Retirement contribution records

Detects references to retirement contribution 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

Topic false positive

Jurisdictions

global

Regulations

GDPR

Data categories

financial

Scope

wide

Risk rating

4

Platform compatibility

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

Pattern

(?is)\b(?:retirement\s+contribution\s+records|retirement\s+contribution|pension\s+contribution|employer\s+match|salary\s+sacrifice|defined\s+contribution|defined\s+benefit|retirement\s+fund|vesting\s+schedule)\b

Corroborative evidence keywords

retirement contribution records, retirement, contribution, records, payroll, tax, operations, bank account, account number, account no, [object Object], routing number, sort code, IBAN, SWIFT, [object Object], employee, benefits, termination, hire date (+89 more)

Proximity: 300 characters

Should match

• retirement contribution records — Primary topic phrase match
• retirement contribution — Case-insensitive topic phrase match
• pension contribution — Alternative topic phrase match
• employer match — 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.