Mobile payment account IDs
Detects references to mobile payment account ids in financial and compliance documents. Commonly found in international regulatory filings, transaction records, and audit documentation.
- Type
- regex
- Engine
- boost_regex
- Confidence
- medium
- Confidence justification
- identifier/document-structure anchored regex with constrained context replaces phrase-only detection. Added context gating and exclusion rules improve precision and reduce incidental matches.
- Detection quality
- Mixed
- Jurisdictions
- global
- Regulations
- GDPR, PCI-DSS
- Data categories
- financial
- Scope
- wide
- Platform compatibility
- Purview: Compatible, GCP DLP: Compatible, Macie: Compatible, Zscaler: Compatible, Palo Alto: Degraded, Netskope: Unsupported
Pattern
(?is)\b(?:mobile\s+payment\s+account\s+ids)\b\s{0,80}\b[A-Z0-9][A-Z0-9\-/ ]{4,24}\b
Corroborative evidence keywords
mobile payment account ids, mobile, payment, account, ids, financial, accounts, payments, phone, contact, mob, cell, telephone, tel, ph, landline, home phone, work phone, business phone, direct line (+45 more)
Proximity: 300 characters
Should match
Mobile payment account IDs— Exact phrase marker matchmobile payment account ids— Case-insensitive phrase matchMobile payment account IDs— Normalized whitespace phrasestructured record with identifier and contextual anchors— Structural anchor sample
Should not match
unrelated generic text— No relevant phrase contextplaceholder value 12345— Random text should not match phrase markergeneric narrative without identifier/document anchors— Should not match plain mentiontemplate example placeholder record identifier— Template/sample context should be excluded even when anchor words are present
Known false positives
- Financial terminology appearing in published reports, accounting textbooks, regulatory guidance, or template documents without actual transaction data. Mitigation: Require corroborative evidence keywords within the proximity window. Cross-reference with structured financial identifiers to confirm actual sensitive data.
- In English (as the primary international business language), standard business terminology overlapping with financial detection keywords in routine correspondence and documentation. Mitigation: Increase confidence threshold when scanning business correspondence. Layer with transaction-specific patterns for higher precision.