ServiceNow clears agents for landing with new AI control tower

2026-05-05 · Source: The Register: Enterprise Technology News and Analysis · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy, Cloud Computing & IT Infrastructure · Depth: Intermediate, short

Summary

ServiceNow has significantly expanded its AI Control Tower, transforming it from a governance dashboard into a comprehensive enterprise AI command center, shipping with the Australia platform release. This updated system now operates across discovery, observation, governance, security, and measurement, addressing AI agent sprawl by managing AI assets, models, agents, prompts, and datasets across an organization's entire technology estate, including major hyperscalers like AWS, Google Cloud, and Microsoft Azure, as well as enterprise applications such as SAP and Oracle. The expansion integrates technology from recent acquisitions, Veza and Traceloop, to provide patented access graph technology for identity access governance and deep AI observability with continuous runtime monitoring. Additionally, the AI Control Tower now includes cost tracking and ROI dashboards to monitor token consumption across providers like OpenAI and Anthropic, helping finance teams predict costs and tie spending to business outcomes. ServiceNow also introduced Action Fabric, which opens its workflow engine to external AI agents, allowing them to trigger governed enterprise actions, with Anthropic's Claude being the first design partner.

Key takeaway

For CTOs and VPs of Engineering grappling with AI agent sprawl and escalating costs, ServiceNow's expanded AI Control Tower offers a unified solution. You should evaluate its capabilities for comprehensive AI asset discovery, robust security, and precise cost tracking across your multi-cloud and enterprise application landscape. This platform aims to centralize governance and provide critical financial visibility, enabling more strategic and secure AI deployments without increasing headcount.

Key insights

ServiceNow's AI Control Tower now offers comprehensive enterprise-wide AI asset management, security, and cost tracking.

Principles

• AI governance must span the entire enterprise estate.
• Automated threat detection and response are critical for AI agents.
• Cost visibility is essential for scaling AI deployments.

Method

The AI Control Tower uses access graph technology (Veza) for identity governance and deep observability (Traceloop) for continuous runtime monitoring, enabling automated detection and response to threats like prompt injection attacks.

In practice

• Monitor AI assets across hyperscalers and enterprise apps.
• Track token consumption from various LLM providers.
• Integrate external AI agents with governed enterprise workflows.

Topics

• AI Control Tower
• AI Governance
• Identity Access Governance
• AI Observability
• AI Cost Tracking

Best for: CTO, VP of Engineering/Data, Executive, Director of AI/ML, AI Architect, MLOps Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Register: Enterprise Technology News and Analysis.