Armis and TensorOps: Scaling Agentic AI for Proactive Security

Armis is the cyber exposure management and security company. Its platform, Armis Centrix, finds every asset an organization runs across IT, OT, IoT, and IoMT, watches them continuously, and helps security teams act on what they find. That work has made Armis a leader in OT and IoT security, trusted to protect some of the largest and most complex environments in the world.

As Armis expanded its platform into agentic AI, the company chose to build this capability in-house as a strategic, long-term investment, owned end to end by Armis engineering and product teams. To move at the pace the market demands, Armis selected TensorOps as a specialist engineering partner to scale delivery of an Armis-defined roadmap, drawing on TensorOps' depth in production-grade AI systems.

From visibility to action

Visibility alone has a ceiling. Knowing where exposure exists across an enterprise is essential, but closing the loop between detection and action is where security outcomes are actually delivered. Doing that at the scale Armis customers operate at, across hundreds of thousands of diverse assets, including legacy systems that were never designed for modern security operations, is a problem that traditional automation has not solved.

Armis set the strategic direction: build a multi-agent platform that can act safely and predictably inside the most demanding enterprise environments, on top of the asset intelligence Armis already provides. The goal was to give security teams a step-change in operational leverage, not another tool to manage.

How Armis and TensorOps worked together

The platform was designed and led by Armis. The architecture, product direction, safety model, integration into Armis Centrix, and the production hardening required for enterprise deployment are all owned by Armis. Within that frame, TensorOps brought serious applied AI engineering to the table: experienced AI engineers, hands-on expertise with multi-agent systems and modern model tooling, and the kind of production-minded discipline that holds up under enterprise security and reliability standards.

Working as a single integrated team across the United States, Portugal, and Israel, Armis and TensorOps engineers operated as one group rather than handing work back and forth. That tight collaboration, combined with TensorOps' ability to plug directly into Armis' engineering culture and standards, compressed timelines significantly without compromising on the bar Armis sets for everything that ships to its customers.

Few partners can move at this pace on AI work this demanding. TensorOps' track record of taking ambitious AI ideas to real production environments was a meaningful reason Armis chose to work with them on this initiative.

Why this matters now

Adversaries are already operationalizing AI. The volume, speed, and adaptability of modern attacks have moved past what reactive, human-in-the-loop workflows alone can keep up with. AI-native security platforms are no longer a forward-looking bet; for large enterprises they are becoming the baseline for staying ahead.

Armis is investing accordingly. The agentic AI work being done inside Armis is foundational to where the platform is going next, and the partnership with TensorOps is helping accelerate that roadmap while keeping ownership, quality, and standards exactly where they need to be.

As of today, Armis rolls out this agentic system to several enterprise design partners. More on the specific capabilities being built on this platform will be shared as Armis brings them to market.