The Transformative Role of Artificial Intelligence and Machine Learning in Modern Cybersecurity and Network Management

Author(s)	Dr. Karthikeyan J, S V Mugunth Ragavan
Country	India
Abstract	The exponential rise of digital threats, coupled with the growing complexity of modern network infrastructures, has made traditional signature-based security measures increasingly inadequate. Artificial Intelligence (AI) and Machine Learning (ML) have emerged as transformative technologies, reshaping cybersecurity and network management. This review provides a high-level analysis of their role, synthesizing state-of-the-art techniques, highlighting practical applications, and outlining key challenges and future directions. By presenting fundamental concepts, critical terminologies, and a broad spectrum of research insights, the paper serves as a resource for researchers, practitioners, and policymakers aiming to understand the current landscape and the evolving trajectory of AI-driven security and network automation.
Keywords	Artificial Intelligence (AI), Machine Learning (ML), Cybersecurity, Network Management, Intrusion Detection Systems (IDS), Anomaly Detection, Threat Intelligence, Predictive Analytics, Deep Learning, Network Automation, 5G/6G Networks, Security Orchestration, Zero-Day Threats, Adversarial AI.
Field	Engineering
Published In	Volume 17, Issue 1, January-March 2026
Published On	2026-02-16

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