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.
-
-
Articles récents
- Intel® Xeon® Processors: The Most Preferred CPU for AI Host Nodes
- Building AI With Empathy: Sorenson’s Mission for Accessibility
- Multi-node deployments using Intel® AI for Enterprise RAG
- Connected Data is the Future: How Neo4j Is Enabling the Next Generation of AI
- Orchestrating AI for Real Business Value: Google Cloud’s Approach to Scalable Intelligence
-
Neural networks news
Intel NN News
- Intel® Xeon® Processors: The Most Preferred CPU for AI Host Nodes
Today’s AI workloads are not purely offloaded to GPU accelerators. Host CPUs such as the Intel® […]
- Multi-node deployments using Intel® AI for Enterprise RAG
As enterprises scale generative AI across diverse infrastructures, Intel® AI for Enterprise RAG […]
- Building AI With Empathy: Sorenson’s Mission for Accessibility
For Sorenson Senior Director of AI Mariam Rahmani, the future of AI isn’t about building the […]
- Intel® Xeon® Processors: The Most Preferred CPU for AI Host Nodes
-