Consumer bank account numbers

Detects references to consumer bank account numbers 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: PCI-DSS, GLBA
Frameworks: ISO 27001, ISO 27701, PCI-DSS, SOC 2
Data categories: financial
Scope: wide
Platform compatibility: Purview: Compatible, GCP DLP: Compatible, Macie: Compatible, Zscaler: Compatible, Palo Alto: Compatible, Netskope: Unsupported

Pattern

\b(?:bank\s+)?account\s+(?:number|no\.?|#)[\s:#-]{0,20}\d{6,17}\b

Corroborative evidence keywords

consumer bank account numbers, consumer, bank, account, numbers, financial, accounts, payments, bank account, account number, account no, BSB, routing number, sort code, IBAN, SWIFT, BIC, file number, reference number, case number (+20 more)

Proximity: 300 characters

Should match

Account number: 12345678 — Labelled account number
Bank account no. 123456789012 — Abbreviated label
account number 987654321 — Label and value

Should not match

12345 — Too short and unlabelled
order reference 88412 — Numeric reference, no account label
template example placeholder — Template/sample text

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.