AI workload governance and DLP

  • Learning Path
  • 2 Modules

At a glance

AI workloads require not just performance—but precision in governance and data protection. This learning path guides Cloud Administrators through the essentials of data loss prevention (DLP) and AI policy governance in Azure. You’ll explore techniques to restrict data movement and enforce guardrails using Azure Policy. By the end of these modules, you'll be equipped to implement robust governance strategies that protect sensitive information and ensure responsible use of AI at scale.

Prerequisites

  • Experience navigating the Azure portal
  • Familiarity with Microsoft Azure Networking
  • Basic AI knowledge and familiarity with AI services on Azure

Modules in this learning path

Prevent data exfiltration from Azure AI Workloads

Learn how to configure Azure Machine Learning and Azure AI services workloads to prevent data exfiltration.

Govern AI services with Azure Policy

Learn how to govern AI services on Azure with Azure Policy including how to apply policy definitions and assess AI workload compliance.

Start