The methods of data desensitization mainly include

The methods of data desensitization mainly include data replacement, backward inference, migration and rounding, mask masking, flexible coding and invalidation.

Specific meaning

Data desensitization refers to the deformation of some sensitive information through desensitization rules to achieve reliable protection of sensitive privacy data. In this way, desensitized real data sets can be safely used in development, testing, other non-production environments and outsourcing environments.

In the case of customer security data or some commercially sensitive data, it is necessary to desensitize real data and provide it for testing without violating system rules, such as personal information such as ID number, mobile phone number, card number and customer number. Is one of the database security technologies.

strong function

Data desensitization products can effectively prevent the abuse of private data within the enterprise and prevent private data from flowing out of the enterprise without desensitization. In order to meet the needs of enterprises, it is necessary to protect private data while maintaining regulatory compliance and meeting corporate compliance.

DMS provides rich built-in desensitization algorithms and flexible and streamlined strategy and scheme management capabilities, supports desensitization of various data sources, helps enterprises to quickly deploy and implement without changing business processes, effectively reduces the complexity and risk of desensitization, and controls desensitization costs.

Matters needing attention

It should be noted that the selection of desensitization methods should comprehensively consider data sensitivity, data security requirements, usage scenarios and other factors. At the same time, different desensitization methods should be selected according to different types of sensitive data to achieve the best protection effect. In addition, before desensitization, data must be backed up to avoid unexpected situations during operation.

In a word, data desensitization technology is one of the important means to ensure data security and privacy protection. With the continuous expansion of data application scenarios and the continuous improvement of data security requirements, the development and research of data desensitization technology will become more and more important.