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Data Loss Prevention

Name: Data Loss Prevention
Price: 49.99 USD
Availability: InStock

About this course

Data Loss Prevention (DLP) is a computer security term referring to systems that identify, monitor, and protect data in use, data in motion, and data at rest. Experts accomplish this through deep content inspection, contextual security analysis of transaction, and with a centralized management framework. This course will begin with a discussion of topics relating to Data Loss Prevention such as Data Loss, Data Recovery, Data Categories, and the Data Life cycle. Computer Security, Cloud Security, and Cyber Security Standards are other topics that will be included in this course.

55/100

CourseAsk score

What the provider tells you: 31/45
Who stands behind it: 8/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

Explain the core concepts of Data Loss Prevention and the data life‑cycle
Identify different data categories and assess risks of data loss
Apply deep content inspection and contextual security analysis to monitor data
Configure a centralized DLP management framework
Understand how computer, cloud, and cybersecurity standards influence DLP implementations

Course objectives

Describe how DLP systems detect and prevent unauthorized data exposure
Demonstrate the use of inspection and analysis techniques in real‑world scenarios
Outline best practices for managing DLP policies across an organization

Cybersecurity #cloud security #data protection #data lifecycle #cybersecurity #data recovery #computer security #data loss prevention #data classification #deep content inspection #contextual security analysis #centralized management #cyber security standards #data categories #data in use #data in motion #data at rest

$49.99

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