AI Control Tower release notes

  • Release version: Store
  • Updated June 11, 2026
  • 2 minutes to read
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    Summary of AI Control Tower release notes

    The AI Control Tower application on the ServiceNow Store enables enterprises to centrally manage, optimize, govern, secure, and measure the value of their AI investments. It supports performance monitoring, compliance adherence, workforce transformation, and the seamless integration of AI into enterprise strategies. The application offers a centralized AI asset inventory, automated workflows to improve AI development efficiency, and embedded risk and compliance management throughout the AI asset lifecycle.

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    Key Features by Version

    • Version 1.0.1 (May 2025): Initial release providing centralized AI asset management, workflow automation, and risk and compliance embedding.
    • Version 2.0.0 (August 2025): Enhanced product owner experience with personalized homepage and AI asset visibility, value management tools for AI investments, AI productivity and adoption metrics, security monitoring for ServiceNow AI agents, discovery of AI assets in AWS Bedrock and Azure Foundry, support for 3rd party model providers, and aggregated risk scores for ethical AI practices.
    • Version 2.1.0 (September 2025): Added impact summary for third-party model provider choices and improvements to value and adoption dashboards.
    • Version 3.0.0 (December 2025): Introduced connectors for Microsoft Foundry services, Microsoft Copilot Studio, GCP Vertex AI, workflows for AI asset change management and offboarding, audit logs for configuration changes, global value templates, multiple risk assessments, data segregation for security and compliance, and content library management for risk. Added email-driven AI misuse and inquiry reporting.
    • Version 4.0.0 (March 2026): Integrated new features for AI assets intake, risk, and compliance.
    • Version 4.1.0 (April 2026): Updated plugin dependencies to support product tiers, added automation rules to move assets from unmanaged to managed, enhanced data model for MCP Server Asset Type, and expanded product model categories to include AI Worker for AI System asset types.
    • Version 4.2.0 (May 2026): Updated MIF Sync Jobs to support new CI Relationship entries for ServiceNow AI assets and framework updates for future enhancements.
    • Version 5.0.0 (June 2026): Released as a marker app to trigger automatic installation of other apps, with no new functionality added.

    What This Means for ServiceNow Customers

    ServiceNow customers using AI Control Tower can expect comprehensive lifecycle management of AI assets, enhanced visibility into AI investments and their value, improved risk and compliance controls, and support for integration with major cloud AI services and third-party model providers. The platform helps streamline AI governance, adoption, and security, enabling informed decision-making and efficient AI strategy execution across the enterprise.

    Version history for the AI Control Tower application on the ServiceNow Store.

    Important:
    For details on system requirements and family compatibility, view the application listing on the ServiceNow Store website.

    Version history

    Version 5.0.0 - June 2026
    This is a "marker app" with no new functionality added; its purpose is to automatically trigger installation of other apps.
    Version 4.2.0 - May 2026
    Changed: MIF Sync Jobs to support new CI Relationship entries for ServiceNow AI assetsFramework updates to support future enhancements and features
    Version 4.1.0 - April 2026
    • New:
      • Updated plugin dependencies for product tier support
      • Automation rules to move assets from Unmanaged to Managed assets
    • Changed:
      • Enhanced data model for MCP Server Asset Type
      • Enhanced Product Model Category to support AI Worker as a new category for AI System asset type
    Version 4.0.0 - March 2026
    Integrate new features for AI assets, intake processes and risk and compliance.
    Version 3.0.0 - December 2025
    • New:
      • Discovery: Connectors for
        • Microsoft Foundry (Azure Machine Learning Services, AI Hub and Azure Cognitive Services)
        • Microsoft Copilot Studio
        • GCP Vertex AI
      • Change Management and Offboarding workflows for AI assets
      • Audit logs to capture configuration changes
      • Global Value templates repository
      • Multiple risk assessments
      • Data segregation to secure unauthorized data exposure and regulatory noncompliance risks
      • Framework to manage and streamline adoption of content library for Risk
      • Email-Driven AI Misuse / Inquiry Reporting
    Version 2.1.0 - September 2025
    • New: Impact summary for 3P model provider choices
    • Updated: Enhancements to Value and Adoption dashboards
    Version 2.0.0 - August 2025
    • Highlights:
      • Enhanced Product Owner experience with a personalized homepage and improved visibility into AI assets to simplify task management.
      • Value management tools to manage AI investments
      • Monitor performance, track progress, costs, project risks and issues, and make informed decisions related to your AI strategies, goals, and targets from the AI strategy tab.
      • 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 3rd party model providers powering ServiceNow skills and agents
      • Access to aggregated risk scores to improve decision-making, manage risks, and ensure ethical and transparent AI practices
    Version 1.0.1 - May 2025
    AI Control Tower enables enterprises to actively manage, optimize, govern, secure & measure the value of their AI investments, ensuring performance, compliance, & workforce transformation while seamlessly embedding AI into enterprise strategy. AI Control Tower centralized enterprise AI asset inventory, boosts efficiency in the AI development with automated workflows and embeds risk and compliance management in the AI asset lifecycle.