ServiceNow Expands AI Control Tower: Enabling Detection, Monitoring, Governance, Protection, and Measurement of AI Deployed Across All Systems in an Organization

AI-native experiences, voice capabilities, and intelligent approval processes visualize where AI creates the most value and embed it directly into workflows.

*This material is an abridged version of a press release announced by ServiceNow, Inc. in the United States on May 5, 2026 (US time).*

ServiceNow (NYSE: NOW), the "AI Control Tower" for business transformation, today announced the expansion of its "AI Control Tower" capabilities at "Knowledge 2026," ServiceNow's annual customer and partner event. These new features will enable control over all AI systems, agents, and workflows, regardless of their execution environment.

First announced at "Knowledge 2025," the AI Control Tower has evolved from a stage of visibility and management into a comprehensive, end-to-end solution that empowers customers to confidently take action across the following five aspects:

**Detection**: Detects AI assets (including non-ServiceNow systems) deployed across the organization through 30 new enterprise integrations across Amazon Web Services (AWS), Google Cloud, and Microsoft Azure, as well as enterprise applications such as SAP, Oracle, and Workday. This detection capability also extends to non-human identities and connected devices, integrating OT and IoT assets into the same governance model as AI agents and cloud services.

**Monitoring**: Provides continuous monitoring with live metrics and live alerts, replacing periodic audits for ROI analysis. With the recently completed acquisition of Traceloop, AI Control Tower now offers deep observability into the runtime behavior of AI agents. This allows teams to understand how agents reason, where they make decisions, and when course correction is needed.

**Governance**: Offers AI-driven risk assessment for all types of AI, including agents, models, datasets, prompts, and traditional machine learning. Compliance management is standard with five new risk frameworks aligned with standards from NIST (National Institute of Standards and Technology) and the EU AI Act.

**Protection**: Extends identity access governance to hyperscaler AI environments and all connected devices through integration with Veza. It applies patented access graph technology, scoped permissions, and the principle of least privilege to all AI systems, agents, and identities. If an agent deviates from prescribed behavior or acts beyond its permissions, AI Control Tower can detect and stop it in real-time. As agents take on more critical tasks, an emergency stop function becomes essential for organizations.

**Measurement**: Provides cost tracking and ROI dashboards, enabling financial management as AI scales up. This addresses one of the most critical challenges organizations face with expanding AI adoption: increasing model utilization costs.

This approach is underpinned by 20 years of enterprise operational data accumulated through 100 billion workflows and 7 trillion workflow transactions annually. It is also built upon the ServiceNow CMDB and Context Engine, designed to map digital assets to the services, people, and processes they support. Organizations can detect signals across their digital assets, make decisions based on live business context, execute actions through autonomous workflows, and protect the actions of every agent. No single governance tool can replicate this. In addition to existing integrations with Anthropic and OpenAI, ServiceNow also announced deeper collaboration with AWS, Microsoft, NVIDIA, and other LLM providers within AI Control Tower. This extends governance and observability across the infrastructure that enterprises trust most. For example, ServiceNow AI Control Tower leverages NVIDIA Enterprise AI Framework for agent observability.