--- sourceDocument: Brazil Enable AI sourceDocumentLink: https://www.servicenow.com/docs/r/intelligent-experiences Release : - brazil ft:locale : - en-US ft:publication_title : - Brazil Enable AI ft:clusterId : - platai bundleId : - platai workflow : - Platform --- # Enterprise AI discovery: Unlock Visibility, Governance \& Value # Enterprise AI discovery: Unlock Visibility, Governance \& Value {#ariaid-title1} Release version: Brazil Updated September 10, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read Summarize ![AI sparkle icon](https://servicenow.com/docs/portal-asset/ai-sparkle-icon) 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 Enterprise AI discovery: Unlock Visibility, Governance \& Value Enterprise AI discovery is a core feature of the AI Control Tower in ServiceNow that provides a unified, comprehensive view of AI assets---including AI systems, agents, models, prompts, and tools---across multiple hyperscalers, AI applications, and Agentic AI frameworks. By leveraging Service Graph Connectors (SGC), it aggregates AI assets from platforms such as AWS Bedrock, Azure AI Foundry, Google Cloud Platform Vertex AI, and ServiceNow agents into a centralized inventory. Show full answer Show less ## Key Benefits * **Eliminate Blind Spots:** Aggregates fragmented AI assets to provide holistic visibility and control over AI ecosystems. * **Accelerate Governance:** Centralizes compliance, security, and operational management to streamline governance efforts. * **Drive Innovation:** Enables responsible, scalable, and auditable AI environments where governance and innovation coexist effectively. ## Key Capabilities * **Unified Registry:** Collects AI assets from multiple cloud providers and AI frameworks, identifying assets and configuration items by unique source IDs like Amazon Resource Names (ARNs). * **Automatic Discovery:** Seamlessly detects and incorporates AI agents, models, prompts, and tools into the AI Control Tower's asset inventory. * **Comprehensive Metadata:** Captures detailed asset information including relationships, versions, and operational status. * **Visibility \& Control:** Breaks down silos by consolidating AI assets from cloud, on-premises, and hybrid environments for holistic management and oversight. * **Selective Synchronization:** Allows AI stewards to control which assets and environments are synchronized for streamlined governance. ## Challenges Addressed Organizations often face governance and compliance risks due to fragmented AI ecosystems spanning internal, vendor, and cloud-based AI assets. Enterprise AI discovery addresses these challenges by automatically detecting AI assets from multiple cloud platforms and integrating them into ServiceNow's Configuration Management Database (CMDB) for unified governance and visibility. ## Business Impact * Reduces AI deployment risks by automatically discovering AI assets and simplifying compliance management. * Improves governance transparency, enabling executives to make informed decisions based on comprehensive AI deployment insights. * Tracks AI usage and adoption to help measure productivity gains and operational efficiency. * Unifies AI asset discovery for customers using ServiceNow alongside cloud platforms, simplifying operations and strengthening visibility. ## Practical Use for ServiceNow Customers ServiceNow customers can leverage Enterprise AI discovery within the AI Control Tower to automatically find, catalog, and manage AI assets across hybrid cloud environments. By accessing the AI connections page, administrators and AI stewards gain centralized oversight and control over their AI ecosystems, enabling better governance, risk reduction, and support for scalable AI innovation initiatives. Explore Enterprise AI discovery, its key benefits, and capabilities. ## AI discovery overview {#enterprise-ai-discovery__section_xwd_x2x_yfc} Enterprise AI discovery is a fundamental feature of the AI Control Tower offering a unified and comprehensive view of all AI assets---including AI systems, agents, models, prompts, and tools--- across various hyperscalars, AI apps, and Agentic AI frameworks via Service Graph Connectors (SGC). ## Key Benefits {#enterprise-ai-discovery__section_knt_tc3_hhc} * **Eliminate Blind Spots:** Aggregate fragmented AI assets for holistic visibility and control. * **Accelerate Governance:** Centralize compliance, security, and operational efficiency. * **Drive Innovation:** Enable responsible, scalable, and auditable AI ecosystems where governance and innovation coexist. {#enterprise-ai-discovery__ul_iyq_2d3_hhc} ## Why AI discovery {#enterprise-ai-discovery__section_wpx_bd3_hhc} * Fragmented AI ecosystems create governance and compliance risks. * Enterprises need real-time visibility into AI usage including shadow AI to ensure security, compliance, and operational efficiency. * AI discovery empowers organizations to accelerate innovation while reducing risk. {#enterprise-ai-discovery__ul_kqy_dd3_hhc} ## Key Capabilities {#enterprise-ai-discovery__section_wmt_5d3_hhc} * **Unified Registry:** Aggregate AI assets from hyperscalars, AI apps, and Agentic AI frameworks such as AWS Bedrock, Azure AI Foundry, Copilot Studio, Google Cloud Platform (GCP) Vertex AI, ServiceNow agents, and more. Note: We identify Assets and CIs (Configuration Item) using their unique source IDs, such as ARN (Amazon Resource Names) for AWS and Product Models are identified by the associated asset. * **Automatic Discovery:** Seamlessly discover and incorporate agents, models, prompts, and tools into the AI Control Tower's AI asset inventory. * **Comprehensive Meta data:** Capture detailed information for each asset, including relationships, versions, and operational status. * **Visibility \& Control:** Eliminates silos by aggregating AI assets from all major platforms, enabling holistic management and oversight, across cloud, on-premises, and hybrid environments. The AI steward has visibility into all the connections and integrations that the admin has set to be able to maintain oversight and get access to active connections. Enabling AI stewards to selectively synchronize assets and environments. {#enterprise-ai-discovery__ul_qx4_vd3_hhc} ## AI discovery challenges \& solution {#enterprise-ai-discovery__section_br2_lxp_khc} Enterprise AI adoption is growing rapidly, yet many organizations face challenges with fragmented visibility across internal developments, vendor offerings, and cloud deployments. The AI discovery feature in AI Control Tower automatically detects AI assets on the Now Platform, AWS Bedrock, Azure Machine Learning Services, Azure Cognitive Services, Copilot Studio, and GCP Vertex AI, then adds them to the ServiceNow's Configuration Management Database for unified governance. This capability helps organizations achieve comprehensive visibility of their AI assets while supporting the expansion of initiatives across hybrid cloud environments. ## Business Impact {#enterprise-ai-discovery__section_ijb_k1r_khc} AI discovery helps organizations reduce AI deployment risks by automatically finding AI assets and simplifying compliance. This feature improves governance by showing AI deployments across different environments, helping executives make informed decisions with full transparency. It also tracks AI usage and adoption, allowing organizations to measure productivity gains. For customers using both ServiceNow and cloud platforms, AI asset discovery is unified. This simplifies operations and ensures strong visibility. AI discovery in the AI Control Tower enables enterprises to automatically find, catalog, and manage AI assets across cloud platforms through AI connections. This setup can be accessed through the [AI connections](https://www.servicenow.com/docs/F8bc2zU4Xg3oivIOE6H~hw "Explore the AI connections page and its features.") page in AI Control Tower using ServiceNow Graph Connectors to discover AI assets, and usage.