Tech Insights

Tokenization

Last updated , generated by Sumble
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What is Tokenization?

Tokenization is the process of replacing sensitive data with non-sensitive equivalents, referred to as tokens. This process is commonly used in payment processing and data security to protect sensitive information like credit card numbers or personal identifiable information (PII) by replacing them with meaningless tokens. These tokens can then be used in place of the actual data for various operations, reducing the risk of data breaches and compliance burdens.

What other technologies are related to Tokenization?

Tokenization Competitor Technologies

Data masking is an alternative data protection method that replaces sensitive data with modified but realistic data, serving as a direct competitor to tokenization.
mentioned alongside Tokenization in 21% (56) of relevant job posts
Data masking is an alternative data protection method that replaces sensitive data with modified but realistic data, serving as a direct competitor to tokenization.
mentioned alongside Tokenization in 10% (102) of relevant job posts

Tokenization Complementary Technologies

Encryption protects data by converting it into an unreadable format, which complements tokenization, especially for sensitive data that still needs to be processed while protecting the underlying value.
mentioned alongside Tokenization in 3% (558) of relevant job posts
Data discovery tools help identify sensitive data, which is complementary because you need to know what data to tokenize.
mentioned alongside Tokenization in 14% (111) of relevant job posts
Data classification helps categorize data based on sensitivity, which is complementary as it informs decisions about which data should be tokenized.
mentioned alongside Tokenization in 8% (97) of relevant job posts

Which job functions mention Tokenization?

Job function
Jobs mentioning Tokenization
Orgs mentioning Tokenization
Data, Analytics & Machine Learning

Which organizations are mentioning Tokenization?

Organization
Industry
Matching Teams
Matching People

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