Extreme Networks Unveils AI Agent for Network Troubleshooting

AI-powered network operations arrive

Extreme Networks has introduced Extreme Agent One Coworker, an agentic AI solution designed to accelerate network troubleshooting and automation. The company claims the technology can resolve networking problems up to 15 times faster than conventional human-led operations teams.

The solution operates as part of Extreme's Platform One suite, combining real-time network monitoring with historical trend analysis to deliver actionable recommendations to network operators. Rather than replacing human expertise, the system positions itself as an intelligent assistant that keeps people in control while operating at machine speed.

How the technology works

Extreme Agent One Coworker builds a comprehensive map of network relationships, tracking connections across users, devices, applications, services, and network conditions. The system employs retrieval-augmented generation (RAG), a technique that improves AI output accuracy by retrieving relevant external data to inform its recommendations.

A key feature is the "nudge" workflow, which continuously monitors network behavior for anomalies. The system compares current traffic patterns and platform-wide behavioral trends against each network's historical performance baseline, flagging deviations that may indicate emerging issues.

For wireless environments, the solution includes continuous performance optimization through radio frequency behavior analysis. The broader Platform One offering integrates zero-touch network fabric, zero-trust access security, native cloud public key infrastructure, and automated policy enforcement.

Why it matters

Agentic AI represents a shift from reactive troubleshooting to proactive network management. By analyzing patterns across an entire network infrastructure and providing context-aware recommendations, these systems can identify root causes rather than just symptoms. For enterprises managing complex, distributed networks, the ability to scale expert-level analysis across thousands of devices and connections addresses a fundamental operations bottleneck. The technology also reflects broader industry movement toward autonomous network operations, where AI agents handle routine diagnostics while human operators focus on strategic decisions.

Industry context

Nabil Bukhari, CTO and president of AI platforms at Extreme Networks, emphasized the importance of network-specific context in the solution's design. "That context is the difference between troubleshooting a ticket and fixing the root cause of a problem with documented analysis and recommendations," Bukhari said. "It turns insight into action and problems into resolutions at machine speed, while keeping people firmly in control. It's not replacing expertise; it's scaling it across the enterprise."

The launch follows similar developments in the networking sector, including Zayo's Agentic Networking for DynamicLink, which aims to advance network-as-a-service from software-defined self-service to agent-enabled operations.

These details were first reported by Automation Watch.