Real-Time Network Monitoring with AI and LLMs in Cloud Networks

Abstract

Real-time network monitoring in cloud environments is a critical component of maintaining security, performance, and reliability. Leveraging Artificial Intelligence (AI) and Large Language Models (LLMs) offers a transformative approach to this task. AI enhances network monitoring by identifying patterns, predicting potential issues, and automating responses to anomalies. LLMs, with their advanced natural language processing capabilities, facilitate the interpretation of complex network data and logs, providing contextual insights and enabling more effective decision-making. Integrating AI and LLMs into cloud network monitoring systems allows for dynamic analysis of vast amounts of data, ensuring rapid detection and resolution of issues. This synergy not only improves operational efficiency but also enhances the overall security posture of cloud networks, making them more resilient to emerging threats. As cloud networks continue to grow in complexity, the adoption of AI and LLMs for real-time monitoring will be essential in managing the evolving landscape of digital infrastructure.