Human-Centric Cybersecurity: Integrating Conversational AI with Secure Access Protocols for Enhanced User Experience

Abstract

With threats increasing daily, strong security mechanisms will never be out of place, but these should be friendly enough for use. This paper seeks to establish the relationship between conversational AI and secure access protocols to construct a friendly user cybersecurity approach that effectively serves security purposes. Conversational AI and, through it, natural language processing, biometric verification, and behavioural analysis can thus login: decrease the authentication process's resistance without diminishing its security. Furthermore, technologies like multi-factor authentication and biometrics are fully integrated with AI techniques that ensure the best-of-breed contextual access control. The coherence of these three components also allows for constant re-identification, real-time threat identification, and user interaction. Finally, it is possible to conclude that conversational AI and secure access protocols are not simply added values but are characterised by an innovative, hybrid cybersecurity model that makes digital tools safe and comfortable for customers.