To protect data over its full lifecycle, tokenization is often combined with end-to-end encryption to secure data in transit to the tokenization system or service, with a token replacing the original data on return.
Tokenization is the process of creating a digital representation of a real thing. Tokenization can also be used to protect sensitive data or to efficiently process large amounts of data.
But it generally refers to the process of turning financial assets - such as bank deposits, stocks, bonds, funds and even real estate - into crypto assets. This means creating a record on digital...
In data security, tokenization is the process of converting sensitive data into a nonsensitive digital replacement, called a token, that maps back to the original. Tokenization can help protect sensitive information. For example, sensitive data can be mapped to a token and placed in a digital vault for secure storage.
Tokenization converts real‑world assets like cash or treasuries into blockchain tokens, enabling global, 24‑7 access and automated financial services. Tokenization may sound technical, but it...
Data tokenization as a broad term is the process of replacing raw data with a digital representation. In data security, tokenization replaces sensitive data with randomized, nonsensitive substitutes, called tokens, that have no traceable relationship back to the original data.
Tokenization is a data security technique that replaces sensitive information—such as personally identifiable information (PII), payment card numbers, or health records—with a non-sensitive placeholder called a token.
Tokenization is defined as the process of hiding the contents of a dataset by replacing sensitive or private elements with a series of non-sensitive, randomly generated elements (called a token) such that the link between the token values and real values cannot be reverse-engineered.
Protect sensitive data with tokenization. Learn how data tokenization works, its benefits, real-world examples, and how to implement it for security and compliance.
Tokenization involves protecting sensitive, private information with something scrambled, which users call a token. Tokens can't be unscrambled and returned to their original state.
