Data Masking maintains data format and statistical characteristics while hiding sensitive information. It is a key technology for protecting data privacy in development, testing, and data analysis scenarios.

Masking Methods

Static Data Masking (SDM): Permanently transform data copies, suitable for development/testing environments. Dynamic Data Masking (DDM): Real-time masking during queries, does not change underlying data, suitable for production environment real-time access control.

Masking Techniques

Substitution: Replace real values with fake values. Shuffling: Randomly shuffle data within columns. Masking: Replace partial characters with masks. Encryption: Reversible or irreversible encryption. FPE (Format Preserving Encryption): Encryption that maintains the original format.

Conclusion

Data masking is an important component of “Development Security” (DevSecOps), should be automated in CI/CD pipelines.