What is Data Tokenization?
Tokenization replaces sensitive data with non-sensitive tokens that can be mapped back to the original data through a secure token vault, protecting data while preserving processability.
Tokenization substitutes sensitive data elements with non-sensitive equivalents called tokens that retain format and length but have no exploitable meaning. Unlike encryption, tokens cannot be mathematically reversed—the mapping between tokens and original values is stored in a secure token vault.
Tokenization is particularly valuable for payment card data (PCI DSS compliance) and personal identifiers where maintaining data format is essential for business processes. ProtectIQ provides tokenization services with format-preserving tokens that work seamlessly with existing applications and databases.
Relevant Regulations
How IQWorks Helps
Related Terms
Data Masking
Data masking replaces sensitive data with realistic but fictitious values, protecting privacy while maintaining data utility for testing, development, and analytics.
Data Encryption
Encryption transforms readable data into an unreadable format using cryptographic algorithms, protecting confidentiality by ensuring only authorized parties with the correct key can access the data.
Data Pseudonymization
Pseudonymization replaces direct identifiers with artificial identifiers, reducing privacy risk while maintaining data utility, but the data remains personal data under GDPR.
Data Anonymization
Anonymization irreversibly transforms personal data so that individuals can no longer be identified, even by the data controller, removing the data from privacy regulation scope.