Solitera Data Masking Tool
Solitera Data Masking tool is to defend sensitive data from exposure in non-production environments supporting best practices using Randomization and AES Encryption techniques.
Solitera Data Masking tool is to defend sensitive data from exposure in non-production environments supporting best practices using Randomization and AES Encryption techniques.
Data masking is a method of creating a structurally similar but inauthentic version of an organization’s data. The purpose is to protect the actual data while having a functional substitute for occasions when the real data is not required.
Although most organizations have stringent security controls in place to protect production data in storage or in business use, sometimes that same data has been used for operations that are less secure. The issue is often compounded if these operations are outsourced and the organization has less control over the environment. In the wake of compliance legislation, most organizations are no longer comfortable exposing real data unnecessarily.
Employee Table :- Without data masking
Employee_ID | Employee_Name | |
---|---|---|
E101 | sanky | sankayhayuj@gmail.com |
E102 | monu | monu12456@gmail.com |
E103 | Johanson | Johanson456@gmail.com |
E104 | Rehan | Rehan1456@gmail.com |
Employee Table :- With data masking
Employee_ID | Employee_Name | |
---|---|---|
E101 | sanky | sa#######uj@gmail.com |
E102 | monu | mo#####56@gmail.com |
E103 | Johanson | Jo#######56@gmail.com |
E104 | Rehan | Re#####56@gmail.com |
Speed
In Application development “speed to market” is the overall goal but without data masking there is a risk of breach.
Boundaries
We provide dynamic and static data masking to ensure that sensitive information is unavailable beyond the permitted production environment.
Accurate Data
Data masking allows you to work with accurate data without re-engineering or identifying the original values. This allows developers to have the opportunity to work with data that is similar to what they would be working on in a live production environment by using synthetic data.
Real Time
We provide Dynamic: “on the fly” real-time data masking of production data and Static: protecting specific data elements at rest, typically database column or flat-file field values.
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