Anonymization of data: The process of removing or obfuscating personally identifiable information from a dataset in such a way that the individuals whom the data describes remain anonymous. Techniques for data anonymization might include data masking, pseudonymization, and data shuffling. The goal is to protect individual privacy, especially in cases where data is shared or published, while still enabling useful analysis of the data.
Categories: CC D5: Security Operations | CCSP D2: Cloud Data Security | CISM D3: Information Security Program | CISSP D1: Security and Risk Management | Security+ D1: General Security Concepts | SSCP D3: Risk Identification Monitoring and Analysis
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