Pension account identifiers

Detects references to pension account identifiers 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

(?i)\b(?:pension\s+account\s+identifiers?)\b

Corroborative evidence keywords

pension account identifiers, pension, account, identifiers, 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

Pension account identifiers — Topic phrase present
pension account identifiers — Topic phrase, lowercase
this record references the pension account identifiers held on file — Topic phrase within surrounding text

Should not match

unrelated generic text — No relevant phrase context
placeholder value 12345 — Random text should not match phrase marker
generic narrative without identifier/document anchors — Should not match plain mention
template example placeholder record identifier — Template/sample context should be excluded even when anchor words are present

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.