Dowód osobisty
Detects Dowód osobisty 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
- medium
- Confidence justification
- Medium confidence: pattern has structural constraints but corroborative keywords are recommended to reduce false positive rates. Added context gating and exclusion rules improve precision and reduce incidental matches.
- Detection quality
- Verified
- Jurisdictions
- eu, pl
- Regulations
- BDSG, CNIL / LIL, GDPR
- Frameworks
- ISO 27001, ISO 27701
- Data categories
- pii, government-id
- Scope
- narrow
- Risk rating
- 7
- Platform compatibility
- Purview: Compatible, GCP DLP: Compatible, Macie: Compatible, Zscaler: Compatible, Palo Alto: Compatible, Netskope: Compatible
Pattern
\b[A-Z]{3}\d{6}\b
Corroborative evidence keywords
dowód osobisty, identity card, ID card, ID number, identification, license, permit, registration, certificate, field, column, row, entry, record, value, form, register, database, extract, export (+18 more)
Proximity: 300 characters
Should match
ABC123456— Polish ID card with three-letter seriesXYZ987654— Another Polish ID cardMNO456789— Valid format Polish ID
Should not match
AB123456— Only two lettersABC12345— Only five digitstemplate example placeholder record identifier— Template/sample context should be excluded even when anchor words are present
Known false positives
- Three uppercase letters followed by six digits may match airline booking codes, tracking numbers, or product serial numbers. Mitigation: Require corroborative evidence keywords such as "dowód osobisty" or "identity card" within the proximity window.
- 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.