Tokenization is also called data masking or data obfuscation.
Tokenization is a process that replaces sensitive data, such as credit card numbers or social security numbers, with random strings of characters called tokens. These tokens are unique and have no inherent meaning, making it difficult for unauthorized individuals to understand or use the original data.
Data masking and data obfuscation are synonyms for tokenization because they all involve concealing sensitive data to protect it from unauthorized access. While tokenization primarily focuses on replacing data with tokens, data masking and obfuscation encompass a broader range of techniques, including data encryption and data redaction.
Here are some examples of how tokenization is used:
- Online payments: When you make a purchase online, your credit card number is replaced with a token, which is then transmitted to the merchant.
- Data storage: Sensitive data can be stored in a database using tokens, making it difficult for unauthorized individuals to access the original data.
- Data analysis: Tokenization can be used to protect sensitive data during data analysis, ensuring that the data is not exposed to unauthorized individuals.
Tokenization is a crucial security measure that helps protect sensitive data from unauthorized access and misuse. By replacing sensitive data with tokens, organizations can reduce the risk of data breaches and comply with data privacy regulations.
