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

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(?:insurance\s+policy|policy\s+number|sum\s+insured|policy\s+schedule|renewal\s+date)\b

Corroborative evidence keywords

insurance policy records, insurance, policy, records, credit, lending, premium, coverage, insured, beneficiary, claim, deductible, copay, coinsurance, underwriting, field, column, row, entry, record (+24 more)

Proximity: 300 characters

Should match

• insurance policy — Primary topic phrase match
• policy number — Case-insensitive topic phrase match
• sum insured — Alternative topic phrase match
• policy schedule — 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.