Data Loss Prevention (DLP)
May 1, 2024
2 minute read
Data Loss Prevention (DLP) is a critical cybersecurity measure that helps organizations protect sensitive data from unauthorized access, use, disclosure, modification, or destruction. It involves identifying, classifying, and protecting sensitive data such as financial information, personally identifiable information (PII), intellectual property, and trade secrets.
Understanding Data Loss Prevention
DLP is a multi-layered approach that combines technical and organizational measures to prevent data loss. It involves:
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Find a path to becoming a Data Loss Prevention (DLP). Learn more at:
OpenCourser.com/topic/oxfjsd/data
Reading list
We've selected two books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Data Loss Prevention (DLP).
Provides a practical guide to implementing and managing a DLP program, covering topics such as policy development, data discovery, and incident response.
Provides a high-level overview of DLP for managers and executives, covering topics such as the business case for DLP, DLP regulations, and DLP best practices.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/oxfjsd/data