AI Discovery
Enabling the discovery of AI artifacts from AWS bedrock, Microsoft Foundry, Copilot and GCP Vertex AI in AI Control Tower
Install Trend
View Install Data
| Date | Install Count | Change |
|---|---|---|
| 2026-09-09 | 0 | - |
About
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.
Key Features
- 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