--- sourceDocument: Store Version History Release Notes sourceDocumentLink: https://www.servicenow.com/docs/r/store-release-notes Release : - store ft:locale : - en-US ft:publication_title : - Store Version History Release Notes ft:clusterId : - rnst bundleId : - rnst --- # AI Control Tower release notes # AI Control Tower release notes {#ariaid-title1} Release version: Store Updated November 5, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 9 minutes to read 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](https://store.servicenow.com/sn_appstore_store.do#!/store/home) website. ## Version history Version 7.1.9 - November 2026 : * Inventory and Discovery * New: * Connectors: Trace Collector discovers Tools. Hyperscaler connectors install automatically. Anthropic discovers Agents via Beta APIs and supports MID servers. GCP imports Gemini Enterprise App Agents with clearer errors. Microsoft adds attributes and tag-based discovery. Databricks adds Domain Separation. GitHub discovers organizations, repositories, and Copilot agents, with scheduled imports and Cloud and Enterprise support. * AI Gateway: Client based access policies in AI Gateway to limit each MCP client to specific tools on an MCP server {#store-integrationhub-rn-ai-control-tower__ul_xbh_bsh_blc} * Changed: GCP Beta API usage UX updated. * Fixed: * AI Discovery Agentic Client support and staging domain fallback. * Anthropic false success on Test Connection; LangGraph duplicates and standalone run usage; several GCP issues. {#store-integrationhub-rn-ai-control-tower__ul_t55_bsh_blc} {#store-integrationhub-rn-ai-control-tower__ul_sld_csh_blc} * Govern * New: AI Policy Framework v1.2:AI agent containment (kill switch) using policy-based automation. * Fixed: * Playbook and lifecycle fixes in AI Risk and Compliance, and AI Risk and Asset Management. * Rejection comments display; rejected requests set to "Cancelled." {#store-integrationhub-rn-ai-control-tower__ul_ujb_dsh_blc} {#store-integrationhub-rn-ai-control-tower__ul_adl_csh_blc} * Secure * Changed: * In Settings, the Security tab has been restructured into these sub-tabs: Overview, Runtime, Post-runtime, and Security insights. These sub-tabs correspond to metrics they configure, except Security insights. Security insights shows the status of the AICT Security Analyzer agent. * In Settings, in the Runtime sub-tab, the link to configure data patterns changed to go to Anonymization policies in Data Privacy. * In Settings, in the Post-runtime and Security insights sub-tabs, the user is asked to consent to consumption of assists when enabling settings. * In the Post-runtime tab, when you select Configure, you are now redirected to Settings to update your configuration instead of to a side panel. * AICT correctness detection is renamed to Correctness detection. * The Contained agents list is renamed Agent containment list and you can now filter the list by agent. {#store-integrationhub-rn-ai-control-tower__ul_a45_dsh_blc} * Fixed: * In Settings, the Data privacy tab shows anonymization disabled for a data pattern. (PRB2104868) * Post-runtime tab heatmap is missing hover details and has an empty Provider column. (PRB2097211) * In the Post-runtime tab, correctness detection events show JSON in the Description column instead of readable justification text. (PRB2098772) * Agent map shows risk and owner data from the wrong instance's agent. (PRB2094174) * Overview page load time regressed. (PRB2093094) * Managed-asset filtering disabled when an instance doesn't have governed assets, causing all assets to be analyzed. (PRB2100466) {#store-integrationhub-rn-ai-control-tower__ul_qdk_2sh_blc} {#store-integrationhub-rn-ai-control-tower__ul_phm_dsh_blc} * Monitor * New: * Direct trace access for usage mismatches. * Severity-based grouping of score drops. * Agent activity chart filters by top or bottom five metrics. * Metric scores and LLM judge reasoning on Session details. * Input and output toggle in trace details. {#store-integrationhub-rn-ai-control-tower__ul_t51_fsh_blc} * Changed: * Arc traces evaluated at asset level for Agentic Client assets; Tools discovery and evaluation added. * Reduced insight noise; widget customization across AICT pages. {#store-integrationhub-rn-ai-control-tower__ul_gd3_fsh_blc} * Fixed: * Redundant session scores removed; Privileged Access Detector shows 0% in red. * Custom date selection and duplicate insights. {#store-integrationhub-rn-ai-control-tower__ul_qws_fsh_blc} {#store-integrationhub-rn-ai-control-tower__ul_oy5_2sh_blc} * Measure * Fixed: * Functional and non-functional IT defects. * Creator metrics for managed and unmanaged AI systems. {#store-integrationhub-rn-ai-control-tower__ul_c3d_gsh_blc} {#store-integrationhub-rn-ai-control-tower__ul_kcz_fsh_blc} * Foundations * Changed: AINPX UI: AI Gateway access management, runtime security configuration, a Security Insights tab, connector upgrades, and LLM-based