Basis Theory Tokens: Protect & Use Sensitive Data, Flexibly
Blog post from Basis Theory
Basis Theory’s configurable tokenization platform is designed to let developers adapt tokens to application-specific requirements rather than rely solely on fixed token types. Using Liquid-based Expressions, developers can create aliases that preserve database-compatible formats, customize masking to reveal only necessary portions of sensitive values, and define privacy controls based on data classification, impact level, and access restrictions. Tokens can also include non-sensitive metadata for organization and regulatory tagging, searchable indexes that enable querying without detokenization, and configurable fingerprints for secure uniqueness checks and deduplication. Time-to-live expiration settings support retention policies and temporary data use by automatically purging tokens at a specified date. These capabilities are available through Basis Theory’s public API and are intended to support flexible, secure handling of sensitive data while maintaining controls such as PCI Level 1 and SOC 2 compliance.
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