Citizenship status

Identifies documents containing references to citizenship status in international contexts. This information type is classified as personally identifiable information under applicable data protection regulations.

Type

regex

Engine

boost_regex

Confidence

medium

Confidence justification

category-aware structural regex with anchor and context constraints replaces phrase-only detection. Added context gating and exclusion rules improve precision and reduce incidental matches.

Detection quality

Topic false positive

Jurisdictions

global

Regulations

GDPR

Frameworks

ISO 27001, ISO 27701

Data categories

pii

Scope

wide

Risk rating

3

Platform compatibility

Purview: Compatible, GCP DLP: Compatible, Macie: Compatible, Zscaler: Compatible, Palo Alto: Degraded, Netskope: Unsupported

Pattern

(?is)\b(?:citizenship\s+status|permanent\s+resident|visa\s+holder|residency\s+status|dual\s+citizen|citizen\s+application|nationality\s+status|right\s+of\s+abode)\b

Corroborative evidence keywords

citizenship status, address, age, birthday, citizenship, city, date of birth, [object Object], email, ethnicity, fax, first name, full name, gender, given name, last name, maiden name, middle name, mobile, name (+61 more)

Proximity: 240 characters

Should match

• citizenship status — Primary topic phrase match
• permanent resident — Case-insensitive topic phrase match
• visa holder — Alternative topic phrase match
• residency status — Additional topic phrase match
• Citizenship status: Recorded Name: Avery Teston Date of birth: 14/02/1988 — Populated attribute field with a linked record field (85 tier)

Should not match

• unrelated generic text without domain phrases — No relevant topic phrases present
• placeholder value 12345 — Random text should not match topic-specific regex
• name disability — Generic word pair from old broad template should not match
• Citizenship status: Name: Date of birth: — Empty form: the heading and field labels without values must not corroborate themselves (discovery only)
• Policy guidance: this procedure explains how records about citizenship status are handled, who may access them and how long they are kept. It contains no records about any person or system. — Policy guidance naming the topic without any record (discovery only)
• Citizenship status: Name: Avery Teston — Record with the attribute label but no value: the label must not corroborate itself (discovery only)

Known false positives

• Common words and phrases related to citizenship status appearing in policy documents, training materials, HR templates, or compliance guidelines without actual personal data. Mitigation: Require corroborative evidence keywords within the proximity window to confirm sensitive data context rather than general discussion.
• In English (as the primary international business language), similar terminology used in formal or administrative contexts (education, professional documentation) that does not constitute sensitive data collection. Mitigation: Layer with additional contextual signals such as structured identifiers, form fields, or database column headers to distinguish sensitive records from general references.
• High-frequency pattern matches in large document corpora due to broad regex anchors. Expected match rate is significantly higher than specific identifier patterns. Mitigation: Tune confidence thresholds for bulk scanning. Consider using this pattern primarily as a pre-filter with secondary validation.

References

• Regulation (EU) 2016/679 (General Data Protection Regulation)