Data Loss Prevention: proactive protection - DLP from A to Z

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Tomasz Królasik

1:29:33

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1. Introduction

1. DLP introduction.mp4

01:24

2. DLP - purpose and why we should use DLP systems

1. The purpose of DLP.mp4

00:54

2. Why we should use DLP systems.mp4

01:33

3. The story.mp4

03:34

3. Data in organizations

1. Data in organizations.mp4

00:30

2. Banks.mp4

01:56

3. State institutions.mp4

02:08

4. Car industry.mp4

02:32

4. Data classifications

1. Data classification - part 1.mp4

01:27

2. Data classification - part 2.mp4

02:05

3. 11. Types of classification mechanisms.mp4

03:06

4. User Classification.mp4

05:08

5. Automatic Classification.mp4

03:03

6. User and Automatic Classification - part 1.mp4

01:24

7. User and Automatic Classification - part 2.mp4

07:39

8. Other Conditions.mp4

03:35

9. Regular Expressions - part 1.mp4

08:35

10. Regular Expressions - part 2.mp4

07:43

11. Regular Expressions - part 3.mp4

12:32

12. Fingerprinting.mp4

03:23

5. We know how to detect a data leakage, but what next

1. Logs, policy fine-tuning, incidents and reports - part 1.mp4

06:05

2. Logs, policy fine-tuning, incidents and reports - part 2.mp4

09:17

Description

DLP - From Concept to Technology Details: data classification and detection, DLP/user interaction, regular expressions

What You'll Learn?

the concepts and ideas behind Data Loss Prevention in detail
what information is stored in various organizations (government, manufacturing companies, etc)
how information can be categorized
what information should be protected
when it is necessary to protect information
how information should be protected
methods of classification
mechanisms for classifying information
ways and types of marking documents with different confidentiality levels

Who is this for?

to all users of DLP systems (current and future)

to people responsible for creating security policies based on DLP technology

to employees who will implement DLP policies

for test users

to people responsible for selecting a specific DLP system

to people implementing the DLP system

and of course to all those who want to learn the secrets of Data Loss Prevention

What You Need to Know?

You do not need to have any prior knowledge about DLP. Everything is explained in an accessible way - both basic concepts as well as more advanced ones.

More details

Description
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 Endpoint 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.
Who this course is for:
to all users of DLP systems (current and future)
to people responsible for creating security policies based on DLP technology
to employees who will implement DLP policies
for test users
to people responsible for selecting a specific DLP system
to people implementing the DLP system
and of course to all those who want to learn the secrets of Data Loss Prevention

User Reviews

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My name is Tom, and my passion for Information Technology has been going strong for over 25 years. A substantial part of my career has been committed to the field of cybersecurity, exploring its secrets for the past 10 years.I specialize in DLP (Data Loss Prevention) and possess extensive knowledge of various technologies such as Digital Guardian, Forcepoint, Microsoft Information Protection, Symantec, and Proofpoint.My professional journey has also led me to the role of an academic lecturer. Sharing my knowledge with aspiring professionals has been an incredibly rewarding experience for me.I specialize not just in DLP but also have programming skills. I am well-versed in languages like Python and C#, and I create web applications that integrate with databases. My interests also extend to the captivating field of artificial intelligence, which I find to be an exciting area of technological development.Throughout my career, I've had the opportunity to work with various organizations (employing up to 120,000 employees), implementing effective data security strategies and developing innovative solutions.

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