Enhanced secure authentication system utilizing dynamic avatar interaction and advanced multimodal biometric analysis

Abstract

A user authentication method for password resets, onboarding or transaction verification enages the user in an interactive session with a digital avatar powered by a Large Language Model and collects

Claims

1. A method for secure user authentication, comprising:o Engaging a user in an interactive session with a digital avatar powered by a language model;o Collecting and analyzing biometric data, including facial recognition and conversational analysis;o Authenticating the user based on a comparison with known user data and providing an authentication outcome.

2. The method of claim 1, wherein the interactive session is conducted in real-time.

3. The method of claim 1, wherein the language model is a large language model (LLM) capable of analyzing conversational nuances, including tone, content consistency, and language use.

4. The method of claim 1, wherein the facial recognition employs a combination of computer vision models and transformer-based models.

5. The method of claim 1, wherein the conversational analysis includes examining the tone of voice and consistency of information with known user data, such as language proficiency and historical interactions.

6. The method of claim 1, further comprising the application of the authentication method in various user scenarios, including password resets, account onboarding, and transaction verification.

7. A system for secure user authentication, comprising:o An interactive digital avatar driven by a language model;o A biometric analysis module utilizing facial recognition and conversational analysis;o A decision engine that determines the authenticity of the user's identity based on the biometric analysis results.

8. The system of claim 7, wherein the language model is an LLM, and the facial recognition employs a combination of traditional and transformer-based models.

9. The system of claim 7, further comprising a module for ensuring compliance with various security and privacy standards, such as ISO, GDPR, and PCI.

10. The system of claim 7, wherein the system is integrated into client platforms via an API, supporting a wide array of use cases and user scenarios.

11. A method for enhanced digital authentication, further comprising:• Monitoring user actions that might indicate fraudulent attempts, including obscuring the camera, muting audio inputs, or wearing items that hinder biometric analysis.• Analyzing physiological and behavioral signs of stress, deception, or coercion during the authentication process.• Dynamically adjusting the authentication protocol based on behavioral assessments to enhance fraud detection and ensure user compliance and safety.Description of the Drawings:• Figure 1: Overview of the system architecture, highlighting the integration of the LLM, digital avatar, and the dual-model facial recognition system.• Figure 2: Detailed flowchart of the authentication process, illustrating the steps from user engagement to authentication outcome, across various user scenarios.• Figure 3: Interface depiction showing a user interaction with the digital avatar, emphasizing the system's application in a password reset scenario.A

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