Architecting For AI: Secure, Scalable, Multicloud
F5, Tuesday, January 20th, 2026
In the age of AI, your data doesn't just sit. It replicates, migrates, gets mined, retrained, and served up across more zones, clouds, and services than your architecture ever planned for. And if you're still thinking of multicloud networking as 'pick a primary and fail over,' you're already behind.
AI broke the old model.
The moment you introduce LLMs or agentic AI into the stack, your data stops being static. It becomes dynamic, constantly shifting between lakes, warehouses, and inference endpoints. You're not just syncing between clouds anymore. You're orchestrating high-throughput, low-latency, policy-bound replication loops across a fragmented mesh of compute and storage.
And that mesh is growing fast, and so is the operational complexity needed to manage it.