SI-19 — De-identification
De-identification is the general term for the process of removing the association between a set of identifying data and the data subject. Many datasets contain information about individuals that can be used to distinguish or trace an individual’s identity, such as name, social security number, date and place of birth, mother’s maiden name, or biometric records. Datasets may also contain other information that is linked or linkable to an individual, such as medical, educational, financial, and employment information. Personally identifiable information is removed from datasets by trained individuals when such information is not (or no longer) necessary to satisfy the requirements envisioned for the data. For example, if the dataset is only used to produce aggregate statistics, the identifiers that are not needed for producing those statistics are removed. Removing identifiers improves
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NIST CSF 2.0 informative references
These CSF Subcategories list this base control or one of its enhancements in the imported NIST informative reference.
NIST SP 800-171 and SP 800-172
SP 800-171 requirements sourcing this control
SP 800-172 enhanced requirements sourcing this control
MITRE D3FEND techniques
MITRE ATT&CK relationships
Curated mitigation mappings
Inferred behavior relationships
Experimental: These relationships are inferred through D3FEND and must be validated against architecture, telemetry, and threat context.
Use the map without overclaiming.
A CSF informative reference is not an equivalence statement. A source-control relationship is not proof of implementation. A D3FEND semantic relationship is not a product claim. An inferred ATT&CK link is a hypothesis for engineering analysis.
Bare Metal Cyber is an independent educational publisher and is not affiliated with or endorsed by NIST or MITRE. Informative references and cross-framework relationships support navigation and analysis; they do not establish compliance, applicability, equivalence, control inheritance, or guaranteed mitigation effectiveness.