Tanium & ServiceNow launch autonomous IT product

Tanium has partnered with ServiceNow to launch an autonomous IT product, ITOM AI Prime powered by Tanium. The offering combines Tanium's platform with ServiceNow's IT Operations Management software.

The product is designed to connect real-time endpoint data with workflow automation so IT teams can identify and fix issues without manual steps. It brings Tanium's endpoint visibility into ServiceNow's configuration management database, workflows and AI agents.

The partnership targets a common problem in large IT environments: a mismatch between the systems organisations monitor and the actions they can take. The joint product aims to close that gap by feeding current endpoint information into ServiceNow processes, so actions are based on live device status rather than delayed or incomplete records.

The system can trigger remediation tasks through approved change processes and verify the results without human intervention. That includes operating system and third-party patching, an area under growing scrutiny as companies try to keep pace with a faster-moving threat environment.

How it works

Tanium's role in the combined product is to provide what it calls real-time endpoint truth. In practice, that means continuously updated information on device status across a corporate estate, which ServiceNow can use to route tasks, automate responses and support decisions made by software agents.

ServiceNow's ITOM AI Prime orchestrates those actions through workflows already familiar to IT operations teams. The integration also updates the CMDB, a central record of technology assets and their status that many organisations rely on for incident handling, change management and compliance.

More accurate CMDB data should help reduce operational complexity and cut the time spent investigating incidents. The product is also intended to support more governed use of AI in IT operations by grounding decisions in live telemetry from endpoints.

The approach reflects a broader shift in enterprise technology management. Businesses have spent years adding automation to service desks and infrastructure teams, but many still rely on periodic scans, ticket-based handoffs and manual approval chains that slow response times when systems fail or vulnerabilities emerge.

Tanium argues those older methods are increasingly inadequate, particularly for patching and remediation tasks that must happen quickly across large device fleets. Sporadic patching is no longer enough when threats evolve rapidly and organisations are expected to respond at machine speed.

Executive views

Harman Kaur, chief technology officer at Tanium, outlined the company's view of the operational challenge.

"Most organisations want autonomous IT but can't get there because their automation is built on stale data. We've solved that. Tanium gives ServiceNow continuous, accurate endpoint truth, and together we close the loop from detection to remediation without manual intervention," Kaur said.

She added: "This sets a new baseline for the industry: real-time visibility, AI-driven decision-making and autonomous remediation, unified for the first time in a single offering."

ServiceNow also pointed to internal use cases and projected operational gains from the approach.

"Together with Tanium, we've fundamentally changed how endpoints are managed and secured at scale-60% projected reduction in MTTR, autonomous patching and a clear path to our bold goal of zero breaches," said Sankha Nagchoudhury, SVP of Digital Business Services and Experiences at ServiceNow.

He added: "This is execution at scale, and we look forward to extending this proven value to customers."

Market context

The announcement comes as software suppliers and large enterprise technology groups push further into autonomous operations, using AI tools to reduce repetitive administration and shorten incident response times. Much of that effort depends on the quality of the data available to automation systems, especially in endpoint management, where devices can move on and off networks and change state quickly.

In many organisations, asset records in CMDB systems fall out of date, creating problems when automated workflows are asked to make decisions on incomplete information. By linking endpoint telemetry directly to workflow and remediation, Tanium and ServiceNow are positioning the product as a way to make those records more reliable and actions more immediate.

The deal also underlines the growing importance of partnerships between infrastructure software providers and workflow platform groups. Rather than building separate systems for visibility, decision-making and action, vendors are increasingly combining products to present a more unified operating model for enterprise IT teams.

Tanium said its platform already automates service desk and maintenance work that has traditionally required manual effort, particularly in patch management. The combined product extends that model by tying endpoint intelligence more directly to ServiceNow's orchestration layer and AI-driven processes.

For customers, the practical test will be whether the joint system can cut the time between detecting a device issue and resolving it while still fitting within existing governance controls. ServiceNow said the integration offers "60% projected reduction in MTTR, autonomous patching and a clear path to our bold goal of zero breaches," according to Nagchoudhury.