AI Control Tower release notes

  • Release version: Store
  • Updated July 9, 2026
  • 2 minutes to read
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    Summary of AI Control Tower release notes

    AI Control Tower is a ServiceNow application designed to help enterprises actively manage, optimize, govern, secure, and measure the value of their AI investments. It centralizes AI asset inventory, enhances efficiency through automated workflows, and integrates risk and compliance management throughout the AI asset lifecycle. The release notes document the evolution of the application from its initial release in May 2025 through the July 2026 update, highlighting key enhancements that improve AI asset management, risk governance, and operational insights.

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    Key Features

    • AI Asset Management: Introduction of unique asset IDs for all AI assets and simplified asset state and status values to streamline lifecycle tracking.
    • Risk and Compliance: Embedded audit logs, multiple risk assessments, data segregation, and a framework to manage content libraries for risk mitigation and compliance adherence.
    • Integration and Discovery: Connectors for major cloud AI platforms such as Microsoft Foundry (Azure Machine Learning, AI Hub, Cognitive Services), Microsoft Copilot Studio, GCP Vertex AI, AWS Bedrock, and Azure Foundry to discover and manage AI assets.
    • Automation and Workflow Enhancements: Automation rules to transition assets from Unmanaged to Managed status and workflows for change management and offboarding of AI assets.
    • Performance and Value Management: Personalized product owner experience with dashboards to monitor AI performance, adoption, investments, costs, risks, and progress toward AI strategy goals.
    • Security and Access Monitoring: Tools to track ServiceNow AI Agent access, including privileged user activities and dormant agents, ensuring secure AI operations.
    • Model Provider Choice and Preview: Options to opt-in to model preview programs and select third-party model providers powering ServiceNow AI skills and agents.
    • Framework and Plugin Updates: Updates to support new AI asset types and future enhancement capabilities, including support for the AI Worker category and improved synchronization jobs.

    Key Outcomes

    • Improved Asset Governance: Enterprises can maintain a comprehensive, unique asset inventory with clear management statuses, reducing risks of unmanaged AI assets.
    • Enhanced Risk Management: Embedded risk assessments and compliance controls help prevent unauthorized data exposure and regulatory noncompliance.
    • Streamlined AI Operations: Automated workflows and integration with major AI platforms enable efficient lifecycle management and operational visibility.
    • Data-Driven Decision Making: Access to aggregated risk scores, performance metrics, and value dashboards empowers informed strategy and investment decisions.
    • Security Assurance: Continuous monitoring of AI agent access and activities ensures secure deployment and governance of AI capabilities.
    • Flexibility and Innovation: Support for multiple third-party AI models and preview programs provides organizations with choice and early access to evolving AI technologies.

    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 6.0.0 - July 2026
    • New:
      • Assign unique asset IDs for each asset
      • Opt-in to model preview program
    • Changed:
      • Post-upgrade fix: Auto-flag existing active assets as "Managed" for AICT Enterprise SKU customers upgrading from pre-March release
      • Simplified asset state and status values - replaces lifecycle states
    Version 5.1.0 - July 2026 (Zurich)
    • New:
      • Assign unique asset IDs for each asset
      • Opt-in to model preview program
    • Changed:
      • Post-upgrade fix: Auto-flag existing active assets as "Managed" for AICT Enterprise SKU customers upgrading from pre-March release
      • Simplified asset state and status values - replaces lifecycle states
    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.