Protect Your Data by Design - Creating a Data Masking Strategy

Discover strategies for creating an effective data masking plan to protect sensitive information in pre-production environments. Learn about the challenges and solutions in implementing data masking, understand the importance of data protection in the context of frequent data breaches, and explore various data protection methods. Gain insights into static and dynamic data masking techniques, the necessity of maintaining data realism, and the complexities of data dependencies. Understand the importance of data cataloging, creating a business-wide taxonomy, and mapping data movement to identify risk areas. Acquire knowledge on how to overcome traditional obstacles to data masking and develop a comprehensive strategy to ensure data security across your organization's environments.

Intro
So is this a 'vendor session'...?
Goal
Why do we need to protect data? (1)
Where do data breaches come from?
Why do we need to protect data? (3)
Regulations have
There's lots of ways to protect data!
What is Data Masking?
Control available datasets
Static vs Dynamic Data Masking
So technically, is this masked?
What do we have to think about first?
We require Realism
4) words on realism
Data depends on Data
Perfect normalization is a dream
It needs to be fast!
BUT... We can't mask if we don't know what we have!
Understand your data
Catalog your data
Create a business-wide accepted taxonomy
Use THIS for your decisions
know how data moves
Now we know where the risk is. Let's protect it
Mask once and cascade