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Zurich
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AI Control Tower highlights in Zurich patch 13:
- Detect unsanctioned AI usage across your enterprise and apply policies to control it.
- Apply policies to block AI activity and respond to AI threats.
- Add evaluation metrics for a specific AI system without changing your organization's global metric configuration.
- Discard session, trace, and span data to reduce storage usage, while retaining quality and safety scores.
- Use AI Control Tower on a domain-separated instance.
- Starting in the September 2026 release, AI Gateway is available in AI Control Tower.
- The MCP and CIMD registered clients can be edited to update their configuration from the AI Gateway Setup tab.
- The AI Gateway proxy URL format has changed. The new format is:
`https:///sncapps/aigw/mcp/`
Previously, the URL format was:
`https:///sncapps/awh//mcp`
AI Control Tower highlights in [Zurich Patch 11](https://www.servicenow.com/docs/access?context=zurich-patch-11&family=zurich&ft:locale=en-US):
- Manage your AI governance work in a redesigned AI Control Tower experience that lets you find information and complete tasks using natural language.
- Resolve important issues using auto-generated recommendations and AI insights that direct your attention to the AI governance work that matters most.
- Detect quality and safety regressions in AI systems before they escalate, using automated scoring and trend analysis for AI interactions in production.
- Use ServiceNow Otto premium chat in AI Control Tower for a better conversational experience with unified search and chat capabilities, including integrated web search and file uploads.
- Contain rogue AI agents by using kill switch protocol to limit damage, preserve your security posture, and provide business continuity for your users.
- Make a managed AI agent discoverable to external systems by publishing it to the External Registry. The Microsoft integration provides two methods to publish an agent so that Microsoft can discover it.
- Publish agents from the AI asset record page.
- Publish agents while onboarding an asset.
- Detect AI assets in your inventory that perform the same function using deduplication. Deduplication enables AI stewards to review and consolidate redundant entries instead of governing them independently.
- ServiceNow Otto is the new AI experience brand. This change is reflected in AI Control Tower. Your product entitlements remain unchanged. Check your entitlements to determine your access to specific features.
- The AI Control Tower home page includes a Guided Setup widget that walks you through the initial configuration of AI Control Tower.
- AI Service Graph Connectors integrate with AI Control Tower to create AI connections for discovering AI assets and tracking data usage. For information about connectors, prerequisites, and the configuration process, see [AI Control Tower- AI Discovery Connectors \[KB2986990\]](https://support.servicenow.com/kb_view.do?sysparm_article=KB2986990) article in the Now Support Knowledge Base.
- AI Service Graph Connectors and versions available for August 2026 release:
- AI Service Graph Connector for Microsoft \(version 3.1.6\)
- AI Service Graph Connector for GCP Vertex AI \(version 1.2.3\)
- AI Service Graph Connector for Anthropic \(version 2.0.6\)
AI Control Tower \(legacy\) highlights in [Zurich Patch 8](https://www.servicenow.com/docs/access?context=zurich-patch-8&family=zurich&ft:locale=en-US): Configure and create automation rules to set AI assets as managed assets.
AI Control Tower \(legacy\) highlights in [Zurich Patch 7](https://www.servicenow.com/docs/access?context=zurich-patch-7&family=zurich&ft:locale=en-US):
- 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.
- AI assets—Including AI models, AI systems, prompts, datasets, and MCP servers can be categorized as either managed or unmanaged. 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, don’t have access to these AI Control Tower capabilities.
- AI connections are introduced in AI Control Tower using Service Graph Connectors. AI connections are a combination of hyperscalars, AI apps, and agentic AI frameworks. The AI Service Graph Connectors available from March 2026:
- [AWS](https://www.servicenow.com/docs/access?context=aws_0&family=zurich&ft:locale=en-US)
- [Microsoft](https://www.servicenow.com/docs/access?context=microsoft&family=zurich&ft:locale=en-US)- Azure Foundry and Copilot
- [Google Cloud Platform \(GCP\) Vertex AI](https://www.servicenow.com/docs/access?context=gcp-vertex-ai&family=zurich&ft:locale=en-US)
- [n8n](https://www.servicenow.com/docs/access?context=n8n&family=zurich&ft:locale=en-US)
- [LangGraph](https://www.servicenow.com/docs/access?context=langgraph&family=zurich&ft:locale=en-US)
- [Salesforce](https://www.servicenow.com/docs/access?context=salesforce&family=zurich&ft:locale=en-US)
- 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.
