All Full Names
Detects All Full Names patterns. This pattern is based on a Microsoft Purview built-in sensitive information type that uses machine learning and function-based detection for personal name identification. This keyword list provides name-related terms for supplementary matching.
- Type
- keyword_list
- Confidence
- low
- Confidence justification
- Low confidence: broad keyword matching on name-related terms requires additional context. Name keywords appear frequently in forms, directories, and general documents without constituting sensitive personal information.
- Jurisdictions
- global
- Regulations
- CCPA/CPRA, GDPR
- Frameworks
- ISO 27001, ISO 27701, PCI-DSS, SOC 2
- Data categories
- pii
- Scope
- wide
- Risk rating
- 3
Should match
please enter your full name below— Contains name keyword 'full name'applicant surname and given name— Contains name keywords 'surname' and 'given name'patient first name and last name on file— Contains name keywords 'first name' and 'last name'
Should not match
quarterly financial report for fiscal year 2024— Financial text with no name-related keywordsthe server configuration has been updated successfully— Technical text with no personal name terminology
Known false positives
- Form labels, headers, or templates that reference name fields without containing actual names Mitigation: Layer with named entity recognition to confirm keyword matches co-occur with actual personal name values rather than field labels.
- Software documentation referencing name-related variables or database columns Mitigation: Use document classification to distinguish personnel records from technical documentation.