Protecting data is essential, especially the most sensitive data. No business wants to see its data exposed, as such a situation can lead a business to bankruptcy. More than ever, companies are concerned about the security of their information as a result of the growing importance that data has gained in recent years. One of the most effective ways to protect confidential information is through data masking. Data masking aims at creating a structurally identical but not equal version of the data. This technique creates a database with fictitious but realistic information that can be used for testing and training purposes. Data masking solutions offer a variety of sophisticated scrambling techniques to protect sensitive data, irreversibly replacing it with unrealistic data while maintaining referential integrity of the database. It is therefore a real and growing need in contemporary organizations. In today’s article, we present the advantages of masking your data with Datapeers!
With data masking you can use sensitive data in test environments and ensure that confidential information remains unwavering. This masked information may be used for marketing and auditing purposes, as well as for consumer behavior analysis and market trends, for example. The data you use is not real, but maintains its integrity, which ensures that the end result is reliable.
Previously, data masking work had to be done manually, which consumed many resources and many hours of work. Moreover, the likelihood of human error was very high. With software that does this job, such as Datapeers, an entire system can be masked in just a few hours because the execution time is greatly reduced. Thus, in addition to gaining advantages in terms of resource savings, there is also the advantage of ensuring that no errors occur and that private data is not exposed.
With data masking techniques information can be used in application testing, data analysis and reporting and by companies outside the organization. Sensitive information is protected against any internal and external attacks. In addition, data masking helps companies comply with data protection laws and avoid the huge fines that the regulations provide for.