Cardholder names linked to accounts

Detects references to cardholder names linked to accounts 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

category-aware structural regex with anchor and context constraints replaces phrase-only detection. Added context gating and exclusion rules improve precision and reduce incidental matches.

Detection quality

Not detected

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(?:cardholder\s+name|card\s+holder|name\s+on\s+card|account\s+holder|primary\s+cardholder|authorized\s+user|card\s+member|account\s+name|payment\s+card|credit\s+card|debit\s+card|card\s+number)\b

Corroborative evidence keywords

cardholder names linked to accounts, cardholder, names, linked, accounts, financial, payments, fiscal, monetary, accounting, treasury, audit, revenue, expenditure, budget, ledger, accounts payable, accounts receivable, balance sheet, profit and loss (+30 more)

Proximity: 300 characters

Should match

• cardholder name — Primary topic phrase match
• card holder — Case-insensitive topic phrase match
• name on card — Alternative topic phrase match
• account holder — Additional topic phrase match

Should not match

• unrelated generic text without domain phrases — No relevant topic phrases present
• placeholder value 12345 — Random text should not match topic-specific regex
• bank transfer — Generic word pair from old broad template should not match

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.