Tokenization

In multi-vendor architectures, data masking and tokenization can only reduce the exposure surface of a single request and cannot change the fact that data actually flows to multiple vendors; they must be used in conjunction with contractual terms and the principle of data minimization.

Tokenization replaces sensitive values with meaningless tokens and retains the mapping in a controlled environment for restoration, preserving reversibility but introducing new risks around token custody and access control.

The design of the agent gateway draws on the "tokenization" mechanism of the payments industry: the platform does not directly expose users' payment information but instead issues a virtual authorization card with a spending limit that can be revoked.

The 'consistent pseudonym replacement' mentioned in the article belongs to the tokenization approach, that is, the same real identity always maps to the same pseudonym, so that the model can still track relationships between entities.

Redaction, masking, and tokenization are three common data protection techniques, whose core difference is: deletion (redaction) is irreversible, masking is partially reversible, and tokenization is fully reversible in authorized scenarios.

Tokenization is currently the data protection method that preserves the most semantics, restoring sensitive values in a controlled environment through a mapping table.

Zero-knowledge proof technology allows a verifier to confirm the authenticity of information without obtaining the specific data, and tokenization can replace raw sensitive data with irreversible tokens.