Security Enhancements in Cloud Networks Through AI and Large Language Models

Abstract

The integration of artificial intelligence (AI) and large language models (LLMs) into cloud network security represents a significant advancement in safeguarding digital infrastructures. These technologies offer robust solutions to counteract increasingly sophisticated cyber threats. AI-driven tools leverage machine learning algorithms to detect and respond to anomalies in real-time, providing dynamic threat analysis and automated incident response. LLMs, on the other hand, enhance security measures by analyzing vast amounts of data to identify potential vulnerabilities and emerging attack patterns. They also facilitate more effective communication and decision-making within security operations teams by generating actionable insights and streamlining threat intelligence. Together, AI and LLMs enhance the resilience of cloud networks, making them more adaptive and proactive in defending against evolving cyber threats.