Fødselsnummer
Detects Fødselsnummer 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.
- Detection quality
- Verified
- Jurisdictions
- eu, no
- Regulations
- BDSG, CNIL / LIL, GDPR
- Frameworks
- ISO 27001, ISO 27701
- Data categories
- pii, government-id
- Scope
- narrow
- Risk rating
- 5
- Platform compatibility
- Purview: Compatible, GCP DLP: Compatible, Macie: Compatible, Zscaler: Compatible, Palo Alto: Compatible, Netskope: Compatible
Pattern
\b\d{11}\bCorroborative evidence keywords
fødselsnummer, identity number, personnummer, ID number, identification, ID card, license, permit, registration, certificate
Proximity: 300 characters
Should match
01017512345— Norwegian ID (born 1975-01-01)12058856789— Norwegian ID (born 1988-05-12)03039245678— Norwegian ID (born 1992-03-03)
Should not match
1234567890— Too few digits (10)123456789012— Too many digits (12)
Known false positives
- Eleven-digit numeric sequences may match phone numbers or other administrative identifiers. Mitigation: Require corroborative evidence keywords such as "fødselsnummer" or "personnummer" 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.