Welcome to the Data Loss Prevention (DLP) in the Enterprise Course! The course comprehensively covers the main concepts in Data Loss Prevention and explains the factors required for modern organizations to successfully implement a Data Loss Prevention Program.
Topics Covered:
Data Loss Incidents
Types of Sensitive Data
Data Formats and Transfer Channels
Sensitive Data Detection Methods
DLP Deployment Types
DLP Solution Types
Data Loss is a Business Risk
DLP is primarily a Process
Data Security Policy
DLP Selection Process
DLP Organization Structure (People Structure)
DLP High Level Processes
Additionally, this course explains the basic concepts of regular expressions and how they could be used for pattern matching to match almost any kind of textual data.
The Regex sessions are structured as below:
Basic Concepts - Metacharacters and their usage.
Challenges and Walkthrough - Practical Challenges for you to attempt your skills at Regular Expressions. Detailed walk through of solution. Examples include different kinds of data in table delimited format, json and xml.
By the end of the course, you would be confident to create your own regular expressions!
Happy Learning and All the Best!
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Topic Background: What is DLP?
Data loss prevention (DLP), is defined as technologies which perform both content inspection and contextual analysis of data sent via messaging applications such as email and instant messaging, in motion over the network, in use on a managed endpoint device, and at rest in on-premises file servers or in cloud applications and cloud storage. These solutions execute responses based on policy and rules defined to address the risk of inadvertent or accidental leaks or exposure of sensitive data outside authorized channels.
DLP technologies are broadly divided into two categories – Enterprise DLP and Integrated DLP. While Enterprise DLP solutions are comprehensive and packaged in agent software for desktops and servers, physical and virtual appliances for monitoring networks and email traffic, or soft appliances for data discovery, Integrated DLP is limited to secure web gateways, secure email gateways, email encryption products, enterprise content management platforms, data classification tools, data discovery tools, and cloud access security brokers.
What are Regular Expressions?
Regular Expression, or regex or regexp in short, is extremely and amazingly powerful in searching and manipulating text strings, particularly in processing text files. One line of regex can easily replace several dozen lines of programming codes.
Regex is supported in all the scripting languages (such as Perl, Python, PHP, and JavaScript); as well as general purpose programming languages such as Java; and even word processors such as Word for searching texts. Getting started with regex may not be easy due to its geeky syntax, but it is certainly worth the investment of your time.
Regular expression synax varies slightly between languages but for the most part the details are the same. Some regex implementations support slightly different variations on how they process as well as what certain special character sequences mean.
