Secure Azure OpenAI with content safety controls

  • Module
  • 6 Units
Intermediate
Security Engineer
Administrator
Database Administrator
Security Operations Analyst
DevOps Engineer
Azure
Azure OpenAI Service
Azure SDKs
Microsoft Foundry

This course explains how to design secure AI platforms using Microsoft Foundry, applying centralized governance, managed identities, private networking, Azure OpenAI security controls, and container image protection to ensure compliant, production‑ready AI workloads across enterprise environments.

Learning objectives

After completing this module, you will be able to:

  • Configure Azure AI Content Safety to detect harmful content in Azure OpenAI requests and responses
  • Implement content filters and custom block lists to enforce organizational content policies
  • Validate Azure OpenAI model outputs against security and compliance requirements
  • Apply responsible AI governance patterns for production AI infrastructure

Prerequisites

  • Active Azure subscription with permissions to create Azure OpenAI and AI Services resources
  • Familiarity with Azure portal and Azure Resource Manager
  • Basic understanding of Azure OpenAI Service and generative AI concepts

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