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 for AI stewards to manage, monitor, and govern AI assets within the enterprise. The Australia release enhances capabilities around AI asset security, lifecycle management, AI system classification, and integrations with external AI providers and platforms. It supports managing both managed and unmanaged AI assets, improving visibility into AI operations and compliance.
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Key Features
- AI Asset Security Score Customization: Customize the AI asset security score based on your organization’s security priorities using new metrics that detect potential security and content policy violations, PII exposure, and other threats in AI outputs.
- Expanded Monitoring and Visualization: New dashboards track MCP client-server interactions, agent goal deviations, output screening, and access attempts via AI Gateway.
- Agentic AI Lifecycle Management: Track and manage the end-to-end lifecycle of agentic AI systems, including onboarding, deployment, and offboarding, to optimize system longevity and cost.
- Intended Use and Risk Assessment: Define and document the intended use and purpose of AI systems to assess benefits and risks, supporting regulatory compliance through integrated risk assessment methodologies.
- AI Asset Categorization: Classify AI assets as managed or unmanaged, with managed assets gaining governance, lifecycle, and security capabilities within AI Control Tower.
- AI Connections via Service Graph Connectors (SGC): Integrate AI agents and frameworks from hyperscalers and platforms such as AWS, Microsoft Azure, Google Cloud Platform, Salesforce, and more, enabling discovery and import into AI Control Tower.
- Publishing ServiceNow Agents to Microsoft Agent 365: Publish ServiceNow AI agents to external registries for extended operational use.
- User Interface Enhancements: Improved asset association workflows with dropdown menus to add from inventory or create new related assets, and editable asset detail fields directly within AI asset records.
- Licensing Tiers: Three AI platform tiers (Foundation, Advanced, Prime) provide varying access levels to AI features, agents, and workflows based on customer entitlements.
Key Outcomes for ServiceNow Customers
- Enhanced AI Governance and Security: Tailor AI asset security scoring and monitoring to your organization’s unique requirements, helping mitigate risks related to data privacy, compliance, and AI output integrity.
- Improved AI Asset and System Management: Manage AI assets and agentic systems throughout their lifecycle, improving oversight, reducing downtime, and optimizing costs.
- Regulatory Compliance Support: Leverage integrated risk assessment and compliance features that automatically populate impact assessment fields to streamline AI system intake and ongoing evaluation against emerging AI regulations.
- Seamless Integration with AI Ecosystem: Utilize Service Graph Connectors to connect with major AI service providers and platforms, centralizing AI asset management and enhancing operational visibility.
- Flexible Deployment and Usage: Publish ServiceNow agents externally and customize AI asset management workflows to fit organizational processes, enhancing AI adoption and operational efficiency.
- Accessibility and Localization: AI Control Tower supports all browsers, platform accessibility features, and is localized for global customer use.
Activation and Related Information
AI Control Tower is available via the ServiceNow Store. Activation requires requesting installation from the store. New plugins introduced support AI connections and Service Graph Connectors for enhanced integration capabilities.
For customers leveraging AI Risk and Compliance, Strategic Planning, or Goal Framework applications, AI Control Tower integrates to provide enhanced AI strategy, risk management, and goal tracking capabilities within the workspace.
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.
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.
- Australia Patch 3
- AI record type label
- The AI assets (sn_grc_ai_gov_ai_system) table has been renamed to AI records (sn_grc_ai_gov_ai_system). The Record type field on AI system, AI model, and dataset records in the AI Control Tower inventory now displays AI record instead of the previous asset-specific labels.
Changed in this release
- Australia Patch 3
- Additional regulatory frameworks in the AI Risk and Compliance content pack
- After AI Risk and Compliance is updated to version 22.3.0 and the new frameworks are activated, authority documents, agency mappings, and citations for the Transparency in Frontier Artificial Intelligence Act (SB 53) and the Colorado Artificial Intelligence Act (SB 205) appear in the compliance posture and related views on the Risk and compliance tab. For more information, see AI Risk and Compliance release notes, AI Risk and Compliance Content Pack, Activate or update the Transparency in Frontier Artificial Intelligence Act (SB 53), and Activate or update the Colorado Artificial Intelligence Act.
- Impact assessment field auto-population
- After upgrading to version 22.3.5, if you have the AI asset owner [sn_ai_asset_mgmt.ai_asset_owner] or AI risk and compliance business user [sn_grc_ai_gov.ai_risk_and_compliance_business_user] role, the screening question responses that capture the AI system's intended use and operational context from the Use and Purpose section of the AI use case request form are automatically populated in the corresponding Use and Purpose fields of a new impact assessment. This synchronization reduces manual entry and helps ensure that impact assessment responses are consistent with the information submitted at intake. For more information, see AI Risk and Compliance release notes and Intake requests.
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.