Protect Your Data by Design - Creating a Data Masking Strategy
PASS Data Community Summit via YouTube
Overview
Syllabus
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
Taught by
PASS Data Community Summit