deduplication. * Fixed: * EA for AICT domain separation on AI Portfolio widgets. * AWH: correct Tool Groups count, MCP sync job errors, and catalog population on new instances. * Otto: manufacturer, vendor, and owned_by details resolve correctly. {#store-integrationhub-rn-ai-control-tower__ul_elb_hsh_blc} {#store-integrationhub-rn-ai-control-tower__ul_bhn_gsh_blc} {#store-integrationhub-rn-ai-control-tower__ul_vq5_1sh_blc} Version 7.1.5 - October 2026 : * AI Control Tower adds new capabilities across discovery, governance, security, monitoring, and measurement of AI usage. * Inventory and Discovery * Block AI services detected through ACC. * An AI Inventory Enrichment Agent scans your inventory for incomplete records and suggests values to fill the gaps. * New and enhanced connectors extend discovery to Microsoft Agent365, Azure AI Foundry, Copilot, and AWS. {#store-integrationhub-rn-ai-control-tower__ul_uv5_dyd_tkc} * Govern * Discovered AI systems are now risk-classified at the point of discovery, before they enter the managed workflow. * An AI Risk \& Control Applicability Advisor recommends the most relevant risks and controls for each system, with rationale. * Dynamic Playbook 2.0 tailors onboarding tasks to an asset's risk classification. * ServiceNow-managed AI agents can now be published to Microsoft Agent365 and other external registries. {#store-integrationhub-rn-ai-control-tower__ul_fq2_2yd_tkc} * Secure * AI agent containment can be triggered automatically based on authored policies in the AI Control Tower, removing the need for manual intervention. Support is extended to Azure AI Foundry for agent runtime and Gemini Enterprise Agent Platform (via Okta integration). * Design-time security now covers AI agents, tools, MCP servers, and system prompts, not just AI models. * The Veza connector now uses OAuth 2.0 for authentication. {#store-integrationhub-rn-ai-control-tower__ul_arp_2yd_tkc} * Monitor * Configure trace data retention to fit your needs. * View new latency and token-usage visualizations. * Set evaluation metrics at the asset level. * Use custom date ranges of up to 18 months for evaluation data. {#store-integrationhub-rn-ai-control-tower__ul_l4z_2yd_tkc} * Measure * Product owners can now view and work with just the AI systems and metrics that matter to them. {#store-integrationhub-rn-ai-control-tower__ul_hdl_fyd_tkc} * Foundations * Domain separation is available across AI Control Tower, enabling MSP and multi-tenant deployments with isolated inventories, security posture, and value data for each tenant. * For full details, see AI Control Tower release notes {#store-integrationhub-rn-ai-control-tower__ul_avz_fyd_tkc} {#store-integrationhub-rn-ai-control-tower__ul_c53_dyd_tkc} {#store-integrationhub-rn-ai-control-tower__ul_ahz_cyd_tkc} Version 7.1.0 - September 2026 : * AI Control Tower adds new capabilities across discovery, governance, security, monitoring, and measurement of AI usage. * Inventory and Discovery * Detect unsanctioned AI use with network detection (Armis) and endpoint detection (ITOM ACC), including model, user, department, and device details. * Block AI services detected through ACC. * An AI Inventory Enrichment Agent scans your inventory for incomplete records and suggests values to fill the gaps. * New and enhanced connectors extend discovery to Microsoft Agent365, Azure AI Foundry, Copilot, and AWS. {#store-integrationhub-rn-ai-control-tower__ul_g4j_ghx_lkc} * Govern * Discovered AI systems are now risk-classified at the point of discovery, before they enter the managed workflow. * An AI Risk \& Control Applicability Advisor recommends the most relevant risks and controls for each system, with rationale. * Dynamic Playbook 2.0 tailors onboarding tasks to an asset's risk classification. * ServiceNow-managed AI agents can now be published to Microsoft Agent365 and other external registries. {#store-integrationhub-rn-ai-control-tower__ul_z1t_ghx_lkc} * Secure * AI agent containment can be triggered automatically based on authored policies in the AI Control Tower, removing the need for manual intervention. Support is extended to Azure AI Foundry for agent runtime and Gemini Enterprise Agent Platform (via Okta integration). * Design-time security now covers AI agents, tools, MCP servers, and system prompts, not just AI models. * The Veza connector now uses OAuth 2.0 for authentication. {#store-integrationhub-rn-ai-control-tower__ul_kb2_hhx_lkc} * Monitor * Configure trace data retention to fit your needs. * View new latency and token-usage visualizations. * Set evaluation metrics at the asset level. * Use custom date ranges of up to 18 months for evaluation data. {#store-integrationhub-rn-ai-control-tower__ul_bbp_hhx_lkc} * Measure * Product owners can now view and work with just the AI systems and metrics that matter to them. {#store-integrationhub-rn-ai-control-tower__ul_gqy_hhx_lkc} * Foundations * Domain separation