What is Data Minimization?
In this glossary, Data Minimization refers to: The principle and practice of limiting personal or sensitive data collection, processing, and retention to only what is necessary for a specified purpose.
How is Data Minimization used in cybersecurity?
In cybersecurity communication, this term appears in contexts such as: "Data minimization is a core GDPR principle requiring organizations to collect only the data necessary for their stated purposes."
Why does Data Minimization matter in cybersecurity?
Data Minimization matters because it supports clear communication in Governance Risk Compliance contexts for SOC Analysts, Security Engineers, and Incident Responders. It also connects to aviation training and exam language such as CISSP, CompTIA Security+, and CEH.
Who uses Data Minimization?
Data Minimization is mainly used by SOC Analysts, Security Engineers, and Incident Responders.
What category does Data Minimization belong to?
In this glossary, Data Minimization is grouped under Governance Risk Compliance. Related pages in this category explain adjacent procedures, commands and operational concepts.
Where does this definition come from?
This definition is sourced from ISO 27001, NIST Cybersecurity Framework, MITRE ATT&CK and published by Protermify Cybersecurity as a static cybersecurity reference page.
