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     new 25725b86c17 Update _index.en.md (#23204)
25725b86c17 is described below

commit 25725b86c177cf926d2b150bea6be8606a7fd8e2
Author: Yacine Si Tayeb <[email protected]>
AuthorDate: Fri Dec 30 18:55:07 2022 +0800

    Update _index.en.md (#23204)
    
    Updating docs
---
 docs/document/content/features/mask/_index.en.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/document/content/features/mask/_index.en.md 
b/docs/document/content/features/mask/_index.en.md
index c706b3e23fd..457e7f3a284 100644
--- a/docs/document/content/features/mask/_index.en.md
+++ b/docs/document/content/features/mask/_index.en.md
@@ -7,16 +7,16 @@ chapter = true
 
 ## Background
 
-With promulgation and implementation of "Network Security Law", protection of 
personal privacy data has risen to the legal level. Traditional application 
systems generally lack protection measures for personal privacy data.
-Data mask can realize special encryption, masking and replacement of the data 
returned by the production database according to user-defined mask rules 
without any changes to the data in the production database to ensure the 
sensitivity of the production environment data can be protected.
+With the introduction of laws on user data protection, the protection of 
personal privacy data has risen to the legal level. Traditional application 
systems generally lack protection measures for personal privacy data.
+Data masking can achieve special encryption, masking and replacement of the 
data returned by the production database according to user-defined masking 
rules without any changes to the data in the production database to ensure the 
sensitivity of the production environment data can be protected.
 
 ## Challenges
 
-In real business scenarios, relevant business development teams often need to 
implement and maintain a set of masking functions by themselves according to 
data masking requirements, and the masking functions are often coupled in 
various business logics, and different business systems are difficult to reuse. 
When the masking scene changes, the masking function maintained by itself often 
faces the risk of refactoring or modification.
+In real business scenarios, relevant DevOps teams often need to implement and 
maintain a set of masking functions by themselves according to data masking 
requirements, and the masking functions are often coupled in various business 
logics. Additionally different business systems are difficult to reuse. When 
the masking scenario changes, the masking function maintained by itself often 
faces the risk of refactoring or modification.
 
 ## Goal
 
-According to industry's needs for data masking and the pain points of business 
transformation, it provides a complete, safe, transparent, and low 
transformation cost data masking integration solution, which is the main design 
goal of the Apache ShardingSphere data masking module.
+According to industry needs for data masking and the pain points of business 
transformation, it provides a complete, safe, transparent, and low 
transformation cost data masking integration solution, which is the main design 
goal of the Apache ShardingSphere data masking module.
 
 ## Application Scenarios
 

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