Product Management Intern

Tanium brings enterprise-grade manageability to NVIDIA local AI infrastructure. Real-time visibility, control, and compliance for RTX Spark, NVIDIA DGX Spark, NVIDIA DGX Station and DGX Station for Windows October 21, 2026 EMERYVILLE, Calif., October 21, 2026 - Tanium, a leader in Autonomous IT, today announced a collaboration with NVIDIA to extend its enterprise-grade endpoint management to NVIDIA's local AI infrastructure - including RTX Spark, NVIDIA's new Windows AI PC platform; DGX Station, NVIDIA's most powerful deskside AI supercomputer; the newly announced DGX Station for Windows, NVIDIA's Windows deskside AI supercomputer; and DGX Spark, NVIDIA's compact AI supercomputer. Enterprises can now manage these AI-class systems with the same real-time visibility, control, and compliance Tanium delivers across the rest of their fleet, closing the gap between what IT expects from every endpoint and what AI compute has left unmanaged until now. As AI compute moves from the data center to the desktop, most management tools haven't kept up. NVIDIA DGX Spark runs on NVIDIA DGX OS, an Ubuntu-based Linux distribution built for AI workloads, outside the Windows and x86 world most enterprise management platforms are built around. As enterprises adopt these AI systems, Tanium extends familiar IT management capabilities to them, giving operators visibility into inventory, running processes, patch status and compliance across their fleet. The Tanium Autonomous IT Platform is named in NVIDIA's official DGX Spark Enterprise Lifecycle Integration Guide and is among the first endpoint management platforms to govern on-device AI agents at both deployment and runtime. Where configuration-push tools stop, Tanium adds real-time query, natural-language workflows, and policy-layer control at fleet scale. The platform was validated on NVIDIA DGX OS, with patching, asset inventory, configuration compliance, and process management working day one, with no custom build required. Support spans DGX Spark and RTX Spark and is expanding to DGX Station and DGX Station for Windows. "NVIDIA's vision for AI compute is bringing a new class of endpoint into the enterprise, including new hardware architectures, new operating systems, and AI agents running locally on all of them," said Harman Kaur, chief technology officer at Tanium. "To manage that infrastructure with confidence, IT and security operators need real-time visibility and control across their entire fleet. Tanium extends that capability to NVIDIA's AI endpoints the same way we have extended it everywhere else. With attacks now moving at machine speed, there's no room for blind spots." At NVIDIA GTC Berlin, Tanium will be announcing the following capabilities validated in lab testing with supported NVIDIA hardware. * Fleet-level consumption monitoring: real-time visibility across the entire fleet into which models are running, how much compute and memory they are consuming, and whether units are operating within expected parameters. * Runtime control: IT and security operators can start, monitor, and kill AI agents automatically when they exceed a defined time or resource threshold, applying policy-layer limits to running processes rather than configuration state alone. * Agent deployment at scale: deploying AI agents as packages or processes across an entire fleet simultaneously via Tanium Deploy. Tanium's linear-chain architecture scales linearly as fleets grow from dozens to thousands of units. Beyond these capabilities, Tanium's platform delivers real-time visibility into process activity and resource utilization - CPU, memory, GPU, and temperature - across the fleet, alongside CIS benchmark hardening and compliance reporting mapped to CIS and NIST frameworks, and continuous software bill of materials (SBOM) tracking across system packages, containers, and language runtimes. Operators get just-in-time privileged access with full session recording for audit, without requiring SSH, and air-gapped deployment support extends these capabilities to regulated environments. Together, these capabilities give IT and security operators a single real-time management experience across AI-class and traditional endpoints, closing the gap between what enterprises expect from every device they own and what AI compute has offered until now. "NVIDIA DGX and RTX platforms bring powerful local AI to enterprise developers and employees, enabling them to build and run AI within their established workflows," said Chris Marriott, vice president of Enterprise Platforms at NVIDIA. "Our collaboration with Tanium extends that integration to IT operations, helping organizations incorporate these platforms into fleet management processes they already use as they deploy AI compute at scale." About Tanium Tanium is the Autonomous IT company. As AI accelerates both innovation and risk, Tanium Atlas, the company's autonomous operating system, puts the full depth of the Tanium Autonomous IT Platform behind every IT and security operator - human and agentic. Tanium provides the real-time intelligence, agentic decision-making, and autonomous execution operators needed to detect, decide, and remediate at machine speed across their endpoint estate. The company is recognized as a Leader in the inaugural 2026 Gartner(R) Magic Quadrant(TM) for Endpoint Management Tools, as a Leader in the IDC MarketScape: Worldwide Client Endpoint Management Software for Windows Device Management 2025-2026 Vendor Assessment, and as a Leader in The Forrester Wave(TM): Endpoint Management Platforms, Q2 2026. To learn how Tanium delivers Autonomous IT for Unstoppable Business, visit www.tanium.com and LinkedIn. Media Contact

