In the rapidly evolving digital landscape, cyber threats have become increasingly sophisticated, necessitating advanced threat intelligence systems. Artificial Intelligence (AI) has emerged as a pivotal technology in cybersecurity, enabling predictive models that enhance adaptive IT defense mechanisms. This paper explores AI-driven threat intelligence systems, detailing their architecture, methodologies, and applications in mitigating cyber threats. We discuss machine learning (ML) and deep learning (DL) models in predictive cybersecurity, real-time threat detection, and automated response systems. Furthermore, we address the challenges, ethical considerations, and future trends in AI-powered cybersecurity. Additionally, we examine the role of AI in securing Android platforms, the significance of AI-driven security for Software Developers, and how Java-based security frameworks contribute to robust cyber defense strategies.