Using Data Safely with Masking and Anonymization
This narrated Insight walks through how data masking and anonymization let teams work with rich, realistic data without casually exposing real people. You will hear clear explanations of what these techniques are, where they sit in the data and analytics stack, and how they differ from things like encryption or simple redaction. The focus stays on real-world pressures security and IT teams face: developers needing production-like data, analysts needing broad access, and leaders needing to reduce risk without stopping work.
