Agentic NetOps: The Right Direction, and the Real Work Ahead
NetBrain’s big announcement was so big, it took over the Sphere. But this was Cisco Live, so let’s talk about what Cisco had to say too. In his keynote, Jeetu...
Artificial Intelligence promises a self-healing, autonomous network. For today’s NetOps teams, that promise often feels hollow. The reality is that most AI tools are bolted on – built on a foundation of raw, low-context data. They can tell you what is happening, but they fail to understand why it’s happening or what to do about it. They generate alerts, not insights; they add to the noise instead of creating clarity.
This is the fundamental AI challenge for NetOps: How do you bridge the gap between data and decisive action?
The Answer is Smarter Data, Not More Data.
It’s about moving beyond simple metrics and feeding your AI the three layers of intelligence that truly matter: the raw data of your network, the expert knowledge that defines its intent, and the operational workflows that run your business.
By decoding the network’s DNA—its underlying intent—and infusing it with human expertise, we transform AI into a powerful cognitive tool that partners with human knowledge. NetBrain auto-discovers your hybrid network and applies a library of outage knowledge directly to your Digital Twin, creating a living understanding of your environment to enable a shift from reactive problem-solving to proactive prevention. This is how we move from the promise of AI to its practical, powerful reality.
NetBrain’s platform helps you overcome today’s most complex NetOps challenges by decoding high-value data – as network intent—the network’s DNA. NetBrain uniquely infuses this intent with human expertise. This empowers our AI to solve 100 problems proactively for every one found reactively.
Why? Because our AI is built on top of intent. And this foundation is backed by 20 years of digital twin technology.
The result? It doesn’t just read the network; it understands the intent behind it. This AI reads everything and then empowers people. It acts as a representative of human expertise. Think of it this way: AI and automation are powerful tools to help humans. Our tool has advanced cognitive automation. But the critical question is, how do you use it to maximize IT?
When implementing AI, you need to examine your network from three distinct angles to build a truly intelligent system:
- Look at the Raw Data. This is the foundation—the raw, digital facts from your devices, your topology, and your historical records.
- Capture the Knowledge. This is where your team’s expertise lives, and crucially, where the intent for how the network should behave resides. It’s the ‘why’ behind the ‘what.’
- Integrate the Workflows. This is how your company operates. We’re talking about your manual processes, your runbooks, your incident collaboration in tools like ServiceNow and Splunk.
By encoding this into data, you create the integrated workflow that powers self-service bots and automated services.
When you successfully integrate data, knowledge, and workflow, that is what creates the high-quality, contextual data foundation needed for effective AI.
And when highly organized data powers the AI, it enables people to do in five minutes what used to take five hours.
But how do we decode your network?
We auto-discover your hybrid network, then our rule and feature discovery engine applies a library of industry-wide outage assessment knowledge directly to your Digital Twin.
The Path to an Autonomous Future
The future of NetOps is not just automated; it is proactive, cognitive, and autonomous. The journey to this future, however, hinges on a critical foundation. It’s not enough to simply feed raw data into an AI and hope for the best.
True transformation occurs when you build your AI on a foundation of intent—your network’s DNA. By layering this with your team’s hard-won knowledge and your organization’s unique workflows, you move beyond simple automation to create a cognitive partner.
This is what shifts your team’s energy from constant firefighting to strategic innovation. It’s the difference between an AI that just reads the network and one that truly understands it, empowering your people to accomplish in minutes what once took hours.
The question is no longer if AI will reshape NetOps, but how you train it. The era of reactive networking is over. The era of the intent-driven, proactive network has begun.