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GLOSSARY

THE TECHNICAL LANGUAGE OF DIGITAL B2B INFRASTRUCTURE

CONCEPT
CYBERSECURITY

Data Tokenization

The replacement of sensitive data with non-sensitive tokens whose original values are stored or recoverable only through a controlled token system.


BUSINESS RELEVANCE

It reduces the likelihood or impact of unauthorised access, data loss and service disruption and provides evidence for assurance.


IMPLEMENTATION EXAMPLE

A cross-functional team applies Data Tokenization in a production initiative, defines ownership and success criteria, tests representative scenarios, monitors outcomes and records corrective actions before scaling.


LIMITATIONS

No single control eliminates risk. Misconfiguration, compromised identities, weak recovery and changing threats require defence in depth and continuous review.


TECHNICAL EXPLANATION

The replacement of sensitive data with non-sensitive tokens whose original values are stored or recoverable only through a controlled token system. The control should be based on identified threats, least privilege, strong identity, logging, monitoring and tested response procedures. Effectiveness depends on implementation and operating context rather than the presence of a product label.


Secondary Topics

Data Engineering, Systems Architecture

Sources

NIST Cybersecurity Framework 2.0 — https://www.nist.gov/cyberframework; OWASP — https://owasp.org/