Published Paper Details:

The rapid expansion of digital technologies, including cloud computing, mobile platforms, and Internet of Things (IoT) ecosystems, has significantly increased the need for advanced security solutions. Conventional methods like passwords and fixed access controls are no longer effective against today's cyber threats, including phishing, stolen credentials, and unauthorized access. Artificial Intelligence (AI) introduces a new paradigm in security by enabling adaptive and intelligent authentication mechanisms. By leveraging machine learning, deep learning, and behavioral analysis, AI systems can evaluate user behavior, biometric characteristics, and contextual information to verify identities in real time. Technologies such as facial recognition, voice authentication, and behavioral biometrics support continuous authentication, improving both security and user convenience. In access control, AI facilitates dynamic and context-aware decision-making by analyzing factors such as user activity, device type, and location. This supports modern security models like Zero Trust, which require continuous verification instead of relying on a single authentication step. This paper examines the role of AI in authentication and access control, outlining its benefits, limitations, and future research opportunities.