International Research Journal of Education and Technology

As cyber threats grow more intelligent and unpredictable, traditional security systems fall short in providing real- time, adaptive protection. This paper proposes a novel AI-powered adaptive security framework capable of identifying, learning from, and mitigating modern cyber threats across distributed digital environments. The integration of artificial intelligence, machine learning, and collaborative intelligence allows dynamic threat detection and policy adaptation. The framework addresses limitations in traditional systems and offers a scalable, self-learning, and proactive approach to cybersecurity. The study concludes by discussing its applications in IoT, healthcare, smart cities, and outlines opportunities for future enhancement including quantum security and explainable AI.

Keywords: Dynamic Threat Detection, Cyber Security, IoT, Quantum Security