It’s an autonomous AI agent for network operations — agentic NetOps. Rather than just monitoring and alerting, it senses network state, decides what’s wrong, and acts to fix it in real time, under the guardrails you set. It operates like a team of expert NetOps engineers working at machine speed.

Traditional monitoring shows you dashboards and routes tickets; classic AIOps correlates events. The Network Agent goes further: it reasons over verified device, topology, path, and intent, pinpoints root cause, and closes the loop with remediation — the difference between being told the network is broken and having it fixed.

It fixes them. Closed-loop remediation lets the agent reroute, restart, reconfigure, and run proven runbooks to resolve an issue, then verify the fix — all within the autonomy boundaries you define.

Yes, because you control how far it goes. The safest first wins are triage, validation, and path optimization, with remediation approval-gated; as trust grows you can grant more autonomy. It never pushes blind config changes into production, and every action is audited.

Yes. It covers on-premises and AWS, Azure, GCP, and OCI — VPCs, SD-WAN, transit, branch, and data center — across network vendors, reasoning over the whole estate as one connected network.

It combines real-time telemetry with a verified model of your network — device, topology, path, and intent — then reasons across the full traffic path and tests hypotheses. In documented cases, that has isolated root cause in under twenty minutes on problems that had persisted for weeks.