Tanium relaunches Security Operations to counter AI attacks. Fri, 9th Oct 2026 (Today) Tanium has relaunched its Security Operations product, positioning the update to address attacks shaped by artificial intelligence. The relaunch focuses on combining detection, response and threat hunting in a single workflow tied to endpoint data already used by IT teams. The product is designed to work alongside existing security information and event management and endpoint detection and response tools, rather than replace them. Tanium argues that attackers are increasingly using stolen credentials and common administrative tools instead of malware, making them harder to detect with systems focused on known malicious files. In response, the updated product looks for unusual behaviour on devices and lets security teams take action across large numbers of endpoints from the same platform. Among the additions is Endpoint Drift, which learns how individual endpoints normally behave and flags machines operating outside those patterns. Tanium also introduced an Insights Engine, replacing its previous process injection detection approach with a system intended to identify attackers hiding inside trusted processes. On the response side, analysts can stop a single process, collect forensic evidence or isolate a host on one machine or across a wider estate. Tanium also introduced a Federated SOC model that allows separate security teams to use one platform while keeping their own suppression settings and automated response rules separate. Hunting focus Another part of the relaunch is Tanium Atlas, which is intended to broaden access to threat hunting beyond specialist teams. Analysts can submit questions in plain language, receive answers from endpoints in seconds and take action within the same interface. Hunt strategies created by Tanium's own threat hunters are built into the workflow. Atlas can also rank alerts and recommend whether analysts should dismiss, escalate, investigate further or contain them, while new dashboards and templates are intended to give teams a starting point. "AI has changed who the attacker is and how fast they move. The next breach won't look like malware. It will look like one of your own administrators," said Harman Kaur, Chief Technology Officer at Tanium. "We have spent years learning what normal looks like on every endpoint our customers run. Now we use that to catch what doesn't belong and stop it everywhere at once. That is what security operations has to become in the AI era," Kaur said. Tanium is also offering HuntIQ, a service that pairs Tanium threat hunters with the same platform and artificial intelligence tools used in the product. According to the company, those teams work inside customer environments to identify threats, refine detections and support incident response. HuntIQ teams can also build hunts before a patch or common vulnerabilities and exposures entry exists. Tanium cited FalconFlank as an example of a zero-day case in which this approach had been used. Market pressure The relaunch comes as security vendors adapt products to address attacks that unfold more quickly and often rely on legitimate tools already present in enterprise environments. That shift has increased the emphasis on near real-time visibility at the endpoint and faster action once suspicious behaviour is identified. Dave Gruber, Chief Analyst at Omdia, said the speed of modern attacks is exposing the limits of many current security operations processes. "The AI-fueled threat landscape has changed the dynamics of security operations," said Dave Gruber, Chief Analyst at Omdia. "Speed is more important than ever before, as attack execution speeds outpace current security operations mechanisms and processes. Agentic capabilities can speed detection and response, but without access to near real-time telemetry and response, agentic SOC capabilities still lag attacker activities. Tanium's approach of grounding detection and hunting in real-time endpoint state addresses one of the most persistent gaps in enterprise SOC architectures." Tanium said the updated Security Operations offering is available now, tying the relaunch to a broader strategy that links endpoint management and security operations through the same underlying platform and data.

