Payroll deduction records

Detects references to payroll deduction records 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

Data categories

financial

Scope

wide

Platform compatibility

Purview: Compatible, GCP DLP: Compatible, Macie: Compatible, Zscaler: Compatible, Palo Alto: Degraded, Netskope: Unsupported

Pattern

(?is)\b(?:payroll\s+deduction\s+records|payroll\s+deduction|salary\s+sacrifice|pre[\s-]+tax\s+deduction|post[\s-]+tax\s+deduction|voluntary\s+deduction|insurance\s+premium|union\s+dues|superannuation\s+contribution|benefit\s+deduction|net\s+pay)\b

Corroborative evidence keywords

payroll deduction records, payroll, deduction, records, tax, operations, employee, benefits, termination, hire date, salary, compensation, 401k, W-2, I-9, superannuation, police check, working with children check, WWCC, Blue Card (+85 more)

Proximity: 300 characters

Should match

• payroll deduction records — Primary topic phrase match
• payroll deduction — Case-insensitive topic phrase match
• salary sacrifice — Alternative topic phrase match
• pre-tax deduction — 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
• payroll reimbursement — 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.