AI Agent Biometric Authentication With Continuous Identity Verification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional biometric authentication systems are static and inflexible, leading to security vulnerabilities and user frustration, and scaling these systems across large organizations is costly and complex, with concerns over data privacy and user acceptance.
Innovation Solution
A biometric authentication system that combines a user's biometric input with a distinct digital signature to create a unique biometric characteristic, verified against a pre-stored profile, and includes a two-step verification mechanism involving a callback to the user's device for enhanced security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional biometric authentication systems are used, then initial verification is completed, but ongoing identity verification is absent leading to security vulnerabilities
Solution Approach 1:
The system implements continuous biometric verification during the entire session duration, not just at initial authentication. The biometric monitoring runs continuously in the background, constantly verifying the user's identity without requiring active user participation, thus maintaining security while preserving user convenience.
Solution Approach 2:
The system provides continuous feedback by monitoring biometric data throughout the session and comparing it against the authenticated identity. This feedback mechanism detects identity changes or unauthorized access attempts in real-time, enabling the system to respond to security threats dynamically while maintaining seamless user experience.
2Reliability
If AI-driven security systems are deployed, then robust protection against evolving threats is provided, but maintenance and updates are resource-intensive
Solution Approach 1:
The AI-driven authentication system performs self-updates and self-maintenance by continuously learning from new biometric data and threat patterns. The system automatically adapts to new authentication challenges and updates its models without requiring manual intervention, reducing maintenance resources while maintaining robust security protection.
3Reliability
If biometric data is collected for authentication, then secure identification is achieved, but data privacy concerns arise leading to user hesitancy
Solution Approach 1:
The system processes biometric data locally on the user's device rather than transmitting it to remote servers. Only authentication results are communicated, not the actual biometric data. This localized processing maintains high identification accuracy while addressing privacy concerns by keeping sensitive data on-device, thereby increasing user acceptance.
Data Source
AI summary
A method for performing a biometric based authentication through an Artificial Intelligence (AI) agent is disclosed. The method includes receiving, by an authentication engine, a request from a user device to interact with an AI agent. The request comprises a biometric input associated with a user handling the user device. The method includes blending, by the authentication module (304), the biometric input with a distinct digital signature associated with the AI agent to create a biometric characteristic. The method includes comparing, by the authentication module, the biometric characteristic with a pre-stored biometric characteristic. The method includes determining, by the authentication module, that the biometric characteristic matches with the pre-stored biometric characteristic. The method includes providing, by the authentication module, an access of the AI agent to the user device based upon the determination.