- AI Gateway offers MCP Global Clients, which can be used across all servers.
- AI Gateway offers MCP Catalog to choose while adding MCP servers.
- MCP server can be added to an AI Asset inventory from AI Control Tower.
AI Control Tower \(legacy\) highlights in [Zurich Patch 5](https://www.servicenow.com/docs/access?context=zurich-patch-5&family=zurich&ft:locale=en-US): Review changes to Now Assist usage measurement.
AI Control Tower \(legacy\) highlights in [Zurich Patch 4](https://www.servicenow.com/docs/access?context=zurich-patch-4&family=zurich&ft:locale=en-US):
- Identify ServiceNow® AI assets that impact your security posture using the ServiceNow® AI security score and AI insights.
- Access and monitor security for AWS Bedrock agents running as privileged users, autonomous vs. Supervised tools, and dormant agents.
- Monitor sensitive data detection, prompt injection, and offensive content metrics to help identify and mitigate AI-driven security and compliance risks before they impact workflows or expose sensitive information.
- See more details in the access map about agent access issues to help you troubleshoot quickly.
- Audit logs capture configuration changes made on Data, Approvals, and AI model providers categories.
- Discover AI assets built and deployed in Google Cloud Platform \(GCP\) Vertex AI, Copilot Studio, and Azure AI Foundry.
- AI Gateway enables enterprises to actively manage, govern, and observe their MCP traffic, ensuring secure operation of agentic workflows across enterprise boundaries.
AI Control Tower \(legacy\) highlights in [Zurich Patch 1](https://www.servicenow.com/docs/access?context=zurich-patch-1&family=zurich&ft:locale=en-US):
- Monitor the performance of guardrails enabled through AI Guardian using the **Health** tab.
- Measure and improve the quality of interactions with virtual agents using the **Evaluation** tab.
- Display data based on the chosen allowed model providers and the status of the fallback in the Impact Summary table on the AI model providers section.
- Synchronize AI agents automatically when an AI asset is synchronized.
AI Control Tower \(legacy\) highlights in Zurich:
- Enhance the Product Owner experience with a personalized home page, value management tools to manage AI investments, and enhanced visibility into AI assets to simplify task management.
- Evaluate AI productivity and adoption across the enterprise using defined value metrics and performance indicators to drive data-informed decisions and maximize AI impact.
- Access and security monitoring for ServiceNow® AI agents, especially around access issues, agents running as privileged users and dormant agents.
- Discover AI assets built and deployed in AWS Bedrock and Azure Foundry.
- Enable choice for third-party model providers powering ServiceNow® skills and agents.
- Access to aggregated risk scores to improve decision-making, manage risks, and help to promote ethical and transparent AI practices.
- Monitor performance, track progress, and make informed decisions related to your AI strategies, goals, targets, and the associated work from the **AI strategy** tab.
- Track costs of your AI projects, epics, demands, and track key project risks, issues, decisions, actions, and changes from the **AI strategy** tab.
For more information on the new AI Control Tower experience, see [AI Governance](https://www.servicenow.com/docs/access?context=aict-landing&family=zurich&ft:locale=en-US).
For more information on the legacy AI Control Tower experience, see [AI Governance \(legacy\)](https://www.servicenow.com/docs/access?context=ai-control-tower-landing&family=zurich&ft:locale=en-US).
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Australia
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AI Control Tower highlights in Australia patch 6:
- Detect unsanctioned AI usage across your enterprise and apply policies to control it.
- Apply policies to block AI activity and respond to AI threats.
- Add evaluation metrics for a specific AI system without changing your organization's global metric configuration.
- Discard session, trace, and span data to reduce storage usage, while retaining quality and safety scores.
- Use AI Control Tower on a domain-separated instance.
- AI Inventory Intelligence Agent analyzes the AI asset inventory, identifies assets with incomplete metadata, and generates enrichment recommendations to improve data quality and governance readiness.
- The GCP Vertex AI connector is renamed to Gemini Enterprise Platform Agent
- The AI Service Graph Connector for GCP application is renamed to AI Service Graph Connector for Google.
- The Salesforce connector is renamed to AI Connector for Salesforce.
