Review of ISO/IEC Standards for Data Privacy: De-Identification and Privacy Frameworks

In the ever-evolving landscape of data protection, understanding ISO/IEC standards is crucial for professionals looking to align with global best practices. These standards help organizations implement privacy controls, reduce re-identification risks, and establish frameworks for secure data handling. This article offers a focused review of two critical groups of ISO/IEC standards: those related to data de-identification and those addressing privacy frameworks.


The Scope of ISO/IEC Privacy Standards

It’s important to note that ISO/IEC has published dozens of standards relevant to information privacy. However, for practical and instructional purposes, this review highlights an illustrative selection of key standards. These standards offer valuable frameworks and definitions to help mitigate privacy risks and support regulatory compliance.


Group 1: Data De-Identification Standards


✅ ISO/IEC 20889: Terminology and Classification of Techniques

This standard introduces foundational terminology and classifies various techniques used for data de-identification, such as:

  • Anonymization
  • Pseudonymization
  • Data masking and generalization

Understanding these concepts is essential for mitigating privacy risks in data-sharing environments. ISO/IEC 20889 serves as a baseline for terminology, enabling organizations to implement consistent and reliable de-identification practices.


✅ ISO/IEC 27559: Framework for Privacy-Enhancing De-Identification

Published in 2022, ISO/IEC 27559 builds on 20889, offering a risk-based framework for managing and mitigating re-identification risks across the data lifecycle.

Key Components of ISO/IEC 27559:

  1. Context Assessment:
    Identify the purpose, stakeholders, and privacy needs involved in data sharing.
  2. Data Assessment:
    Evaluate data structure and types to anticipate potential attack surfaces.
  3. Identifiability Assessment & Mitigation:
    Analyze how personal data might be inferred and apply controls to reduce risks—often using techniques from ISO/IEC 20889.
  4. De-Identification Governance:
    Define roles, responsibilities, and policy structures for maintaining data privacy.

Related Guide: Data Anonymization Techniques Explained


Group 2: Privacy Framework Standards


✅ ISO/IEC 27701: Privacy Information Management System (PIMS)

An extension of ISO/IEC 27001 (information security) and 27002 (security controls), ISO/IEC 27701 focuses specifically on privacy information management.

Core Focus Areas:

  • PIMS Requirements:
    Defines privacy-specific extensions to the 27001 framework.
  • PIMS Guidance:
    Offers actionable recommendations derived from ISO/IEC 27002, tailored to privacy contexts.
  • Roles and Responsibilities:
    Provides clear directives for PII Controllers and PII Processors—outlining how both groups can uphold privacy standards through accountability, governance, and technical controls.

ISO/IEC 27701 is essential for organizations aiming for GDPR compliance or similar regulatory benchmarks, offering a scalable method to integrate privacy into existing ISMS (Information Security Management Systems).

Read More: What is ISO 27001? A Beginner’s Guide


Final Thoughts

ISO/IEC standards provide more than just technical definitions—they deliver actionable frameworks for organizations managing sensitive personal data. Whether you’re focused on de-identifying data for safe sharing or building a complete privacy management system, these standards offer guidance that aligns with legal, technical, and ethical dimensions of privacy protection.

For professionals in cybersecurity, data governance, or privacy law, understanding and applying these standards is a critical step toward robust compliance and risk mitigation.

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