Law / Frameworks / NIST Privacy Framework / Control-P
NIST Privacy Framework, Control-PCT.DP-P2
Data are processed to limit the identification of individuals (e.g., de-identification privacy techniques, tokenization).NIST Privacy Framework, version 1.0, January 2020, CT.DP-P2
We read each law below as bearing on this control. That does not mean the control, done well, meets the law: what each law asks is on its own page. Law library as of .
- 9
- laws
- 9
- jurisdictions
- 1
- with court rulings behind it
- 0
- not yet in force
Related controls in other frameworks the same duties, in at least two laws we track, reach both
- FINOS AIGFAIR-DET-004 AI System Observability, 2 laws
- FINOS AIGFAIR-DET-021 Agent Decision Audit and Explainability, 2 laws
Sensitive categories
6 laws, 6 jurisdictions| Jurisdiction | Law | What it asks, as read here |
|---|---|---|
| LGPD, sensitive personal data and children's data |
Give a public-health research body access to personal data only within a controlled and secure environment, anonymized or pseudonymized where possible, and never transfer that data to a third party. |
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| Rulebook on Processing Health and Other Personal Data in National Health Information Systems, Security Measures and Access Rules |
If you operate or build a system that stores or processes health or other personal data in a Croatian national or institutional health information system, process the data with appropriate security and confidentiality and apply pseudonymization, encryption, restoration and regular testing measures (Rulebook Articles 6 and 7). |
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| Health Data Use Act (GDNG) Sections 1 and 6 to 9, Secondary Use and Protection of Health Data |
If you operate a health care facility that further processes health data it stores lawfully under GDPR Article 9(2)(h) or (i) for quality assurance, patient safety, research or statistics, pseudonymize the data, anonymize it as soon as the purpose allows, and delete it no later than 30 years after the further processing began (GDNG Section 6, paragraph 1). |
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| Loi n° 2022-59, données sensibles, de santé et biométriques |
Limit the exchange of health data between health professionals to what coordination or continuity of care strictly requires, and anonymize health data before sharing it or publishing research drawn from it. |
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| GDPR Article 9, Special Categories of Personal Data as Applied in Portugal |
Process the biometric data of a worker in Portugal only for attendance control and for control of access to your premises, use only representations of the biometric data, and collect it in a way that does not allow the data to be reversed, under Lei 58/2019 Article 28(6). |
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| HIPAA Privacy Rule |
Strip biometric identifiers, including voiceprints and full-face photographic images, before treating health data as de-identified. |
Comprehensive regime
3 laws, 3 jurisdictions| Jurisdiction | Law | What it asks, as read here |
|---|---|---|
| Ley 25.326, Ley de Protección de los Datos Personales |
Treat opinion-poll, market-research, or scientific-research data as outside this Act only while it cannot be attributed to an identifiable person, and apply a dissociation technique where anonymity cannot otherwise be kept during collection. |
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| Loi n°001-2021/AN du 30 mars 2021 portant protection des personnes à l'égard du traitement des données à caractère personnel |
Obtain the CIL's authorization, given after the Health Research Ethics Committee's concurring opinion, before processing personal data for health research, anonymize the data before transmission wherever the research's purpose allows it, and host any health data that still permits identification on national territory. |
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| Superintendencia Circular on AI and Personal Data |
Apply privacy by design and by default, including techniques such as differential privacy, so that data used to train an artificial intelligence system does not allow the person who provided it to be identified. |
Full text of the NIST Privacy Framework, public domain (a US government work). Every control of the framework.