Executive Summary: The cybersecurity landscape is evolving rapidly, with organizations facing increasingly sophisticated threats that traditional security measures struggle to counter. As enterprise networks grow in complexity and scale, fueled by 5G, edge computing, and AI workloads, so do the threats targeting them. AI and machine learning play a transformative role. In this blog, we explore how AI-powered network security agents—deployed using Red Hat® AI and Intel’s edge-optimized hardware—can classify encrypted traffic, detect threats in real time, and support scalable multi-agent architectures. We will cover use-cases, system architecture, pipelines, performance data, and the next steps. Enter artificial intelligence agents powered by Red Hat AI running on Intel infrastructure – a game-changing approach that brings intelligent network security directly to the edge of your network. This powerful combination is transforming how we detect, analyze, and respond to security threats in real-time.