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Anonymisation

What is Anonymisation?

The irreversible process of altering personal data so that the individual can no longer be identified, directly or indirectly. Properly anonymised data falls outside the scope of data protection regulations such as GDPR.

Privacy

Each of these is named in at least one of the same controls as anonymisation. The number is how many controls name both.

What the standards actually require on anonymisation

Requirements naming anonymisation across 6 standards, quoted from the control text.

Selecting an anonymisation/pseudonymisation scheme should be driven by the data utility required, the threat model (motivated intruder), the data type (microdata, statistical, streaming) and the legal context (whether the goal is GDPR-out-of-scope anonymisatio...

ENISA-DPE-3.4 · Selecting an anonymisation scheme
Turkey KVKK3 controls

Anonymisation must render data permanently and irreversibly non-identifiable, considering means reasonably likely to be used. KVKK Board Anonymisation Guidelines (2018) cover techniques (generalisation, masking, perturbation, k-anonymity) and re-identification...

KVKK-Anonymisation · Anonymisation Standards

Define when research data is anonymised (irreversibly non-identifiable) and therefore outside GDPR, with a robust re-identification-risk assessment.

RDCOC-ANO-01 · Anonymisation Criteria

Apply controls that allow contributors to share without unintended attribution, including pseudonymisation, group sharing, and trusted intermediaries.

TIS-12 · Anonymisation and Attribution Controls

Depersonalisation means actions resulting in the impossibility of attributing personal data to a specific data subject without additional information. Depersonalised data may be processed without the constraints applicable to personal data.

UZB-DPL-20 · Anonymisation and Depersonalisation

Questions people ask about anonymisation

What is Anonymisation?
The irreversible process of altering personal data so that the individual can no longer be identified, directly or indirectly. Properly anonymised data falls outside the scope of data protection regulations such as GDPR.
Why is Anonymisation important for compliance?
Anonymisation is a key concept in Privacy. Understanding anonymisation helps organizations meet regulatory requirements, reduce risk, and demonstrate due diligence during audits. Our compliance platform maps 686 frameworks with 311K cross-framework control mappings.
Which compliance frameworks address Anonymisation?
Anonymisation appears in the requirement text of ENISA Data Protection Engineering - From Theory to Practice, Jamaica Data Protection Act 2020, Turkey KVKK, Code of Conduct on Data Protection for Research (GDPR Article 40), NIST SP 800-150. Across these standards we have identified 12 controls that name it directly, each linked to the control text on the compliance platform.
Where can I learn more about Anonymisation?
Explore our compliance framework pages to see how anonymisation applies across different standards and regulations. Our implementation guides provide step-by-step guidance, and the compliance platform offers AI-powered analysis of how this concept maps across 686 frameworks.

See how Anonymisation applies across compliance frameworks

Our platform maps 686 frameworks with 311K cross-framework control mappings. Explore how this concept is addressed across standards.

Written and maintained by Gerard Blokdyk, The Art of Service.