AI Agent | EzCloudInfo

Exploring Microsoft Entra Agent ID (Preview): Identity, Governance & Zero‑Trust for AI Agents

Note: Features are in Preview and may change.

As organizations lean into AI assistants and autonomous workflows, one challenge keeps coming up in every SOC and IAM conversation: agent sprawl. Agents show up in multiple teams and builder platforms, and before you know it, you’ve got non‑human actors touching sensitive data without a clear inventory, lifecycle, or policy boundary.

Microsoft Entra Agent ID and the Agent Registry (Preview) are designed to solve exactly that bringing identities, governance, and Zero Trust controls to AI agents, so you can securely discover, organize, and manage them easily in your directory.

What Agent Registry Adds (and Why You’ll Care)

Agent Registry is an Microsoft Entra integrated metadata repository that gives you a unified view of agents built on Microsoft platforms (e.g., Copilot Studio, Azure AI Foundry) and those from other ecosystems. It separates operational records (Agent Instances) from discoverability metadata (Agent Card Manifests) and introduces Collections to govern which agents can discover and collaborate with each other. Think discovery before access a crucial shift for reducing exposure.

A Quick Look at the Tenant Experience

Agent ID Overview (Preview) dashboard showing agent counts, status, types, and blueprints: high-level posture of agents, identities, blueprints, and collections

Continue reading →

Creating Your First AI Agent with Azure AI Agent Service

Introduction

Azure AI Agent Service allows you to create, deploy, and manage AI agents that can perform various tasks. This service leverages powerful AI models to enable agents to perform a wide range of tasks, from answering queries to automating complex workflows. With its user-friendly interface and robust infrastructure, Azure AI Agent Service makes it easy for developers to build intelligent agents that can enhance applications and improve productivity.

This guide will walk you through the steps to set up and run your first agent with the help of Azure AI agent service.

Prerequisites:

An Azure subscription.
You need a GitHub Account.
Basic knowledge of PowerShell and Python.

So first step is to setup your workspace in the GitHUb

GitHub Codespaces: A Convenient Cloud-Based Development Environment

GitHub Codespaces offers a virtual machine in the cloud, providing a clean environment with all necessary prerequisites pre-installed. This makes it incredibly easy to set up and run your code, even on a standard laptop without high-end specifications.

Key Features:

Cloud-Based Computation: All computations are performed in the cloud, allowing you to work efficiently on a standard laptop.
Easy Setup: Setting up Codespaces is straightforward and quick, making it accessible for developers of all levels.

Continue reading →