Back to Module
3 of 4|Privacy Engineering
video 15 min•Technical Controls
Masking
Protecting data in non-production environments.
🎯 Learning Objectives
- ▸ Understand why data masking is necessary
- ▸ Learn static vs dynamic data masking
The Dev Environment Risk
Many data breaches happen in development environments. Developers often copy production databases to test new features. If that database contains real customer data, it is a massive security risk.
Data masking solves this. It replaces real names, credit card numbers, and emails with fake ones, while preserving the format and relationships in the data.
📖 Glossary
- Data Masking
- The process of replacing sensitive data with realistic but non-sensitive data.
- PII
- Personally Identifiable Information, any data that could potentially identify a specific individual.
🔑 Key Takeaways
- Never use production data in test environments.
- Masking allows developers to work without seeing real PII.
- Static masking creates a copy; dynamic masking masks on the fly.
📚 Further Reading
- Data Masking Best Practices — Gartner (2021)
Course Author
Shilpi Kulshrestha
Shilpi is a corporate lawyer with over a decade of experience in data protection, company law, and regulatory compliance. She has advised 50+ startups and enterprises on DPDPA readiness, privacy gover...