Dynamic Data Masking
One of the key requirements of secure data access is to prevent certain users from accessing sensitive data. As sensitive data is often intertwined with other data, this is often not a trivial task to perform without slowing down time-to-value. An effective way to serve the same data safely for different users is to selectively mask the data based on the consumer’s identity by applying dynamic masking.
Universal Masking of Sensitive Data
Dynamic data masking is difficult to scale when performed at the data infrastructure level, specifically when using several different data stores.
Satori enables you to apply dynamic masking across all of your data stores, without writing any code and regardless of specific native capabilities.
Dynamic Masking With Zero Configuration
One of the challenges in establishing and maintaining dynamic masking is applying it on multiple locations because doing so often requires manual data engineering and may delay data projects or cause risks.
Satori enables you to apply dynamic masking without configuring specific data locations. The settings are applied by Satori’s continuous sensitive data discovery engine, even as new sensitive data is discovered.
Reusable Dynamic Masking Profiles
Dynamic masking is often performed by applying abstractions (usually by database views). This makes the process cumbersome and error-prone, especially when masking policies need to be modified.
Satori masking definitions are easy to configure and maintain in a masking profile. Applying and modifying masking profiles in your security policies is a simple and straightforward process.
Dynamic Masking of Semi-Structured Data
Semi-structured data is often used in data stores, which often breaks or complicates dynamic masking enabled at the data infrastructure level.
Satori supports dynamic masking of semi-structured data out of the box and without the need to add any specific configurations.