Creating User-Centric and Artificial Intelligence-Enhanced Hybrid Authentication Systems and Policies: A Theoretical Approach

With the rapid acceleration of digitalization in today's world, the need for secure and user-friendly authentication systems has increased. This study examines the theoretical foundations of user-centric and artificial intelligence (AI)-enhanced hybrid authentication systems. This approach, which is based on the integration of passwords, biometric data, and behavioral biometric features, aims to enhance security and improve user experience. Enhanced through AI-supported processes and applications, this approach provides higher security and user satisfaction compared to traditional authentication methods. Findings indicate that the integration of traditional biometric and behavioral biometric data accelerates authentication processes and further increases security. This theoretical approach forms an important foundation for future applications and systems to be developed in the field.