model (LLM) to evaluate the user answer against a known ground truth based on the comprehensive data;
• output for display on the user device, an indication corresponding to the evaluation;
• and
• authenticate the user for access to a service responsive to determining that a success count corresponding to a number of factually correct user answers corresponding to the one or more of the plurality of authentication questions matches a pre-defined threshold number of matches.