Debt collection records

Detects references to debt collection 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

Frameworks

ISO 27001, ISO 27701

Data categories

financial

Scope

wide

Risk rating

7

Platform compatibility

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

Pattern

(?is)\b(?:debt\s+collection|overdue\s+account|past\s+due|collections\s+agency|debt\s+recovery|payment\s+demand|default\s+notice|outstanding\s+balance|repayment\s+plan)\b

Corroborative evidence keywords

debt collection records, debt, collection, records, credit, lending, insurance, financial, fiscal, monetary, accounting, treasury, audit, revenue, expenditure, budget, ledger, accounts payable, accounts receivable, balance sheet (+26 more)

Proximity: 300 characters

Should match

• debt collection — Primary topic phrase match
• overdue account — Case-insensitive topic phrase match
• past due — Alternative topic phrase match
• collections agency — 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
• credit premium — 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.

References

• Regulation (EU) 2016/679 (General Data Protection Regulation)