Introduction
Prebuilt Custom Data Types developed by the archTIS team to help organizations identify regional identity and selected account-related data across Australia, New Zealand, Malaysia, Singapore, and selected U.K. identity formats.
Type: Custom Data Type
Spirion Products: Sensitive Data Manager; Sensitive Data Platform
Other Products: None required
The Challenge
Many organizations operate across regions where sensitive identity and account-related information follows country-specific formats that may not always be fully addressed by standard detection content. This can make it harder to identify personal and operationally sensitive data consistently across repositories, workflows, and jurisdictions.
For teams responsible for privacy, compliance, governance, or data discovery, building regional Custom Data Types from scratch can take time and require substantial testing and refinement.
The Solution
The APAC and Commonwealth Identity Data Type Package is a prebuilt Custom Data Type library designed to strengthen discovery of selected regional identity and account-related information within Spirion.
Developed by the archTIS team, the package uses targeted pattern matching aligned to selected formats used across Australia, New Zealand, Malaysia, Singapore, and the U.K. It is intended to give customers a stronger starting point for identifying likely regional identifiers while still allowing room for customer-specific tuning and refinement.
Overview
The APAC and Commonwealth Identity Data Type Package is a prebuilt Custom Data Type library developed by the archTIS team to help organizations improve identification of region-specific sensitive data within their environment.
The package is designed to support discovery of regional identity and selected account-related data through targeted pattern matching aligned to formats used across Australia, New Zealand, Malaysia, Singapore, and selected U.K. identity records. Coverage includes identifiers such as bank account structures, driver’s license numbers, passport numbers, health-related identifiers, and national identity formats relevant to the included jurisdictions.
Built from practical testing and iterative refinement, the package provides a structured starting point for customers that need stronger visibility into selected regional data types that may not be fully addressed through standard detection content alone. It is particularly relevant for organizations operating across multiple jurisdictions or managing sensitive customer, employee, or operational data in APAC and Commonwealth environments.
What the Package Includes
- Prebuilt Custom Data Types for selected regional identity and account-related identifiers
- Coverage across Australia, New Zealand, Malaysia, Singapore, and selected U.K. identity formats
- Detection logic for bank account, passport, driver’s license, health, and national identity-related values
- Guidance for testing, tuning, and customer-specific refinement
Ideal Use Cases
- Organizations operating across Australia, New Zealand, and broader APAC environments
- Businesses handling regional employee or customer records
- Teams needing stronger visibility into non-U.S. identity and selected account-related data types
- Customers looking to extend detection coverage beyond standard content
Example Coverage Areas
- Australian BSB and bank account structures
- Australia driver’s license and passport formats
- Australia Medicare account number formats
- Malaysia identity card and passport formats
- New Zealand bank account, driver license, Inland Revenue, and health-related formats
- Singapore driving license, NRIC, and passport formats
- Selected U.K. driver’s license formats
Key Benefits
- Expands visibility into selected regional data types beyond standard content
- Provides a structured starting point for multinational and APAC-focused environments
- Reduces manual effort and shortens time to first usable coverage
- Supports customer-specific tuning based on data profile and operational requirements
Important note. The package is intended to provide a structured starting point for identifying likely regional identity and selected account-related data. Final tuning, validation, and handling decisions should always reflect the customer’s environment, requirements, and data governance processes.
