ServiceNow Expands AI Control Tower: Enabling Detection, Monitoring, Governance, Protection, and Measurement of AI Deployed Across All Systems in an Organization
ServiceNow announced the expansion of its AI Control Tower at its annual customer and partner event, 'Knowledge 2026'. This enhancement enables the detection, monitoring, governance, protection, and measurement of AI systems deployed across all systems within an organization, strengthening AI adoption and management.
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- 📰 Published: May 8, 2026 at 05:20
- 🔍 Collected: May 7, 2026 at 21:02
- 🤖 AI Analyzed: May 7, 2026 at 21:35 (33 min after Collected)
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*This document is an abridged translation of a press release issued by ServiceNow, Inc. (USA) on May 5, 2026 (US time).*
ServiceNow (NYSE: NOW), the "AI Control Tower" for business transformation, today announced enhancements to its "AI Control Tower" at "Knowledge 2026," ServiceNow's annual customer and partner event. These new capabilities allow for the control of any AI system, agent, and workflow, regardless of its execution environment.
First announced at "Knowledge 2025," the AI Control Tower has evolved from a visualization and management phase into a comprehensive, end-to-end solution that empowers customers to act with confidence across the following five dimensions:
**Detection:** Detects AI assets (including non-ServiceNow systems) deployed across the organization through 30 new enterprise integrations spanning Amazon Web Services (AWS), Google Cloud, and Microsoft Azure, as well as enterprise applications like 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 assessments 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 European AI Act.
**Protection:** Extends identity access governance to hyperscaler AI environments and all connected devices through integration with Veza. It introduces patented access graph technology, scoped permissions, and the application of 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: the increasing cost of model usage.
This approach is supported by 20 years of enterprise operational data accumulated through 100 billion workflows and 7 trillion workflow transactions annually. It is also built upon 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 any agent. No standalone 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.
*This document is an abridged translation of a press release issued by ServiceNow, Inc. (USA) on May 5, 2026 (US time).*
ServiceNow (NYSE: NOW), the "AI Control Tower" for business transformation, today announced enhancements to its "AI Control Tower" at "Knowledge 2026," ServiceNow's annual customer and partner event. These new capabilities allow for the control of any AI system, agent, and workflow, regardless of its execution environment.
First announced at "Knowledge 2025," the AI Control Tower has evolved from a visualization and management phase into a comprehensive, end-to-end solution that empowers customers to act with confidence across the following five dimensions:
**Detection:** Detects AI assets (including non-ServiceNow systems) deployed across the organization through 30 new enterprise integrations spanning Amazon Web Services (AWS), Google Cloud, and Microsoft Azure, as well as enterprise applications like 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 assessments 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 European AI Act.
**Protection:** Extends identity access governance to hyperscaler AI environments and all connected devices through integration with Veza. It introduces patented access graph technology, scoped permissions, and the application of 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: the increasing cost of model usage.
This approach is supported by 20 years of enterprise operational data accumulated through 100 billion workflows and 7 trillion workflow transactions annually. It is also built upon 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 any agent. No standalone 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.