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Pseudonymous Data

What is Pseudonymous Data?

Personal data that cannot be attributed to a specific individual without the use of additional information kept separately and securely.

Privacy and Data Protection

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

What the standards actually require on pseudonymous data

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

A controller that discloses pseudonymous or de-identified data must exercise reasonable oversight to monitor compliance with the contractual commitments attached to it and take appropriate steps to address breaches of those commitments.

montana-consumer-data-privacy-act::30-14-2815(5) · 30-14-2815(5): oversight of disclosed de-identified and pseudonymous data →

A controller in possession of de-identified data must take measures to prevent re-identification, publicly commit to maintaining de-identification, and contractually obligate recipients to comply; rights do not apply to de-identified data.

COPA-1307-DEIDENT · De-identified and Pseudonymous Data →

Controllers in possession of de-identified data must take reasonable measures to prevent re-identification, publicly commit to maintaining de-identification, and contractually bind recipients; rights do not apply to de-identified/pseudonymous data.

CTDPA-42-521-DEIDENT · De-identified and Pseudonymous Data →

Whether a natural person is identifiable is judged on all the means that can reasonably be used by the holder or any other party to identify them: identifiers (4.4.1), other distinguishing characteristics (4.4.2), information that is, or could be, tied to a pr...

iso-iec-29100-2024::4.4 · 4.4 Recognizing PII (identifiers, distinguishing characteristics, linkable information, pseudonymous data, metadata, unsolicited PII, sensitive PII) →

Access, correction, deletion and portability rights and the controller duties in IC 24-15-4-1(1) to (5) do not apply to pseudonymous data only where the controller can show that identifying information is kept separately under effective technical and organisat...

indiana-consumer-data-protection-act::24-15-7-2 · IC 24-15-7-2 Pseudonymous data carve-out requires separation under effective controls →

The Act does not require reidentifying deidentified data or associating requests with data a controller cannot reasonably link, and the access, correction, deletion, portability and third-party-list rights do not apply to pseudonymous data whose identifying in...

minnesota-consumer-data-privacy-act::325M.15 · 325M.15(c) to (e): oversight of deidentified and pseudonymous data and no reidentification →

Questions people ask about pseudonymous data

What is Pseudonymous Data?
Personal data that cannot be attributed to a specific individual without the use of additional information kept separately and securely.
Why is Pseudonymous Data important for compliance?
Pseudonymous Data is a key concept in Privacy and Data Protection. Understanding pseudonymous data helps organizations meet regulatory requirements, reduce risk, and demonstrate due diligence during audits. Our compliance platform maps 1,016 frameworks with 316K cross-framework control mappings.
Which compliance frameworks address Pseudonymous Data?
Pseudonymous Data appears in the requirement text of Montana Consumer Data Privacy Act, Colorado Privacy Act, Connecticut Data Privacy Act (CTDPA), ISO/IEC 29100:2024, Indiana Consumer Data Protection Act. Across these standards we have identified 7 controls that name it directly, each linked to the control text on the compliance platform.
Where can I learn more about Pseudonymous Data?
Explore our compliance framework pages to see how pseudonymous data 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 1,016 frameworks.

See how Pseudonymous Data applies across compliance frameworks

Our platform maps 1,016 frameworks with 316K cross-framework control mappings. Explore how this concept is addressed across standards.

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