For years, network patching has lived in the background. Security teams published advisories. Infrastructure teams scheduled maintenance windows. Some organizations stayed reasonably current. Many did not. Most accepted a certain amount of risk because the volume of patches was manageable and the operational cost of deploying them across large brownfield networks was enormous.
Nearly every networking vendor is introducing a trust framework to reassure enterprises on their journey towards agentic NetOps. That’s a good thing, and there’s no doubt that this is needed, yet customers routinely tell us that they believe there is still much work to do to mature agentic NetOps to the point that it is truly safe for autonomous action.
Most agentic trust architectures we’ve seen thus far emphasize governance, policy controls, and agentic reasoning. These are essential capabilities, but they answer different questions than whether an AI-generated output is actually correct. Governance and policy controls tell you an agent’s actions were reviewed, not that they were right. And while agentic reasoning is powerful, without independent validation, it’s probabilistic and prone to unpredictable outcomes. There is a critical burden of proof for agentic accuracy, especially in complex, multi-vendor and mission-critical enterprise network environments. Proof of accuracy has remained as a critical gap in agentic trust. That gap needs to be closed.
“Fail fast” is one of the defining philosophies of modern software engineering.
It reshaped startups, Agile development, DevOps, and cloud-native applications. Deploy early. Learn quickly. Iterate. Reduce the cost of experimentation.
It was the right philosophy for software. It never was for NetOps.
If you have ever seen a network organization with an SD-WAN controller running one part of the network, an intent platform in another, Ansible playbooks for a few workflows, and a great deal of CLI and ad-hoc scripting in between, you are not looking at an anomalous automation situation.
You are looking at the mainstream enterprise network.
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