Dynamic Data Masking Compliance Requirements-Translation

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Dynamic data masking refers to data masking operations performed during real data processing. This approach is often used to protect sensitive information or personal privacy from data leakage or misuse.

In real life, we often come into contact with a large amount of data, which contains a lot of personal privacy information, such as ID number, bank account number, phone number, etc. If this sensitive information is leaked out, it may cause great damage to the individual. Therefore, when we process these data, we must desensitize the data to protect personal privacy.

In addition, dynamic data masking can also be used to protect business secrets or other sensitive information of enterprises. For example, when conducting data analysis or system testing , it may be necessary to use real data for simulation, but if the real data is used directly, the business secrets of the enterprise may be leaked, so the data needs to be desensitized.

In short, dynamic data masking is to protect sensitive information or personal privacy. Dynamic data masking refers to a masking program running in the database to mask data at runtime.

When desensitizing dynamic data, there are several compliance requirements that need attention:

Privacy protection regulations: When desensitizing dynamic data, it is necessary to ensure compliance with local privacy protection regulations, such as the "Personal Information Protection Law of the People's Republic of China", etc.

Data security specifications: Dynamic data desensitization needs to comply with relevant data security specifications to ensure that the desensitized data cannot be recovered.

Data usage regulations: When using desensitized data, you need to abide by relevant data usage regulations to ensure the legal use of data.

Data storage specification: Data after dynamic data desensitization needs to be stored in accordance with relevant data storage specifications to ensure data security.

In general, dynamic data masking is an effective means of data protection, but when performing dynamic data masking, it is necessary to comply with relevant compliance requirements to ensure data security and legality.

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Origin blog.csdn.net/Arvin_FH/article/details/132148438