Compensation arrears records

Detects references to compensation arrears 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(?:compensation\s+arrears\s+records|compensation\s+arrears|back\s+pay|salary\s+arrears|retroactive\s+pay|wage\s+adjustment|arrears\s+payment|underpayment\s+correction|pay\s+correction|retrospective\s+adjustment|arrears\s+calculation)\b

Corroborative evidence keywords

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

Proximity: 300 characters

Should match

• compensation arrears records — Primary topic phrase match
• compensation arrears — Case-insensitive topic phrase match
• back pay — Alternative topic phrase match
• salary arrears — 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.