Join Pete Zerger for an in-depth discussion in this video Implement DLP for unmanaged mobile devices, part of Microsoft Cybersecurity Stack: Securing Enterprise Information.
- [Instructor] We're going to look at creating…an Intune app protection policy in the Azure portal.…I'll start by browsing to portal.azure.com.…I'll log in with my KinetEco Energy Azure ID user account.…So Intune app protection policies,…which are created in Intune mobile application management…or Intune MAM, as it's often called,…are the key to helping us control behavior…in a number of scenarios.…It allows us to control user behavior at the app level…on devices enrolled in Intune,…devices managed by a third party…mobile device management solution,…or even on devices that are not managed by any MDM solution.…
So bring your own device scenarios.…So I'll click on my Intune mobile app management tile,…which I have pinned to my dashboard.…Again, if you haven't pinned that already,…simply go down to more services in the lower left…and search and pin it to your own.…So I want to look at the app policies here.…And I'm going to take you through a policy…that I've already created,…and we'll talk about the settings and what these mean…
In this course—the third installment in the series—Microsoft MVP Pete Zerger demonstrates how to leverage the Microsoft cybersecurity stack to more effectively protect corporate information—on any device and in any cloud. Pete explains how to use Azure Information Protection (AIP) to protect information, as well as how to secure data on mobile devices. Plus, he covers identifying and controlling shadow IT, securing structured data in Azure, and more.
- Securing information on any device
- What is Azure Information Protection (AIP)?
- Configuring classification and labeling
- Classifying and protecting data in bulk
- Challenges of securing data on mobile devices
- Data loss prevention (DLP) on mobile devices
- Identifying and controlling shadow IT
- Securing collaboration and DLP
- Configuring dynamic data masking
- Protecting Azure SQL with SQL Threat Detection