Nasuni doubles down on edge-to-cloud AI data handling, spins resilience angle
Nasuni’s chief innovation officer Jim Liddle dropped an edge-to-cloud AI update. The file-sync specialist says AI training is less than 5% of AI use in enterprise. The real push? Feeding cloud AI with fresh data from multiple edge locations.
Liddle calls Nasuni’s play “three pillars”: edge-to-cloud data flow, a global namespace, and AI data resilience. He says Nasuni can sync data from a dozen or more sites into one global namespace, keeping it instantly available to AI wherever it runs — mostly in the cloud. 
Edge inferencing? Not a priority, according to Nasuni. Liddle argues GPU-heavy AI crunching stays in cloud hyperscalers. The Nasuni software “just moves” the data back and forth without hassle, letting local workers sync files but relying on cloud-grade AI scale.
Here’s Liddle on scaling across sites:
“Now imagine Agentic is taking off, this is the year of agentic AI. If anything, all of your 12 locations are taking orders and they’re all going into one particular directory in the namespace. So it’s all coalesced here. … Every time somebody puts something in, it’s all going into that global space.”
He adds:
“So you can actually have all of the edges communicate directly, transiently, back to the namespace … A lot of the vendors say, oh, you’ve got to inference into the edge because it’s hard to move the data back into the cloud, but not with Nasuni.”
Security feels baked in. Nasuni’s immutable snapshots work like a fast “time machine” for recovery. They also scan file change behavior to detect ransomware in real time, locking out suspicious activity and alerting admins.
On AI agent security, Liddle flags risks from poisoned or compromised agents in the Model Context Protocol (MCP) ecosystem:
“…If you’ve downloaded an agent from somewhere and just embedded it into your agent framework, who’s to say that that agent hasn’t been compromised at some point? It’s an agent from a channel partner supposedly. Who knows?… I think in the enterprise, most of them are just going to gravitate towards … closed doors.”
Nasuni offers a hybrid AI data fabric focused on multipoint enterprise data resilience and real-time access to global datasets in the cloud — rather than pushing AI inferencing power out to every edge location.
Jim Liddle, Nasuni
