Year: 2025
Type: preprint
Abstract: The rapid advancement of technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI) has introduced new demands for network resilience and security. While current generative AI models primarily operate reactively, this limitation poses challenges for achieving fully autonomous networks. As networks interconnect more devices and process ever-increasing volumes of data, traditional methods struggle to address emerging security threats and complex operational requirements. Agentic AI offers a promising paradigm by enabling systems to proactively perceive, decide, and act with minimal human intervention. This article examines the role of agentic AI in enhancing future network autonomy and security. We review existing approaches and propose ideas for the roles of agentic AI in network resilience and security. We also highlight open challenges and suggest future directions, focusing on autonomy, multi-agent coordination, and their integration into network infrastructures. The goal is to provide insights for researchers, industry practitioners, and policymakers to advance resilient and secure next-generation networks.
Author: Nauman khan
Institution: University of Malakand
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4413916734