Microsoft Foundry

Rencore inventories Azure AI Foundry with 6 inventory types covering projects, hubs, model deployments, and connections for full AI platform visibility.

Published For Head of IT, CISO, CIO / CXO
AI & Agents
Definition

Rencore Azure AI Foundry governance provides 6 inventories that catalog projects, hubs, model deployments, connections, and resources across your Azure AI Foundry environment. It gives IT and security teams a complete inventory of where AI models are deployed, which data connections exist, and how projects are organized, enabling informed governance decisions as your AI Foundry usage grows.

See Microsoft Foundry in Rencore

Step 1 of 1

9 governance capabilities: 6 inventories · 1 policies

Why govern Microsoft Foundry with Rencore

Inventory AI projects and hubs

Catalog every Azure AI Foundry project and hub across your subscriptions. Know which teams are building AI solutions, where they are deployed, and how they are organized.

Track model deployments

See which AI models are deployed, in which projects, and with what configurations. Maintain an up-to-date registry of all active model deployments across your organization.

Map data connections

Inventory the data connections feeding your AI Foundry projects. Understand which data sources are connected to which AI workloads for security and compliance reviews.

What Rencore discovers

Rencore automatically inventories these Microsoft Foundry object types.

AI Service
Cloud-based artificial intelligence (AI) services that help developers build cognitive intelligence into applications
AI Hub
Azure AI hub which are the primary top-level Azure resources for Azure AI Foundry
AI Agent
Azure AI projects are used to organize your work and save state while building customized AI apps
AI Project
Azure AI projects are used to organize your work and save state while building customized AI apps
Finetune Job
Azure AI projects are used to organize your work and save state while building customized AI apps
LLM Deployment
Azure AI Foundry supports deploying large language models (LLMs), flows, and web apps. Deploying an LLM or flow makes it available for use in a website, an application, or other production environments.
Microsoft Foundry inventory card in Rencore

How Azure AI Foundry governance works in Rencore

Rencore connects to Azure AI Foundry via the Azure API and inventories projects, hubs, model deployments, connections, and associated resources. Inventory data is collected on each scan cycle, providing a continuously updated catalog of your AI Foundry environment.

Who uses Azure AI Foundry governance

Heads of IT use the inventory to track which teams are building on Azure AI Foundry and where. CISOs review data connections to ensure sensitive data sources are properly governed. CIOs use project inventories to measure the scale of AI adoption across the organization.

Getting started

Provide Rencore with Azure API credentials scoped to your AI Foundry resources. Inventory collection begins on first scan, covering all projects, hubs, and deployments automatically.

Policies

1 governance rules that detect violations and risks.

AI Services without AppInsights Monitoring
Shows agents that can be used by Everyone in the organization
High Security

Need a rule that isn't listed? Rencore's Policy Builder lets you create custom policies tailored to your organization.

Frequently asked questions

Does Rencore support governance for AI tools beyond Microsoft Copilot?
Yes. Rencore connects to Claude, OpenAI, Gemini, GitHub Copilot, Cursor, Windsurf, AWS Bedrock, Azure AI Foundry, and other AI platforms. Each connector provides tailored policies for cost management, security, adoption tracking, and access control, giving IT a unified governance view across all AI tools the organization uses.
What is Rencore governance?
Rencore governance is a SaaS platform that continuously monitors your Microsoft 365 tenant for policy violations, configuration drift, and security risks across SharePoint, Teams, Power Platform, Copilot, and AI Agents. It automates compliance evidence collection, surfaces oversharing and sprawl, and provides actionable remediation workflows, reducing manual audit effort by up to 80%.
How do Rencore policies work?
Rencore ships with hundreds of pre-built policies that detect governance violations across every connector, oversharing, sprawl, cost overruns, security risks, and compliance gaps. Policies run on a continuous schedule, evaluate each discovered object against configurable rules, and flag violations with severity (High, Medium, Low), category, and a recommended action.

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