AI connections

  • Release version: Yokohama
  • Updated March 12, 2026
  • 2 minutes to read
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    Summary of AI connections

    AI connections is a fundamental feature of the AI Control Tower that provides ServiceNow customers with a unified, comprehensive view of AI assets across multiple hyperscalers, AI applications, and agentic AI frameworks. By leveraging Service Graph Connectors, it aggregates AI assets from platforms such as AWS Bedrock, Azure AI Foundry, Copilot Studio, Google Cloud Platform Vertex AI, and ServiceNow agents, enabling centralized governance and streamlined management of AI ecosystems.

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    Key Features

    • Unified Registry: Consolidates AI assets from diverse cloud and on-premises sources into a single registry using unique source identifiers like Amazon Resource Names (ARNs) and product models.
    • 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 for better tracking and control.
    • Visibility & Control: Eliminates silos by providing holistic management and oversight of AI assets across hybrid cloud environments, with capabilities for AI stewards to selectively synchronize assets and maintain oversight of active connections.

    Why It Matters

    Fragmented AI ecosystems pose governance, compliance, and security risks. AI connections enable customers to:

    • Eliminate blind spots by aggregating fragmented AI assets for holistic visibility.
    • Accelerate governance by centralizing compliance, security, and operational efficiency.
    • Drive responsible innovation by supporting scalable and auditable AI ecosystems where governance and innovation coexist.

    Business Impact

    AI connections help organizations reduce AI deployment risks by automatically discovering AI assets and simplifying compliance management. They improve governance by providing transparency into AI deployments across various environments, enabling executives to make informed decisions. Additionally, tracking AI usage and adoption supports measurement of productivity gains. For customers using both ServiceNow and cloud platforms, AI connections unify operations and enhance visibility, simplifying AI asset management across hybrid cloud environments.

    Practical Use for ServiceNow Customers

    Through the AI connections setup page in AI Control Tower, customers can access and manage AI assets discovered via Service Graph Connectors. This capability empowers organizations to maintain comprehensive oversight of their AI ecosystem, ensure compliance, and drive innovation with confidence while managing AI deployments across multiple cloud platforms and internal environments.

    AI connection is a core feature of the AI Control Tower. It provides a unified view of all AI assets across hyperscalers, AI apps, and agentic AI frameworks via Service Graph Connectors.

    Key Benefits

    • 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

    Why AI connection

    • 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

    Key Capabilities

    • Unified Registry: Aggregate AI assets from hyperscalers, 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

    AI connection challenges & solution

    Enterprise AI adoption is growing rapidly, yet many organizations face challenges with fragmented visibility across internal developments, vendor offerings, and cloud deployments. The AI connection in AI Control Tower automatically detects AI assets on the ServiceNow AI 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

    AI connections help 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 connections are unified. This simplifies operations and ensures strong visibility.

    AI connection 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 setup page in AI Control Tower using Service Graph Connectors to discover AI assets, and usage.