When it comes to complete Amazon Aurora database security solution then it mainly includes data masking, database firewall, SQL Injection Prevention and Segregation of Duties. There is no doubt that data masking is actually essential for keeping the database fully secure from being misused or theft. More to the point, when it comes to data masking, it mainly includes, column level masking, Row level / Conditional masking, Multiple masking functions, Dynamic Data Masking for Stored Procedures and Views, Database and application layer remain unchanged. The main motive of data masking or data obfuscation is to hide the original data with random characters or data. The main purpose of applying masking to a data field is to protect the data which is mainly classified as personal sensitive data, personal identifiable data or commercial sensitive data. However, the data must be remained usable for undertaking valid test cycles.
If you are also using Amazon Aurora database then you should also getting Amazon Aurora data masking to keep your database fully protected from hackers as well as intruders. Basically, data masking is also done with the assurance that the data would look authentic as well as appear consistent. Generally, data masking is applied to the data mainly represented outside of a corporate production system. For instance, data may be required for the purpose of building program extensions, application development as well as conducting several test cycles. However, the data is not always restricted for the non-production environment.