- The Microsoft connector introduces A365 agent platform to discover and import AI assets into ServiceNow AI Control Tower.
- Starting in the September 2026 release, AI Gateway is available in AI Control Tower.
- The MCP and CIMD registered clients can be edited to update their configuration from the AI Gateway Setup tab.
- The AI Gateway proxy URL format has changed. The new format is:
`https:///sncapps/aigw/mcp/`
Previously, the URL format was:
`https:///sncapps/awh//mcp`
AI Control Tower highlights in [Australia Patch 4](https://www.servicenow.com/docs/access?context=australia-patch-4&family=australia&ft:locale=en-US):
- Manage your AI governance work in a redesigned AI Control Tower experience that lets you find information and complete tasks using natural language.
- Resolve important issues using auto-generated recommendations and AI insights that direct your attention to the AI governance work that matters most.
- Detect quality and safety regressions in AI systems before they escalate, using automated scoring and trend analysis for AI interactions in production.
- Use ServiceNow Otto premium chat in AI Control Tower for a better conversational experience with unified search and chat capabilities, including integrated web search and file uploads.
- Contain rogue AI agents by using kill switch protocol to limit damage, preserve your security posture, and provide business continuity for your users.
- Make a managed AI agent discoverable to external systems by publishing it to the External Registry. The Microsoft integration provides two methods to publish an agent so that Microsoft can discover it.
- Publish agents from the AI asset record page.
- Publish agents while onboarding an asset.
- Detect AI assets in your inventory that perform the same function using deduplication. Deduplication enables AI stewards to review and consolidate redundant entries instead of governing them independently.
- ServiceNow Otto is the new AI experience brand. This change is reflected in AI Control Tower. Your product entitlements remain unchanged. Check your entitlements to determine your access to specific features.
- The AI Control Tower home page includes a Guided Setup widget that walks you through the initial configuration of AI Control Tower.
- AI Service Graph Connectors integrate with AI Control Tower to create AI connections for discovering AI assets and tracking data usage. For information about connectors, prerequisites, and the configuration process, see [AI Control Tower- AI Discovery Connectors \[KB2986990\]](https://support.servicenow.com/kb_view.do?sysparm_article=KB2986990) article in the Now Support Knowledge Base.
- AI Service Graph Connectors and versions available for August 2026 release:
- AI Service Graph Connector for Microsoft \(version 3.1.7\)
- AI Service Graph Connector for GCP Vertex AI \(version 1.2.4\)
- AI Service Graph Connector for Anthropic \(version 2.0.7\)
- Model Preview Program \(MPP\) is an opt-in program that gives eligible users an early access to AI models that aren't yet Generally Available \(GA\).
AI Control Tower \(legacy\) highlights in [Australia Patch 4](https://www.servicenow.com/docs/access?context=australia-patch-4&family=australia&ft:locale=en-US):
- The AI asset list in AI Inventory includes Asset State and Asset Status columns.
- The system assigns a unique ID to every asset. The ID appears in the Asset tag field under Asset details.
- AI Service Graph Connectors for OpenAI, Moveworks, IBM, and OCI are available in AI Control Tower for AI connections.
- The AI Service Graph Connector for OpenAI discovers AI models and tracks model usage.
- When you mark a managed asset as unmanaged, the asset's active workflows, tasks, and governance processes are canceled, and the asset is excluded from value tracking.
- When you mark an unmanaged asset as managed, the asset is actively monitored and governed, making it visible and eligible for governance workflows and value tracking.
AI Control Tower \(legacy\) highlights in [Australia Patch 1](https://www.servicenow.com/docs/access?context=australia-patch-1&family=australia&ft:locale=en-US):
- 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.
AI Control Tower \(legacy\) highlights in [Early availability](https://www.servicenow.com/docs/access?context=australia-all-other-fixes&family=australia&ft:locale=en-US):
- 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.
- AI Gateway offers MCP Catalog to choose while adding MCP servers into AI Control Tower.
For more information on the new AI Control Tower experience, see [AI Governance](https://www.servicenow.com/docs/access?context=aict-landing&family=australia&ft:locale=en-US).
For more information on the legacy AI Control Tower experience, see [AI Governance \(legacy\)](https://www.servicenow.com/docs/access?context=ai-control-tower-landing&family=australia&ft:locale=en-US).
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