AI in intent-based networking (IBN)

Intent-based networking (IBN) promises to let engineers describe what they want the network to do in plain language—such as “prioritize video traffic in downtown Seattle”—and have software handle the thousands of underlying configuration changes. Instead of logging into individual routers, switches and firewalls and dealing with vendor-specific commands, an IBN system translates high-level intent into device-level policies.

AI sits in the middle of this translation work. It parses natural-language inputs, maps them to network policies, and continuously checks whether the live network still matches the stated intent. When conditions change—traffic spikes, link failures, new applications—AI models can suggest or trigger new configurations to keep the network aligned with the original goals. The result is less manual configuration, more automation, and a tighter feedback loop between what operators say they want and what the infrastructure actually does.