0
1.9.2
Australia Patch 6, Australia Patch 5, Australia Patch 4, Australia Patch 3, Australia Patch 1
Generative AI
ServiceNow AI Control Tower is a centralized enterprise governance and visibility workspace. It helps organizations discover, govern, secure, observe, and measure all AI assets—including internal models and third-party agents.
- AI Control Tower: Single pane view of AI footprint in the organization with actionable insights for governance and control.
- Centralized AI asset inventory: Centralized information about AI systems, AI models, prompts, MCP servers and datasets, and their relationships.
- Discover: Automatically discover AI across the enterprise—hyperscalers, SaaS platforms, dev platforms. Also supports automated discovery of Now Assist skills and ServiceNow deployed models.
- Govern:Establish AI strategy, manage risk and lifecycle, deploy and enforce integrated controls, and demonstrate compliance. Connect AI investments to business outcomes and automate EU AI Act, NIST AI RMF with continuous governance, not periodic audits.
- Secure: Track AI access, security posture metrics, and guardrails—taking action through automated workflows while maintaining control across the entire AI landscape. Analyze exposure, prompt injections,
- Observe: Continuously monitor and evaluate AI agents' performance through metrics and log traces. Quality and safety scoring feeds value calculations.
- Measure: Quantify AI's business impact with comprehensive metrics tracking adoption rates, realized value, and ROI.
- AI Native platform experience: Built-in AI insights and recommendations that drives action not just reporting
AI Control Tower adds new capabilities across discovery, governance, security, monitoring, and measurement of AI usage.
Inventory and Discovery
- Block AI services detected through ACC.
- An AI Inventory Enrichment Agent scans your inventory for incomplete records and suggests values to fill the gaps.
- New and enhanced connectors extend discovery to Microsoft Agent365, Azure AI Foundry, Copilot, and AWS.
Govern
- Discovered AI systems are now risk-classified at the point of discovery, before they enter the managed workflow.
- An AI Risk & Control Applicability Advisor recommends the most relevant risks and controls for each system, with rationale.
- Dynamic Playbook 2.0 tailors onboarding tasks to an asset's risk classification.
- ServiceNow-managed AI agents can now be published to Microsoft Agent365 and other external registries.
Secure
- AI agent containment can be triggered automatically based on authored policies in the AI Control Tower, removing the need for manual intervention. Support is extended to Azure AI Foundry for agent runtime and Gemini Enterprise Agent Platform (via Okta integration).
- Design-time security now covers AI agents, tools, MCP servers, and system prompts, not just AI models.
- The Veza connector now uses OAuth 2.0 for authentication.
Monitor
- Configure trace data retention to fit your needs.
- View new latency and token-usage visualizations.
- Set evaluation metrics at the asset level.
- Use custom date ranges of up to 18 months for evaluation data.
Measure
- Product owners can now view and work with just the AI systems and metrics that matter to them.
Foundations
Domain separation is available across AI Control Tower, enabling MSP and multi-tenant deployments with isolated inventories, security posture, and value data for each tenant.
For full details, see AI Control Tower release notes.
Not applicable for this application version.
Requires platform version Brazil or Australia Patch 6