Enterprise AI discovery systematically identifies, catalogs(meta-data) AI agent related assets like models, tools and prompts across an organization’s AI landscape.
Enterprises are increasingly adopting AI solutions across various platforms, including AWS Bedrock, Google Cloud Platform (GCP), and Microsoft Azure and other SaaS platforms like Databricks, Salesforce etc. AI assets are scattered across multiple hyperscalers, leading to a lack of centralized visibility and control.
The administrator can configure discovery integrations with hyperscaler and SaaS environments to offer a unified overview of enterprise AI assets and their connections. This enables the AI steward to monitor AI systems such as AI Agents being created and deployed within the enterprise ecosystem, as well as track associated assets such as models, prompts, and tool details.
- Enables discovery of AI assets via integrations with: AWS Bedrock, SageMaker, Agent Core, Azure Foundry, Copilot Studio, GCP Vertex AI, Salesforce, n8n, Databricks, Snowflake, Hugging Face, LangGraph etc.
- Centralizes agents, models, prompts, and tools into one registry
- Aggregates assets across AWS, Azure, GCP, ServiceNow, and SaaS platforms
- Provides a single consolidated view of AI assets and their relationships
- Uses Service Graph Connectors framework for scalable integrations
New
- A new configuration item, "Configure external connectors," is available under "AI asset inventory › Discover external AI assets". Admins can connect hyperscaler platforms to enable discovery of external AI assets. The configuration experience is self-contained and handles loading, success, and error states.
Dependency : AICT Core plugin
Allow for existing AI Native SKU customers
With AICT app for AICT customers
The AI Discovery plugin (sn_ai_disc) has the Dependencies:
- com.glide.hub.action_step.rest
- com.glide.hub.integration.runtime
- com.glide.cobject
- com.glide.hub.action_step.get_connection_info
- com.glide.hub.action_type.datastream
App Dependency:
- sn_ai_governance