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By Asma Adhimi
ServiceNow is expanding its partnership with NVIDIA to bring governance and security controls to autonomous AI agents running across enterprise desktops and data center infrastructure.
Announced at the company’s Knowledge 2026 event in Las Vegas, the move introduces Project Arc, a desktop-based autonomous AI agent designed to complete complex enterprise tasks while operating inside a governed and auditable environment. The companies are also extending ServiceNow’s AI Control Tower into NVIDIA’s Enterprise AI Factory infrastructure and launching open benchmarking tools for enterprise AI agents.
Project Arc is positioned as an enterprise autonomous desktop agent capable of writing code, executing tasks, and adapting to changing conditions without relying on pre-built workflows. According to ServiceNow, the agent can work across enterprise applications and systems while remaining under strict governance controls.
The runtime environment is secured through NVIDIA OpenShell, which provides sandboxing and policy-based management for autonomous AI activity. ServiceNow AI Control Tower monitors and governs the agent’s actions, including files accessed, commands executed, and APIs called.
“ServiceNow and NVIDIA set out to make AI real for the enterprise, and today we’re showing the proof of that work,” said Joe Davis, executive vice president of AI Engineering & Delivery at ServiceNow. “Whether it’s autonomous AI agents that can be trusted on the desktop, governance that extends to the data center, or open benchmarks that hold the entire industry accountable, this is enterprise AI that’s built to last.”
The agent is built on ServiceNow Action Fabric and integrates with the company’s CMDB platform to access enterprise workflows, operational history, and system data. ServiceNow says Project Arc can be accessed through desktop applications, collaboration tools, or email interfaces.
The companies are also extending governance into AI infrastructure itself through integration between ServiceNow AI Control Tower and the NVIDIA Enterprise AI Factory validated design.
The integration provides oversight for AI model workloads running in enterprise data centers, covering model discovery, inventory management, observability, compliance monitoring, and remediation. Additional capabilities include regulatory content packs, cloud access mapping, and frameworks for tracking runtime costs and productivity gains.
“Long-running, autonomous agents are rapidly changing the game for enterprise AI, and delivering them securely at scale requires governance that spans models, software and AI infrastructure,” said Kari Briski, vice president of Generative AI for Enterprise at NVIDIA.
Alongside the infrastructure announcements, the companies are advancing NOWAI-Bench, an open-source benchmarking suite for evaluating enterprise AI agents.
The suite includes EnterpriseOps-Gym for testing multi-step workflows in IT service management, customer service, and HR applications, as well as EVA-Bench for evaluating enterprise voice agents. NVIDIA plans to integrate both frameworks into its NeMo Gym platform for broader automated model evaluation.
Project Arc is currently available as an early preview, while the AI Control Tower integration with NVIDIA Enterprise AI Factory is generally available.
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