Αστυνομική Ταυτότητα
Detects Αστυνομική Ταυτότητα 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, gr
- Regulations
- BDSG, CNIL / LIL, GDPR
- 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{6}\b
Corroborative evidence keywords
ταυτότητα, identity card, αστυνομική, ID number, identification, ID card, license, permit, registration, certificate, field, column, row, entry, record, value, form, register, database, extract (+19 more)
Proximity: 300 characters
Should match
AB123456— Greek ID with two-letter prefixXY987654— Another Greek ID formatCD456789— Valid format Greek ID
Should not match
A1234567— Only one letter prefixABC12345— Three-letter prefix with five digitstemplate example placeholder record identifier— Template/sample context should be excluded even when anchor words are present
Known false positives
- Two uppercase letters followed by six digits may match airport codes with flight numbers, product codes, or other alphanumeric references. Mitigation: Require corroborative evidence keywords in Greek or English 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.