Leveraging AI and Machine Learning to Transform Networking Technologies: Enhancements in Automation and Security
Authors: Nikhil Bhagat
Country: United States
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Abstract: Automation and security are two areas where Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized the landscape of networking and security technologies. As network infrastructures evolve and grow in complexity, traditional management practices are unable to keep up with the ever-increasing demands of scalability, efficiency and security. AI and ML can assist by automating repetitive processes, increasing network efficiency, and identifying threats. This paper describes the evolution of AI, networking opportunities for AI, and the operating model of machine learning. It describes the use of AI and ML to drive network automation with self-optimizing networks, proactive maintenance and zero-touch provisioning. AI and ML also help network security as they provide better anomaly detection, threat prediction and incident response. Not only do these technologies enhance network performance, but they also act as a proactive defense mechanism in a rapidly changing cyberspace environment. As AI and ML mature, their integration into networks will play a critical role in the evolution of more resilient, adaptive, and secure systems. By analyzing the use cases of AI and ML in network automation and network security showcased in this paper, a network and security architect can develop a strategic plan customized to their organization's needs for optimizing the network.
Keywords: Artificial Intelligence, Machine Learning, Network Automation, Security, Anomaly Detection.
Paper Id: 231422
Published On: 2024-10-26
Published In: Volume 12, Issue 5, September-October 2024
Cite This: Leveraging AI and Machine Learning to Transform Networking Technologies: Enhancements in Automation and Security - Nikhil Bhagat - IJIRMPS Volume 12, Issue 5, September-October 2024.