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EIEIO / CYBERSECURITY

Implement information protection and data loss prevention by using Microsoft Purview

Course outline

SC-50031 day

Duration

1 day

Course Overview

Gain the skills to use Microsoft Purview to improve your data security in Microsoft 365. In this training, you learn how to create sensitive information types, create sensitivity labels, and use auto-labeling policies based on these labels. You also learn how to set up DLP (Data Loss Prevention) policies to safeguard your organization's data.

Prerequisites

  • Basic understanding of Microsoft 365 products and services
  • Familiarity with Microsoft Purview
  • An understanding of data security concepts

Introduction

  • Foundations of data security and compliance with Microsoft Purview
  • Know your data
  • Protect your data
  • Prevent data loss
  • Govern your data

Learning objectives

  • Understand the key concepts of data security and governance.
  • Explain the importance of data classification, labeling, and protection.
  • Identify how to use Microsoft Purview for data protection and compliance.
  • Recognize the role of data loss prevention (DLP) in safeguarding sensitive information.
  • Explore how to apply retention and deletion policies to manage data lifecycle and records.
  • Describe how to govern data across cloud, on-premises, and SaaS environments.

Prerequisites

  • Basic understanding of data management concepts.
  • Familiarity with general compliance and regulatory requirements for information protection.
  • Experience using Microsoft 365 or similar cloud services.

Introduction

  • Sensitive information type overview
  • Compare built-in versus custom sensitive information types
  • Create and manage custom sensitive information types
  • Create and manage exact data match sensitive info types
  • Implement document fingerprinting
  • Describe named entities
  • Create a keyword dictionary

Learning objectives

After completing this module, you'll be able to:

  • Recognize the difference between built-in and custom sensitivity labels.
  • Configure sensitive information types with exact data match-based classification.
  • Implement document fingerprinting.
  • Create custom keyword dictionaries.

Prerequisites

  • Basic understanding of the Microsoft 365 services
  • Basic understanding information protection and governance in Microsoft 365

Introduction

  • Sensitivity label overview
  • Create and configure sensitivity labels and label policies
  • Configure encryption with sensitivity labels
  • Implement auto-labeling policies
  • Use the data classification dashboard to monitor sensitivity labels

Learning objectives

Upon completion of this module, you should be able to:

  • Understand the basics of Microsoft Purview sensitivity labels in Microsoft 365.
  • Create and publish sensitivity labels to classify and safeguard data.
  • Configure encryption settings with sensitivity labels for improved data security.
  • Implement auto-labeling for consistent data classification and protection.
  • Use the Microsoft Purview data classification dashboard to monitor sensitivity label usage.

Prerequisites

  • Knowledge of Microsoft 365 workloads at a beginner level.
  • Experience with the Microsoft Purview compliance portal at a beginner level.
  • Insight into the importance of data security in an organizational context at a beginner level.
  • Familiarity with data governance and compliance frameworks at a beginner level.

Introduction

  • Data loss prevention overview
  • Plan and design DLP policies
  • Understand DLP policy deployment and simulation mode
  • Create and manage DLP policies
  • Integrate Adaptive Protection with DLP
  • Use DLP analytics (preview) to identify data risks
  • Understand DLP alerts and activity tracking

Learning objectives

When you finish with this module, you'll be able to:

  • Understand the purpose and benefits of Microsoft Purview DLP.
  • Plan, design, simulate, and deploy DLP policies.
  • Apply Adaptive Protection for dynamic, risk-based data controls.
  • Use DLP analytics to improve policy effectiveness.
  • Monitor, investigate, and refine policies using alerts and activity tracking.

Prerequisites

  • Cloud computing concepts
  • Microsoft 365 product and services

Introduction

  • Exercise - Configure your environment for administration
  • Exercise - Create a sensitive info type
  • Exercise - Create and publish a sensitivity label
  • Exercise - Create a data loss prevention (DLP) policy

Learning objectives

In this module you learn how to:

  • Create sensitive information types.
  • Implement sensitivity labels.
  • Apply auto-labeling policies.
  • Enforce data loss prevention policies.

Prerequisites

None

Programme scope, delivery arrangements and suitability are confirmed during enquiry.