![]() With the passage of time, the challenges are getting bigger, and the solutions are also becoming diverse.Įarlier, there were few techniques that were applied, but now there is a number of techniques that can be implemented. There are numerous techniques that are applied to avail the opportunity. This type is explicitly suitable for environments that perform continuous deployment for highly integrated applications. On the fly data masking is applied where environment-to-environment data transferring is done. Non-production users could never have an estimate of actual statistics in this type of data masking. The masquerading of these statistics is called the statistical data obfuscation. The production data of the company possesses different figures which are referred to as statistics. So, the original data will only be seen by the users, while the non-privileged users could see the dummy data only.Ībove are the main types of data masking, but the following types are also used. In dynamic data masking, the important information is altered in real time only. This dummy content does not influence the working of the database at the time of real-world testing. In the case of static data masking, a duplicate of the database is prepared, and it is identical to the real database except for those fields that are to be faked or masked. Now, there are two major types, one is static, and the second one is dynamic. It has different types that serve the same cause, but their way of proceeding remains different. So, to cope with this menace of data, the masking technique is applied. It is becoming popular among the organizations, and the reason behind this is an escalating cyber security threat. Data masking is a special technique that is applied to make your data non-accessible for non-production users.
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