Insurance policy records
Detects references to insurance policy 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
- 4
- Platform compatibility
- Purview: Compatible, GCP DLP: Compatible, Macie: Compatible, Zscaler: Compatible, Palo Alto: Degraded, Netskope: Unsupported
Pattern
(?is)\b(?:insurance\s+policy|policy\s+number|sum\s+insured|policy\s+schedule|renewal\s+date)\bCorroborative evidence keywords
insurance policy records, insurance, policy, records, credit, lending, premium, coverage, insured, beneficiary, claim, deductible, copay, coinsurance, underwriting, data record, database record, record set, data extract, data export (+19 more)
Proximity: 300 characters
Should match
insurance policy— Primary topic phrase matchpolicy number— Case-insensitive topic phrase matchsum insured— Alternative topic phrase matchpolicy schedule— Additional topic phrase match
Should not match
unrelated generic text without domain phrases— No relevant topic phrases presentplaceholder value 12345— Random text should not match topic-specific regexcredit 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.