AI Control Tower release notes
Summarize
Summarized using AI
This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete.
Summary of AI Control Tower release notes
AI Control Tower is designed to help enterprises actively manage, optimize, govern, secure, and measure the value of their AI investments. It centralizes AI asset inventories, automates workflows to improve development efficiency, and integrates risk and compliance management throughout the AI asset lifecycle. This ensures effective performance, compliance adherence, and workforce transformation while embedding AI strategy seamlessly into enterprise operations.
Show less
Key Features
- Centralized AI Asset Management: Maintain a comprehensive inventory of AI assets including integrations with AWS Bedrock, Azure Foundry, Microsoft Foundry, and Google Cloud Platform Vertex AI.
- Automation and Workflow Enhancements: Automate processes such as moving assets from unmanaged to managed, discovery of AI assets, and offboarding workflows to streamline AI lifecycle management.
- Risk, Compliance, and Security: Embedded risk assessments, audit logs, data segregation to prevent unauthorized exposure, and monitoring of AI agent access and privileges to ensure ethical and transparent AI use.
- Value and Adoption Management: Tools to monitor AI investments, track performance, costs, risks, and adoption metrics to support data-driven decisions maximizing AI impact.
- Product and Asset Model Enhancements: Updated data models and product categories to support AI-specific asset types such as AI Workers and MCP Server Asset Type.
- Integration with Third-Party Model Providers: Support for 3rd party AI model providers powering ServiceNow skills and agents, with impact summaries to evaluate choices.
- User Experience Improvements: Personalized homepages for product owners and enhanced dashboards for value and adoption monitoring.
- Marker App Functionality: Version 5.0.0 serves as a marker app enabling automatic installation of related applications without adding new features.
Key Outcomes
- Improved visibility and control over enterprise AI assets and investments.
- Streamlined AI lifecycle management through automation and integration with cloud AI services.
- Enhanced risk mitigation and compliance adherence embedded in AI governance processes.
- Data-driven decision-making enabled by comprehensive value, adoption, and risk metrics.
- Support for evolving AI product models and third-party provider integrations to future-proof AI strategies.
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
- New:
- 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
- Discovery: Connectors for
- New:
- 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
- Highlights:
- 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.