Tanium Extends Agentic AI to Help MSPs Tackle Endpoint Sprawl and Scale Services

Key Takeaways

  • Tanium is pushing agentic AI deeper into daily MSP operations through tools like Tanium Ask and the Security Triage Agent.
  • The company is expanding endpoint coverage into OT and mobile environments, reducing tool fragmentation.
  • Partners are being positioned to move from reactive troubleshooting to repeatable, AI‑supported service offerings.

Tanium used its recent Converge conference in Orlando to tackle a challenge that has become almost mundane for MSPs—too many endpoints, too many manual tasks, and not nearly enough time. The company outlined updates to its Autonomous IT platform designed to put agentic AI directly into operational workflows, not as a bolt-on but as something closer to a workhorse running behind the scenes. It’s a practical pitch, and maybe that’s why it resonated: MSPs rarely need more dashboards; they need fewer steps.

A central piece of that strategy is Tanium Ask, which brings natural‑language querying and AI‑driven workflows directly into the platform. Instead of bouncing between tools, pivoting across data sources, and stitching together investigations, teams can ask a question and trigger an end-to-end operational flow. Tony Beller, Tanium’s Senior Vice President of Global Partner Sales, framed the benefit clearly. MSPs can query the environment using plain language, get real‑time answers based on live endpoint intelligence, and move straight into context‑aware remediation.

It’s a small detail, but the emphasis on fewer handoffs captures how these tasks play out day-to-day. Beller pointed to capabilities like data discovery for faster root‑cause analysis, software management for automated deployments, dashboard summarization for instant insights, and in-console documentation. All of it is meant to reduce the micro-friction that slows analysts down. If you’ve ever watched a technician juggle multiple consoles to chase one thread of evidence, you know exactly what he’s describing.

The company is also collapsing steps in threat investigations. Tanium’s Security Triage Agent pulls live endpoint context into a single workflow and integrates with tools like Microsoft’s Security Copilot. Beller noted that by avoiding the overhead of correlating data from multiple systems, MSPs can shorten investigation time and reduce redundant tasks. Yet the more interesting implication is what this frees teams to do—spend time on the customer conversations that actually require human judgment.

A second theme at Converge was endpoint diversity. Sprawl no longer stops at laptops and servers; OT equipment and mobile devices are firmly part of the mix, especially for customers in manufacturing and healthcare. Tanium’s move to extend management and visibility into OT and mobile isn’t a theoretical step. It’s a response to the way MSP environments have shifted, often faster than their toolsets. OT systems, which NIST broadly defines as hardware and software that monitor or control physical devices, have historically lived in technology silos for good reason. Bringing them into a unified operational model isn’t trivial.

Still, Beller emphasized that these new capabilities will be crucial for partners supporting diverse environments. The pitch is straightforward: unify security intelligence across IT, OT, and mobile, and you get fewer blind spots and less governance drift. For MSPs and MSSPs, that consistency often matters as much as any fancy feature. In a market where providers often cobble together multiple endpoint tools to cover all device types, consolidating under a single platform can significantly reduce cost and operational noise.

Integrations remain a practical differentiator. With the Tanium Connector for Microsoft Intune, MSPs can pull Intune‑managed devices into the same operational view used for the rest of the endpoint estate. Real‑time visibility and remediation become unified through the Tanium platform, eliminating inconsistencies that creep in when device families live in separate systems. It’s not glamorous work, but unifying governance across customers is exactly the kind of behind‑the‑scenes improvement that scales.

That brings up a question: what do these capabilities mean for MSPs trying to differentiate themselves in a crowded services market? Tanium’s answer leans heavily on repeatability. The company is positioning agentic tools like Tanium Ask and the Tanium AI Agent for ServiceNow as ways for partners to build higher‑value, AI‑driven services that plug directly into existing ITSM workflows. The goal isn’t to replace what teams already do, but to automate and accelerate the pieces that are predictably time‑consuming.

According to Beller, partners can use these capabilities to proactively monitor environments, detect issues earlier, and remediate faster. The focus is on compressing response times and offering services that look consistent across customer deployments. That is where the shift from reactive troubleshooting to strategic advisory work starts to take shape. Faster SLAs, premium autonomous operations tiers, and AI‑assisted reporting become part of a commercially viable service catalog rather than one-off heroics.

There is a slight tension here that many MSP leaders will recognize. Automation can feel like it squeezes the billable hours model. But when you look closer, it acts as an enabler. The ability to package AI‑supported services gives partners a way to introduce new tiers, new guarantees, and new forms of insight—all built on real-time endpoint data that’s already present in the Tanium platform. It turns repeatable outcomes into sellable outcomes.

Because Tanium is extending coverage across IT, OT, and mobile endpoints, the surface area for structured, repeatable services gets wider rather than narrower. MSPs are being asked to do more with constrained teams; any tool that helps create predictable workflows across a sprawling device mix earns attention quickly.

That is why this update isn’t really about a single new feature. It is about Tanium pushing its agentic AI deeper into operational muscle memory, giving MSPs a way to scale not by working harder, but by shifting more of the grind into automated, context‑aware workflows. For partners that have been living in a world of constant firefighting, that practical impact may be the part that matters most.