The system supports high-availability (HA)-based cluster deployment to meet the performance demands of data environments with high traffic. This ensures that the data desensitization process can handle high-volume data securely and efficiently.

The system offers comprehensive support for data masking across various data sources, including traditional databases such as MySQL, SQL Server, and Oracle, as well as big data architectures like HBase and MongoDB. Additionally, it facilitates the masking of file formats such as TXT, EXCEL, and CSV to ensure data is desensitized effectively.

For business-related data, the desensitization system supports automatic identification and allows for customized policy configuration. This ensures that the data remains in a business context after it has been masked, preserving the relationships necessary for conducting business while maintaining high data availability post-desensitization.

The data desensitization system is equipped with a variety of built-in masking rules, including synonym substitution, data obfuscation, random replacement, offset, encryption and decryption, randomization, and reversible desensitization. It features over a dozen types of localized bleaching rules and algorithms for Chinese private data, offering flexibility for practical application scenarios.