is available across AI Control Tower, enabling MSP and multi-tenant deployments with isolated inventories, security posture, and value data for each tenant. {#store-integrationhub-rn-ai-control-tower__ul_ryf_3hx_lkc} * For full details, see. AI Control Tower release notes {#store-integrationhub-rn-ai-control-tower__ul_c3p_fhx_lkc} Version 7.0.2 - August 2026 (Australia) : * This application is available for customers entitled to the AI Control Tower for the Enterprise (SU) SKU. * Discovery \& Inventory * New: Multi-tenant credential support for hyperscaler connectors * Changed: * Enhanced asset enrichment with cloud-native metadata and AI system relationship mapping * Relationship mapping with Business applications (requires EA entitlement) * Simplified asset states and status which replaces lifecycle phase and lifecycle status in asset record view {#store-integrationhub-rn-ai-control-tower__ul_vkn_ww5_bkc} * Removed: Legacy single-tenant discovery connectors {#store-integrationhub-rn-ai-control-tower__ul_qlp_vw5_bkc} * Governance * New: * Pre-built compliance content --- Ready-to-use pack of regulations, control objectives, and risk statements with Day-1 readiness for California and Colorado AI laws * Common Controls Alignment across frameworks to avoid duplication {#store-integrationhub-rn-ai-control-tower__ul_dns_1x5_bkc} * Changed: Unified Task Experience streamlining navigation between playbook tasks for faster impact and risk assessments * Removed: * Manual control framework templates * Security {#store-integrationhub-rn-ai-control-tower__ul_lbv_cx5_bkc} * New: * Data security and privacy enforcement rules integrated into AI system governance * Compliance-aware data masking and redaction for regulated environments {#store-integrationhub-rn-ai-control-tower__ul_xnf_dx5_bkc} {#store-integrationhub-rn-ai-control-tower__ul_jxj_1x5_bkc} * Changed: * Security assessments now integrated into AI lifecycle workflows * Enhanced visibility into data flow and AI model access patterns {#store-integrationhub-rn-ai-control-tower__ul_xzs_2x5_bkc} {#store-integrationhub-rn-ai-control-tower__ul_mbv_5w5_bkc} Version 5.2.2 - August 2026 (Zurich) : * This application is available for customers entitled to the AI Control Tower for the Enterprise (SU) SKU. * Discovery \& Inventory: * New: Multi-tenant credential support for hyperscaler connectors * Changed: * Enhanced asset enrichment with cloud-native metadata and AI system relationship mapping * Relationship mapping with Business applications (requires EA entitlement) * Simplified asset states and status which replaces lifecycle phase and lifecycle status in asset record view {#store-integrationhub-rn-ai-control-tower__ul_x34_mw5_bkc} * Removed: Legacy single-tenant discovery connectors {#store-integrationhub-rn-ai-control-tower__ul_l1j_lw5_bkc} * Governance: * New: * Pre-built compliance content --- Ready-to-use pack of regulations, control objectives, and risk statements with Day-1 readiness for California and Colorado AI laws * Common Controls Alignment across frameworks to avoid duplication {#store-integrationhub-rn-ai-control-tower__ul_s3x_4w5_bkc} * Changed: Unified Task Experience streamlining navigation between playbook tasks for faster impact and risk assessments * Removed: * Manual control framework templates * Security {#store-integrationhub-rn-ai-control-tower__ul_mml_rw5_bkc} * New: * Data security and privacy enforcement rules integrated into AI system governance * Compliance-aware data masking and redaction for regulated environments {#store-integrationhub-rn-ai-control-tower__ul_jlw_sw5_bkc} * Changed: * Security assessments now integrated into AI lifecycle workflows * Enhanced visibility into data flow and AI model access patterns {#store-integrationhub-rn-ai-control-tower__ul_wbg_tw5_bkc} {#store-integrationhub-rn-ai-control-tower__ul_nv3_4w5_bkc} {#store-integrationhub-rn-ai-control-tower__ul_ujt_kw5_bkc} 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 {#store-integrationhub-rn-ai-control-tower__ul_bkd_1js_t3c} * 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 {#store-integrationhub-rn-ai-control-tower__ul_bnl_1js_t3c} 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 {#store-integrationhub-rn-ai-control-tower__ul_tkz_5gt_khc} * 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 {#store-integrationhub-rn-ai-control-tower__ul_mkz_5gt_khc} Version 2.1.0 - September 2025 : * New: Impact summary for 3P model provider choices * Updated: Enhancements to Value and Adoption dashboards {#store-integrationhub-rn-ai-control-tower__ul_rwl_lw4_lgc} 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 {#store-integrationhub-rn-ai-control-tower__ul_hrx_2q5_bgc} 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.{#store-integrationhub-rn-ai-control-tower__latest-store-integrationhub-rn-ai-control-tower} {#store-integrationhub-rn-ai-control-tower__latest-store-integrationhub-rn-ai-control-tower}