Protects sensitive information by
transforming it into de-identified, realistic-looking
data while retaining original data properties.
- Data remains relevant and meaningful.
- Preserves the shape and form of individual fields.
- Preserves intra-record relationships.
- Preserves join / foreign key relationships.
- Minimize risk of a data security breach.
- Improve compliance with data privacy laws & regulations.
- Reduce costs through outsourcing & off-shoring.
Challenges while Data Masking ?
- Data Utility - masked data must look and act like the real data.
- Data Relationships - must be maintained after masking.
- Existing Business Processes - needs to fit in with existing processes.
- Ease of Use - must balance ease of use with need to intelligently mask data.
- Customizable - must be able to be tailored to specific needs.
Note: Some of the articles are grab from various Websites / Blogs.
No comments:
Post a Comment