As “move fast” collides headfirst with “don’t get breached,” the enterprise AI control plane has become the infrastructure question nobody can afford to leave unanswered.

With shadow AI displacing shadow IT as the defining governance crisis of the decade, enterprises face a new operational imperative: Establish a unified enterprise AI control plane or expose the business to ungoverned agent sprawl, data leakage and runaway costs. Nutanix Inc. is using its annual .NEXT conference to answer that challenge directly, according to Paul Nashawaty (pictured, right), principal analyst at theCUBE Research.

“Nutanix enterprise AI, cloud-native by default, is really the standard that they want — one platform, one experience was the key takeaway. [Nutanix Kubernetes Platform] is really that standardized platform for cloud-native anywhere,” Nashawaty explained, reflecting on the full opening event keynote. “The architecture is there, the fundamental pieces are there, but it all drives towards that one experience.”

Nashawaty and John Furrier (left) conducted a keynote analysis segment at Nutanix .NEXT, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed Nutanix’s AI factory operating model, its shadow AI governance positioning and expanding ecosystem. (* Disclosure below.)

The enterprise AI control plane and the operating model shift

The keynote’s central declaration — that Nutanix is the operating model for AI factories — signals a company repositioning well beyond its hyperconverged infrastructure origins, Furrier explained. Nutanix has expanded its platform with new capabilities for agentic AI, broader Kubernetes support, and unified VM and container management under a single interface aimed directly at the enterprise AI control plane gap. But additions alone misses the point, according to Furrier.

“This keynote, to me, wasn’t about features — it was about the company declaring a position in the AI infrastructure stack,” he said. “Nutanix is moving from a cloud platform vendor to an AI operating model company. On stage, CEO Rajiv [Ramaswami] said, ‘We are the operating model for AI factories.’ That is a systems game.”

The governance dimension proved equally significant. Shadow AI — teams spinning up AI tools externally with no cost visibility, no security guarantees and data leaving controlled environments — framed the problem Nutanix is positioning itself to solve. A recent finding from theCUBE Research reveals that 67% of organizations are now hiring generalists over specialists, underscoring the need for frictionless, self-service platforms capable of abstracting infrastructure complexity without sacrificing oversight, Nashawaty noted.

“Governance, compliance and regulation are coming into play,” he said. “In two years, [NKP is] tracking at over 300% of targets — that’s a huge adoption, and that’s where the market is taking it.”

The neutrality signal embedded in the keynote also drew attention. Partnerships spanning Nvidia Corp., Advanced Micro Devices Inc., Cisco Systems Inc., Dell Technologies Inc., Microsoft Corp. and hundreds of others point to a platform built for operational optionality — a “Switzerland” approach to silicon and ecosystem, avoiding single-vendor lock-in across the hybrid AI stack, Furrier pointed out.

“If Nutanix can manage the agent sprawl, I think they’re going to win big,” he said. “Nutanix is out there. They’ve got their partners. They’ve certainly got open source. Those three things, to me, look like they’re looking good off the tee.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Nutanix .NEXT 2026:

(* Disclosure: TheCUBE is a paid media partner for Nutanix .NEXT. Neither Nutanix, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE