Data desensitization refers to the deformation of certain sensitive information through desensitization rules. The purpose is to protect the security of private data and other information. Data desensitization can technically be divided into static data desensitization and dynamic data desensitization; static data desensitization is generally used in data outgoing scenarios, and dynamic data desensitization is generally used in scenarios where production data is directly connected.
The operating environment of this tutorial: Windows 7 system, Dell G3 computer.
Data desensitization is to deform sensitive data. Its purpose is to protect the security of private data and other information, such as personal identity information, mobile phone numbers, bank card information and other sensitive data collected by institutions and enterprises.
Data desensitization can technically be divided into two types: static data desensitization and dynamic data desensitization.
Static data desensitization is generally used in data outgoing scenarios, for example, production data needs to be exported to developers, testers, analysts, etc.;
Dynamic desensitization is generally used in scenarios where production data is directly connected. For example, operation and maintenance personnel directly connect to the production database for operation and maintenance, and customer service personnel directly retrieve personal information in production through applications. Anjukin and data desensitization technology are already very mature, you can talk to them about it.
When it comes to customer security data or some commercially sensitive data, real data can be transformed and provided for testing without violating system rules, such as ID number, Personal information such as mobile phone numbers, card numbers, and customer numbers all need to be desensitized.
Data desensitization is one of the data security technologies. Database security technologies mainly include: database leak scanning, database encryption, database firewall, data desensitization, and database security audit system. Database security risks include: database dragging, database brushing, and database stuffing.
Through data desensitization products, we can effectively prevent the abuse of private data within the enterprise and prevent the private data from flowing out of the enterprise without desensitization. Satisfy enterprises' need to protect private data while maintaining regulatory compliance and satisfy enterprise compliance.
DMS provides a wealth of built-in desensitization algorithms and flexible, process-based policy and solution management capabilities, supports desensitization processing of multiple data sources, and helps enterprises quickly implement desensitization without changing business processes. Deployment and implementation can effectively reduce the complexity and risk of desensitization and control the cost of desensitization.
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