NEW RELEASE
Agentic NetOps: Defining a New Era for Network Operations
NetBrain upgrades its AI agents with the live network intelligence, network context, and guardrails enterprises need to diagnose, decide, and act with confidence.
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Gartner® predicts that, “By the end of 2027, 80% of network automation platform vendors will introduce agentic AI capabilities, up from less than 20% in early 2026. NetBrain customers are already there.”
01
Cross-Domain Context with MCP
Every Tool in your Stack. One Diagnosis. No integration work.
NetBrain already sees the network – control-plane state, topology, your intended designs, and the actual path traffic takes. MCP brings everything else: application telemetry, logs, traffic flows, ITSM history (e.g., ServiceNow), security events, and APM data from tools like Dynatrace. If a tool has an MCP server, its context is available to any agent-driven investigation – no custom integrations, no development cycles. Agents correlate across all of it in real time. They don’t ask whether it’s the app or the network. They already know.
02
Agent Skills
Skills That Train Agents on Your Network
NetOps teams can now inject domain knowledge and best practices directly into NetBrain’s Deep Diagnosis and Runbook Companion ensuring agents are precisely tailored to your operations and network. Skills encode the institutional knowledge that lives in your team’s heads: naming conventions, circuit IDs, escalation contacts, troubleshooting playbooks. The agent reasons on your network, not a generic one.
03
LLM Flexibility
Freedom to Choose Your AI Model
Native support is now expanded to Claude (Anthropic), Gemini (Google), GPT-5 (OpenAI), and any OpenAI-compatible endpoint, including self-hosted models. Host any LLM or SLM locally in your environment: if it exposes the OpenAI API interface, NetBrain connects to it. Enterprises choose the AI that fits their architecture, budget, and security requirements without vendor lock-in.
04
AI Path Doctor
Path validation for accurate diagnoses
AI Path Doctor validates and improves path accuracy in the network, identifies a good path, and lets you troubleshoot problems on that path (e.g., devices dropping packets, etc.). Reliable network paths are the foundation for accurate diagnosis and automation that the agents run — inaccurate paths lead to inaccurate conclusions. AI Path Doctor ensures that the foundation is trustworthy, on demand.
05
Golden Assessment Library
Pre-built, industry-validated automations that can be used for assessments. Updated quarterly. Run immediately.
Pre-built, industry-validated network automations released regularly to help assess the network with industry shifts. This release includes updated coverage for capacity management, Cisco ACI intent integration with Deep Diagnosis, and Troubleshooting Skills for Deep Diagnosis.
Why Opt-in or Upgrade?
✔ Answer ‘app or network?’ automatically with cross-domain context and ITSM, security and APM integration to further eliminate tickets.
✔ Teach agents your network’s institutional knowledge with Agent Skills so you get better consistency.
✔ Validate every path for the agents so you don’t have to waste time with AI Path Doctor.
✔ Run on any LLM — including self-hosted, air-gapped deployments — with full OpenAI API compatibility.
✔ Connect NetBrain to your entire AI ecosystem via MCP, grounding external agents in real network intelligence.
✔ Pre-built assessments updated every release, so your coverage keeps pace with the industry.
