Book Image

Microsoft Office 365 Administration Cookbook

By : Nate Chamberlain
Book Image

Microsoft Office 365 Administration Cookbook

By: Nate Chamberlain

Overview of this book

Organizations across the world have switched to Office 365 to boost workplace productivity. However, to maximize investment in Office 365, you need to know how to efficiently administer Office 365 solutions. Microsoft Office 365 Administration Cookbook is packed with recipes to guide you through common and not-so-common administrative tasks throughout Office 365. Whether you’re administering a single app such as SharePoint or organization-wide Security & Compliance across Office 365, this cookbook offers a variety of recipes that you’ll want to have to hand. The book begins by covering essential setup and administration tasks. You’ll learn how to manage permissions for users and user groups along with automating routine admin tasks using PowerShell. You’ll then progress through to managing core Office 365 services such as Exchange Online, OneDrive, SharePoint Online, and Azure Active Directory (AD). This book also features recipes that’ll help you to manage newer services such as Microsoft Search, Power Platform, and Microsoft Teams. In the final chapters, you’ll delve into monitoring, reporting, and securing your Office 365 services. By the end of this book, you’ll have learned about managing individual Office 365 services along with monitoring, securing, and optimizing your entire Office 365 deployment efficiently.
Table of Contents (16 chapters)
Chapter 14: Appendix – Office 365 Subscriptions and Licenses

Tuning a sensitive information type's confidence level

When you're creating a DLP policy, you can use sensitive information types (such as Project Wildebeest in the previous recipe). Matches are based on specific patterns and confidence level. The higher the confidence level, the more certain the match must be whereas a lower confidence level will catch more similar matches (though these will include false positives).

You may wish for a higher confidence level when you're more absolutely certain data that should be caught follows a specific pattern each time, such as a routing number within a certain proximity of an account number or SSN. Lower confidence levels will be more inclusive of potential matches and may be helpful for more loosely structured data where, perhaps, a confidential project may be discussed or referenced in numerous ways and structures.

In this recipe, we'll adjust a sensitive information type from the previous recipe (Project Wildebeest...