What is データ最小化?
In this glossary, データ最小化 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 データ最小化 used in cybersecurity?
In cybersecurity communication, this term appears in contexts such as: "データ最小化はGDPRの中核原則であり、組織が宣言した目的のために必要なデータのみを収集することを要求します。"
Why does データ最小化 matter in cybersecurity?
データ最小化 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 データ最小化?
データ最小化 is mainly used by SOC Analysts, Security Engineers, and Incident Responders.
What category does データ最小化 belong to?
In this glossary, データ最小化 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.
