DLP – From Concept to Technology Details: data classification and detection, DLP/user interaction, regular expressions
This comprehensive DLP course explains Data Loss Prevention concepts, techniques, and best practices from A to Z in an accessible way, requiring no prior DLP knowledge.
It covers basic and advanced DLP topics relevant to a wide audience including current/future DLP users, those involved in creating security policies, implementing DLP policies, selecting DLP systems, and anyone wanting to learn DLP fundamentals.
Specific topics include:
DLP concepts and rationale;
types of sensitive information stored in various organizations;
information categorization and classification methods;
criteria for determining what data to protect;
when and how to protect data;
advanced classification techniques;
sensitive data detection mechanisms;
reaction to user actions (interaction with the users);
planning appropriate DLP strategies and policies to meet legal/organizational data protection requirements;
explanation of the concept of regular expressions (regex) along with an in-depth analysis of both simple, basic examples and more complicated ones (bank account numbers, credit cards).
The vendor-neutral material focuses on universal DLP system capabilities and features to help you evaluate providers based on your organization’s needs. Thanks to the acquired knowledge, you will know what to expect from DLP systems and assess how to supplement security requirements. As a DLP user, you will know how to handle and protect confidential information. Whether you need to implement DLP for your organization or simply want to learn DLP essentials, this course has you covered.
