International Journal of Scientific Research and Engineering Development

The increasing digitalization of modern infrastructures—ranging from Industry 5.0 and Internet of Things (IoT) ecosystems to 5G networks and autonomous systems—has led to a dramatic rise in sophisticated cyber threats that traditional security mechanisms struggle to detect. Artificial Intelligence (AI), particularly machine learning (ML) and deep learning (DL) techniques, has emerged as a powerful tool for enhancing threat detection, enabling the identification of network intrusions, malware, adversarial attacks, and zero-day vulnerabilities with greater accuracy and automation. This review provides a comprehensive analysis of recent AI-driven threat detection approaches, highlighting cutting-edge advancements such as transformer-based architectures, generative adversarial networks (GANs), federated learning, blockchain-enabled detection, and interpretable AI models. The papers examined span diverse application domains, demonstrating AI’s adaptability to different cybersecurity challenges. Despite these advances, persistent issues remain, including imbalanced datasets, lack of explainability, adversarial manipulation of AI models, high computational overhead, and the difficulty of achieving real-time, scalable solutions. This review synthesizes current findings, identifies open research gaps, and outlines key directions for developing robust, trustworthy, and future-ready AI-enabled cybersecurity systems. The analysis underscores that while substantial progress has been made, continued interdisciplinary collaboration and innovation are essential for fully leveraging AI’s potential in securing the rapidly evolving digital landscape.

Ms. Sankesha. A. Rajguru, Prof.Sayema. A. Khusro, "A Review: AI Enabled Threat Detection: Leveraging Artificial Intelligence for Advanced Security and Cyber Threat Mitigation" International Journal of Scientific Research and Engineering Development, V8(6): Page(2487-2493) Nov-Dec 2025. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.