hands-on lab

Inspecting and De-Identifying Data With Google Cloud Data Loss Prevention

Difficulty: Intermediate

Duration: Up to 45 minutes

Students: 2,519

Rating: 4.5/5

Start lab

On average, students complete this lab in25m

Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.

Learn and validateUse validations to check your solutions every step of the way.

See resultsTrack your knowledge and monitor your progress.

About

Author

Description

Data has become an essential source of value for enterprises. Because of this, companies need to protect and handle data in a secure, efficient way. Following this guideline, Google offers Cloud Data Loss Prevention (CDLP). This is a fully managed service that helps you analyze, inspect, and de-identify your data. By using CDLP, you can inspect millions of data and understand which of them are sensitive and should be de-identified or encrypted. You can also automatically let it mask your sensitive data (this operation is known as de-identifying). CDLP has more than one hundred infoTypes. An infoType is a type that represents a piece of sensitive information, such as a date, a name, an email address, or a phone number. When you let CDLP de-identify your data, it will mask all pieces of information that are associated with one of the predefined infoTypes.

In this lab, you will upload data to a Cloud Storage bucket, you will start an inspection of this data to understand whether it contains sensitive information, and you will de-identify sensitive information by using REST APIs.

Learning Objectives

Upon completion of this lab, you will be able to:

Set up an inspection of data stored in Cloud Storage
Review inspection results to understand whether the data contains sensitive information
De-identify sensitive data inside a text file