Most AI tools can talk about networks. NetBrain’s new AI Agents are built to work with the reality of yours.
When an incident hits, engineers often have to jump between tickets, alerts, dashboards, runbooks, device data, and past tribal knowledge just to understand what is happening. Every handoff adds time. Every missing detail adds risk.
With NetBrain 12.3.1, AI Agents bring that context together. Built on NetBrain’s Context-Aware Digital Twin, Network Intents, and Agent Skills, they help teams move from manual investigation to guided diagnosis and action with the right network context in place.
With AI Agents, teams can:
- Trigger deep diagnosis from tickets, alerts, or webhooks
- Run root cause analysis across your actual topology and operational data
- Ask natural-language questions about runbook results
- Validate change impact before pushing updates
- Capture senior engineer knowledge through reusable Agent Skills
The result is not generic AI giving generic answers. It is agentic automation grounded in your network, your workflows, and your operational knowledge.
Engineers stay in control with role-defined scope, full audit trails, and human review or pre-approved automation required before any network change is made.
Explore NetBrain AI Agents
📝 What AI Agent capability are you most excited to explore: Deep Diagnosis, Runbook Companion, Agent Skills, change impact analysis, or AI Documentation?