Data Masking 101: A Comprehensive Guide
Organizations have both a legal and ethical responsibility to protect sensitive data. According to various compliance laws and regulations, this must be done to precise specifications that minimize the risk of re-identification or other threats.
Are you meeting this standard effectively? Data masking might help answer that question.
Data masking proactively alters sensitive information in a data set in order to keep it safe from risk of leak or breach. This can be done using a range of data masking techniques, making it an integral part of any modern data stack. Examining these different techniques will help you determine what kind of dynamic data masking is most effective for your goals – and most feasible to implement at scale.
In this white paper, you’ll learn:
- What data masking is and why it’s important
- Approaches for applying data masking across your tech stack
- Popular data masking techniques
- Best practices for masking sensitive data
