What is a self-driving network?
A self-driving network continuously analyses its own state and usage, detects anomalies early, and handles more and more on its own. This means fewer incidents that need manual escalation, shorter time from problem to resolution, and more predictable operations over time.
It is not about removing people from operations. It is about shifting the focus from dealing with what has already gone wrong to steering how the network behaves going forward.
Grow Together.
We have solid expertise in HPE Networking and help organisations build self-driving networks: networks that continuously analyse themselves, identify anomalies, and handle more and more on their own. We combine technical expertise with practical experience to ensure that the transition from manual to more autonomous operations happens in a controlled way and at the right pace.
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The network that acts, not just alerts
Traditional monitoring tells you what has happened. A self-driving network tells you why, and does something about it.
Marvis is the agentic AI in HPE Networking. It continuously analyses the network, identifies anomalies, and resolves them without manual intervention. The result is fewer escalated cases and an operations team that spends less time on support and more time on what actually moves the business forward.
Security designed in
In HPE Networking, security is not an add on. It is part of how the network is built.
Because the network continuously analyses traffic and state, the same real time insight is used to detect anomalies and respond to threats. The result is a network that sees more, responds faster, and handles more on its own, including security.
Our expertise
Most organisations we meet are already some way towards a more self-driving network. They have the tools and the data, but are not getting the full potential out of them. Our role is to help them take the next step, not through a major overhaul, but through controlled steps that deliver real impact. We know the HPE Networking platform well, and we know what actually works in practice, what delivers early results, and what can wait.