Data Loss Prevention
About this course
The course walks through the fundamentals of Data Loss Prevention, covering how to identify and protect data in use, in motion, and at rest. It examines topics such as data loss, data recovery, data categories, and the data life‑cycle, and also looks at computer security, cloud security, and relevant cyber‑security standards. Practical techniques like deep content inspection, contextual security analysis, and centralized management frameworks are explained throughout. By the end, you’ll see how these concepts fit together to safeguard an organization’s information assets.
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
Price shown by Udemy — confirm on their site.
Enroll on UdemyYou'll be redirected to Udemy to complete enrollment.
- Listed & compared by CourseAsk
- English · 0
Compared on these lists
Where this course ranks against the alternatives.