AI growth forces a network reset. Distributed data surges in volume, stretching across regions with overlapping, or even conflcting, governance rules. Teams still inherit the same old work: stitch links, chase tickets, then explain risk after production.
In this session recorded at Networking Field Day, Graphiant CSO Arsalan Khan lays out a different path. Graphiant runs Network-as-a-Service on a stateless core, built as an overlay and underlay operated by Graphiant on leased fiber. You connect once, then treat branches, data centers, multiple clouds, and new neocloud options as one fabric with SLA intent.
The talk stays anchored in outcomes.
Speed: AI programs change providers and regions fast. A unified fabric reduces the delay between “need bandwidth” and “training starts.”
Control: Khan explains how governance moves into the network layer. You define policies centrally, like keeping regulated traffic inside a geography, then enforce across the fabric, without rebuilding rules in every app.
Proof: You get visibility at the metadata layer, such as paths, sources, destinations, apps, and assurance signals, without payload decryption. Audit work shifts from guesswork to evidence.
Exchange: Partner data sharing stays messy in real networks, especially with overlapping IP space. Graphiant positions secure exchange as a first-class workflow, with the ability to revoke partner access fast after an incident.
Khan also answers the “what makes AI different” question in plain terms. AI moves the whole haystack. Bandwidth demand rises. Provider choice changes more often. Flexibility becomes a governance requirement, not a nice-to-have.
Watch the full talk to see what a modern network is cabable of in the AI era.
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