User privacy and data security are two core challenges that must be addressed while building modern software systems. At the same time, capturing and replaying user sessions is essential for debugging, issue resolution, and improving user experiences. Balancing these priorities can often feel complex. This is where Dynamic Data Masking within Session Replay comes into play — offering a seamless way to protect sensitive data while preserving session visibility.
In this blog, we’ll break down how Dynamic Data Masking works in session replays, why it’s critical for your applications, and how to implement it efficiently.
What is Dynamic Data Masking in Session Replay?
Dynamic Data Masking (DDM) is a technique for protecting sensitive user data on-specific demand while allowing visibility into overall workflows and UI/UX behavior. Within session replay contexts, this involves masking fields like passwords, credit card numbers, or Personally Identifiable information .