The escalating complexity and sophistication of cyber threats necessitate a paradigm shift in operating system (OS) security. Traditional security measures, while effective against known vulnerabilities, struggle to adapt to dynamic attack vectors. This paper introduces Intelligent Defense, an innovative approach to OS security powered by Artificial Intelligence (AI). By integrating advanced machine learning algorithms and neural network architectures, Intelligent Defense transforms an operating system into an adaptive, self-learning security platform capable of identifying, predicting, and mitigating cyber threats in real-time. The study explores the architecture and functionality of an AI-powered OS, highlighting its ability to detect zero-day exploits, thwart malware intrusions, and provide a proactive response to emerging threats. Furthermore, the paper discusses the ethical considerations, computational challenges, and scalability of implementing AI in system-level security. Through case studies and simulations, we demonstrate the superior resilience and efficacy of Intelligent Defense compared to conventional OS security frameworks. This pioneering approach underscores the potential of AI to redefine the cybersecurity landscape, setting a new benchmark for OS security in the age of intelligent systems.
