AI Control Tower release notes
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Summary of AI Control Tower Release Notes - Australia Release
The ServiceNow® AI Control Tower application offers a centralized workspace designed for AI stewards to manage, monitor, and govern AI assets and systems within the enterprise. The Australia release enhances AI Control Tower with new features focused on security, lifecycle management, AI asset classification, and integration capabilities. This release supports better governance and operational control over AI across your organization.
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Key Features
- Security & Privacy Enhancements: Customize AI asset security score calculations based on weighted LLM guardrail categories, monitor model outputs for security and content policy violations, potential PII exposure, and other threats using new detection charts. The security and privacy tab consolidates related metrics for easier monitoring.
- Lifecycle Management for Agentic AI Systems: Track and manage the full lifecycle of agentic AI systems—from onboarding through deployment—to optimize uptime, licensing costs, and operational efficiency.
- AI Asset Classification and Management: Categorize AI assets (models, systems, prompts, datasets, MCP servers) as managed or unmanaged, enabling governance and lifecycle controls only for managed assets.
- AI Connections via Service Graph Connectors (SGC): Integrate AI agents and services from major providers (e.g., AWS, Microsoft Azure, Google Cloud) and import agents from Databricks environments, facilitating unified AI asset discovery and management.
- AI Gateway Enhancements: Gain visibility into MCP client-server interactions routed through the AI Gateway, including authorized and failed access attempts, improving security oversight.
- Publishing and Integration: Publish ServiceNow agents to Microsoft Agent 365 registries to extend AI agent deployment capabilities.
- Improved User Interface: Simplified association of AI assets via dropdown menus, editable asset details directly in asset records, and consolidated related asset lists for enhanced usability.
- AI Platform Licensing Tiers: Three tiers (Foundation, Advanced, Prime) provide graduated access to AI capabilities ranging from basic insights to autonomous AI asset creation and management, aligned with your organization’s entitlements.
- Regulatory Compliance Updates: Added support for new regulatory frameworks such as the Transparency in Frontier Artificial Intelligence Act and the Colorado Artificial Intelligence Act, with compliance posture visibility and automated impact assessment synchronization.
Practical Benefits for ServiceNow Customers
- Enhanced Security Monitoring: Tailor security scoring and leverage detailed metrics to detect and mitigate risks from AI outputs and interactions, aiding compliance and data protection efforts.
- Comprehensive Lifecycle Governance: Manage AI systems end-to-end to maximize operational efficiency, reduce downtime, and ensure adherence to organizational policies.
- Centralized AI Asset Visibility: Classify and associate AI assets systematically to streamline asset management and governance workflows.
- Seamless Integration: Connect and manage AI services through standardized connectors, enabling a cohesive AI ecosystem across multiple platforms and providers.
- Regulatory Alignment: Keep pace with evolving AI regulations through integrated compliance tools and automated risk assessments, reducing manual efforts and improving governance accuracy.
- Flexible Licensing: Select AI capabilities matching your organizational needs and maturity, allowing scalable adoption of AI technologies within your ServiceNow environment.
Activation and Compatibility
AI Control Tower is available for installation via the ServiceNow Store. It supports all modern browsers and includes accessibility and localization features to meet diverse user needs. New plugins support AI connections and Service Graph Connector functionality.
Related Applications
- AI Risk and Compliance: Integrates with AI Control Tower to help verify organizational AI compliance with regulatory policies.
- Strategic Planning and Goal Framework: When installed, these applications provide AI strategy tracking and goal management capabilities within the AI Control Tower workspace, enhancing alignment between AI initiatives and business objectives.
This release enables ServiceNow customers to effectively govern AI assets, ensure security and compliance, and optimize AI system utilization across their enterprises.
The ServiceNow® AI Control Tower application provides a centralized workspace for AI stewards to manage and monitor AI within the enterprise. AI Control Tower was enhanced and updated in the Australia release.
AI Control Tower highlights for the Australia release
Australia Patch 1
- Customize the AI asset security score calculation to reflect your security requirements.
- Use new security metrics to monitor your LLM and AI agent output for potential security and content policy violations, potential PII, and other potential threats.
- Gain visibility into MCP client-server interactions routed through this instance's AI Gateway.
- Configure and create automation rules to set AI assets as managed assets.
- Manage the end-to-end life cycles of your agentic AI systems.
- Define the intended use and purpose of an AI system so that you can determine its benefits and risks.
- In
Early availability
- AI assets—including AI models, AI systems, prompts, datasets, and MCP servers can be categorized as either managed or unmanaged.
- AI connections are introduced in AI Control Tower using Service Graph Connectors (SGC).
- The AI model providers supported by ServiceNow contains providers such as Now LLM Service, AWS Claude, Now LLM LTS model, and so on.
- The AI model providers configured by your organization contains providers such as Perplexity, IBM Watson, and so on.
- AI Gateway offers Global MCP clients, which once created can be used across all MCP servers.
- A Gateway offers MCP Catalog to choose while adding MCP servers into AI Control Tower.
For more information on AI Control Tower, see AI Control Tower.
Important:
AI Control Tower is available in the ServiceNow Store. For details, see the "Activation information" section of these release notes.
Important information for upgrading AI Control Tower to Australia
Not applicable.