Tanium relaunches security platform to counter AI attacks. Wed, 7th Oct 2026 (Yesterday) Tanium has relaunched its Security Operations platform to address attacks that use stolen credentials and standard administrative tools rather than malware. The updated product combines detection, response and threat hunting in a single workflow built on endpoint data already used by IT teams. It is designed to work alongside existing security information and event management and endpoint detection and response products, not replace them. The relaunch reflects a wider shift in cybersecurity as attackers rely less on malicious files and more on legitimate tools already present on corporate machines. That can make intrusions harder to spot because the activity may resemble routine work by internal administrators. One new element, Endpoint Drift, is intended to identify devices behaving outside their normal pattern. Another, Insights Engine, is designed to detect attackers operating inside trusted processes, replacing Tanium's previous process injection detection approach. Response functions have also been expanded so security teams can take action across large numbers of devices. Those actions include stopping a process, gathering forensic evidence and isolating a host on individual machines or across a wider estate. Tanium has also introduced what it calls a Federated SOC model. Under that setup, separate security teams can use the same platform while maintaining different suppression rules and automated response settings for their own environments. Another part of the relaunch focuses on threat hunting, an area often limited to experienced analysts because of the time and skill involved. Tanium said its Atlas tool allows analysts to ask questions in plain language, receive answers from endpoints in seconds and take follow-up action from the same interface. Atlas also prioritises alerts and suggests whether each should be dismissed, escalated, investigated through a hunt or contained. Tanium has added security operations dashboards and templates intended to give teams a starting point for these workflows. Harman Kaur, Chief Technology Officer, Tanium, said the changes were a response to the way artificial intelligence is reshaping attacker behaviour. "AI has changed who the attacker is and how fast they move. The next breach won't look like malware. It will look like one of your own administrators," Kaur said. She added: "We have spent years learning what normal looks like on every endpoint our customers run. Now we use that to catch what doesn't belong and stop it everywhere at once. That is what security operations has to become in the AI era." Market shift Tanium argues that many established security tools were built to identify known malicious files or signatures, while newer attacks may begin with a valid login and spread using built-in administration tools. In response, vendors are placing more emphasis on behaviour-based detection and rapid response tied to live endpoint telemetry. That shift has also driven greater interest in automation inside security operations centres, particularly as teams face large alert volumes and pressure to respond more quickly. Tanium is positioning its updated platform around that demand while stressing that automated actions remain governed by user-defined rules. External analysts broadly share the view that the operational tempo of attacks has increased. Dave Gruber, Chief Analyst, Omdia, said, "The AI-fueled threat landscape has changed the dynamics of security operations." He continued: "Speed is more important than ever before, as attack execution speeds out pace current security operations mechanisms and processes. Agentic capabilities can speed detection and response, but without access to near real-time telemetry and response, agentic SOC capabilities still lag attacker activities. Tanium's approach of grounding detection and hunting in real-time endpoint state addresses one of the most persistent gaps in enterprise SOC architectures." Services link Alongside the platform update, Tanium is also highlighting HuntIQ, a service that pairs its threat hunters with customer environments. The company said those specialists use the same platform and artificial intelligence tools to search for threats, improve detections and support incident response. Tanium said lessons from that work are fed back into the product, including hunts created before a patch or common vulnerability and exposure reference is available. It cited its response to the FalconFlank zero-day as an example of that model. The relaunch underlines how endpoint-focused vendors are trying to move beyond device management and traditional detection by tying together visibility, investigation and remediation. For security teams, the key test will be whether those integrated workflows reduce response times without adding to the operational burden of already crowded toolsets. The updated Security Operations offering is available now.