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Mastering Identity and Access Management with Microsoft Azure. - Second Edition

You're reading from  Mastering Identity and Access Management with Microsoft Azure. - Second Edition

Product type Book
Published in Feb 2019
Publisher Packt
ISBN-13 9781789132304
Pages 698 pages
Edition 2nd Edition
Languages
Author (1):
Jochen Nickel Jochen Nickel
Profile icon Jochen Nickel

Table of Contents (23) Chapters

Title Page
Copyright and Credits
About Packt
Contributors
Preface
1. Building and Managing Azure Active Directory 2. Understanding Identity Synchronization 3. Exploring Advanced Synchronization Concepts 4. Monitoring Your Identity Bridge 5. Configuring and Managing Identity Protection 6. Managing Authentication Protocols 7. Deploying Solutions on Azure AD and ADFS 8. Using the Azure AD App Proxy and the Web Application Proxy 9. Deploying Additional Applications on Azure AD 10. Exploring Azure AD Identity Services 11. Creating Identity Life Cycle Management in Azure 12. Creating a Security Culture 13. Identifying and Detecting Sensitive Data 14. Understanding Encryption Key Management Strategies 15. Configuring Azure Information Protection Solutions 16. Azure Information Protection Development 1. Other Books You May Enjoy Index

Configuring AIP


Configuring and managing AIP should always start with the global approach for all users. The most important task to do before you start touching the technology is to work on a clear classification schema and the associated policies. Doing the configuration is the smallest part in a classification and information project. You should consider the default labels based on your classification schema, and start without encryption and a lot of automatic classification rules. Start with the global users that understand and work with the new technology. Keep in mind to use a step-by-step approach and work through the specific requirements in the most sensitive departments, such as human resources, legal, or finance. Don't overwhelm your users and don't teach them to lie to your concept and classification system.

Here are some additional tips for data classification:

  • Gather the support of the management and employees who will use the system
  • Tagging and categorizing everything is nearly...
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