在留カード番号

Detects 在留カード番号 patterns. This pattern is based on a Microsoft Purview built-in sensitive information type. Users already running Purview may prefer to enable the built-in SIT directly, or use this version as a starting point for customisation.

Type: regex
Engine: universal
Confidence: high
Confidence justification: High confidence: pattern has strong structural constraints (specific format, prefix, or character class restrictions) that significantly reduce false positive rates. Added context gating and exclusion rules improve precision and reduce incidental matches.
Detection quality: Verified
Jurisdictions: jp
Regulations: APPI
Frameworks: ISO 27001, ISO 27701
Data categories: pii, government-id
Scope: narrow
Risk rating: 9
Platform compatibility: Purview: Compatible, GCP DLP: Compatible, Macie: Compatible, Zscaler: Compatible, Palo Alto: Compatible, Netskope: Compatible

Pattern

\b[A-Z]{2}\d{8}[A-Z]{2}\b

Corroborative evidence keywords

在留カード, residence card, zairyū card, ID number, identification, ID card, license, permit, registration, certificate, data record, database record, record set, data extract, data export, database table, spreadsheet, data registry, registry entry, master data (+13 more)

Proximity: 300 characters

Should match

AB12345678CD — Residence card with letter-digit-letter format
XY98765432EF — Another residence card number
MN45678901GH — Valid residence card format

Should not match

A123456789CD — Only one leading letter
AB12345678C — Only one trailing letter
template example placeholder record identifier — Template/sample context should be excluded even when anchor words are present

Known false positives

The distinctive format (XX99999999XX) is relatively specific but may match some product or serial codes. Mitigation: The structured format provides good inherent validation. Keyword context further improves accuracy.
In multiple languages, 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.

References

Japanese Residence Card Number entity definition - Microsoft Learn