Enterprise AI discovery: Unlock Visibility, Governance & Value

  • 릴리스 버전: Australia
  • 업데이트 날짜 2026년 03월 12일
  • 소요 시간: 6분

    • Explore Enterprise AI discovery, its key benefits, and capabilities.

    AI discovery overview

    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

    • 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 discovery

    • 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 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.
      주:
      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 discovery 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 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

    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 page in AI Control Tower using ServiceNow Graph Connectors to discover AI assets, and usage.