Microsoft Information Protection and Compliance: Implementing Information Protection
Unlock data protection mastery with this course. Learn how to manage sensitive info, classify data, apply label policies, and implement email encryption in Microsoft Purview.
What you'll learn
Data security and information protection are essential in today's organizations. In this course, Microsoft Information Protection and Compliance: Implementing Information Protection, you’ll learn to manage sensitive information, classify data effectively, create trainable classifiers, implement sensitivity labels, and set up email encryption in Microsoft Purview. First, you’ll explore how to identify and manage sensitive data requirements, translating them into sensitive information types and implementing document fingerprinting. Next, you’ll discover the design and creation of trainable classifiers, testing, and retraining. Finally, you’ll learn how to implement and manage sensitivity labels, define label policies, configure auto-labeling, and apply bulk classification to on-premises data. When you’re finished with this course, you’ll have the skills and knowledge of information protection solutions needed to effectively secure data, ensure compliance, and prevent breaches within your organization.
Table of contents
- Overview 4m
- Identifying Sensitive Information Requirements 7m
- Translating Requirements into Sensitive Info Types 5m
- Creating and Managing Custom Sensitive Info Types 4m
- Implementing Exact Data Match (EDM) Classifiers 4m
- Document Fingerprinting Techniques 2m
- Real-world Scenario 2m
- Demo: Granting Compliance Admin Role 2m
- Demo: Creating Sensitive Info Type 3m
- Demo: Creating EDM-based Sensitive Info Type 9m
- Demo: Testing Custom Sensitive Info Type 2m
- Summary 3m
- Overview 3m
- Understanding Trainable Classifiers 3m
- Real-world Scenario for Trainable Classifiers 2m
- Implementing Trainable Classifiers 3m
- Demo: Managing Trainable Classifiers 7m
- Testing and Fine Tuning Classifiers 3m
- Real-world Scenario for Ongoing Accuracy 2m
- Demo: Retraining a Trainable Classifier 4m
- Summary 2m