New in the Australia release
- Australia Patch 2
- Publish ServiceNow agents to Microsoft Agent 365
- Publish the ServiceNow Agents to Microsoft Agent 365 ensuring the ServiceNow agents are sent to external registries.
- Australia Patch 1
- Security & privacy tab in AI Control Tower
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- Customize the AI asset security score by weighting LLM guardrail categories that comprise the score. The score formula was changed to an average across all AI assets. The score was renamed to the AI asset security score.
- Measure whether your model's output or behavior potentially violates predefined LLM guardrail policies using the Data integrity incident detection chart.
- Review potential threats in AI agent output in Agent goal deviation, output with PII detected, and Agentic output injection detection charts.
- Monitor MCP server access by AI Gateway with these new charts: Clients connecting to MCP servers, authorized access attempts, and failed access attempts.
- The Prompt injection, Offensive content, and Sensitive data tabs have been removed and replaced by the Access and Guardrails tabs. Metrics have been reorganized into those two tabs.
- In Configurations, under Data, the Data privacy tab was renamed to Security & privacy. In that tab, the data leak detection and anonymization section was renamed to sensitive data input and anonymization.
- Data section on Configurations page
- Enable and set up data integrity incident detection, agent goal deviation, and output screening metrics. These metrics measure the integrity of your data model and potential threats in LLM output.
- Manage agentic AI system life cycles
- Create AI system assets to track and manage the complete life cycles of your agentic AI systems, from onboarding to deployment. Gain comprehensive insight into each agentic AI system and take any necessary actions to successfully complete each life-cycle stage. By managing the life cycles of your agentic AI systems, you can extend their lifespans, reduce downtime, and optimize licensing costs.
- Define the use and purpose of an AI system
- Specify the intended use and purpose of an AI system. Provide insight into who is using the AI system, what the AI system is being used for, and how the AI system works and provides value. This information can help you determine the benefits and risks that are associated with the AI system. For more information on classifying AI systems based on regulatory risk at intake by applying a configured Risk Assessment Methodology (RAM), see, AI Risk and Compliance release notes Assessment templatesand Risk assessment methodologies.
- Associate additional related AI asset types with AI systems
- Associate the following additional related AI asset types with your AI systems:
- If an AI system has an Asset type of Generative AI or Agentic AI, you can associate it with any of its supported components or subsystems.
- If an AI system has an Asset type of Agentic AI, you can associate it with any of its integrated AI tools.
- Create change and offboarding requests for additional AI asset types
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Create change requests for the following additional AI asset types:
- AI systems with an Asset type of Agentic AI
- Datasets
In addition, create offboarding requests for the following additional AI asset types:- AI systems with an Asset type of Agentic AI
- AI models
- Datasets
- MCP servers
- ServiceNow product tiers
- The ServiceNow AI Platform now brings you a new AI experience with three licensing tiers available:
- Foundation: AI basics to deliver insights
- Advanced: AI to boost productivity across relevant use cases
- Prime: Act autonomously with all AI assets and create your own
Depending on your entitlements, you will have access to certain application features, generative AI skills, agentic workflows, and AI agents.
- Early availability
- AI connections
- AI connections are created using AI Service Graph Connectors. AI connections are a combination of hyperscalers, AI apps, and agentic AI frameworks.
- Managed and unmanaged AI assets
- Managed assets benefit from AI Control Tower features such as governance, lifecycle management, value assessment, risk classification, security, and privacy. Unmanaged assets, on the other hand, do not have access to these AI Control Tower capabilities.
- AI Gateway
- AI Gateway offers MCP Global Clients, which can be used across all servers.
UI changes
- Australia Patch 1
- Drop-down menu for associating AI assets with related assets
- In both the AI asset creation forms and AI asset records, the Add new button that previously enabled you to associate AI assets with other related assets has changed into an Add from inventory drop-down menu with the Add from inventory and Create options. The Add from inventory menu option enables you to associate AI assets with related assets that are currently available in your asset inventory. The Create menu option enables you to associate AI assets with related assets that are not currently available in your asset inventory.
- Editable asset details fields on the Details tab of AI asset records
- You can now modify asset details fields directly on the Details tab of your AI asset records.
- Related asset lists in AI asset records
- The lists of related assets in each AI asset record has moved from the Related assets tab to the Details tab.
Changed in this release
Removed in this release
Australia Patch 1 The Autonomous vs. supervised AI tools chart has been removed from the Security & privacy tab.
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Adding legacy AI connections via Service Graph Connectors (SGC) is deprecated. In AI connections, under Legacy connections, the New button has been removed to block users from creating new connections using SGC.
Deprecated features
- The ability to add hyperscalers from the AICT configuration section is no longer available. You can find any previously created hyperscaler connections in the AI connections section, under Legacy connections.
Activation information
Install AI Control Tower by requesting it from the ServiceNow Store. Visit the ServiceNow Store to view all the available apps, and for information about submitting requests to the store. For cumulative release notes information for all released apps, see the ServiceNow Store version history release notes.
Plugin information
- New plugins
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The following plugins are new in Australia:
- com.sn_ai_disc - Enables the AI connections page in the AI Control Tower configuration.
- sn_sgc_central - Enables the Service Graph Connector (SGC) feature in the AI connections page.
Browser requirements
The AI Control Tower application supports all browsers.
Accessibility information
The AI Control Tower application supports all platform accessibility features.
Localization information
The AI Control Tower application is localized.