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Software Design & Development Glossary

These days there’s an acronym for everything. Explore our software design & development glossary to find a definition for those pesky industry terms.

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Glossary
Tokenization

Tokenization

Tokenization is a process of converting sensitive data into a unique identifier called a token.

This token can be used in place of the original data when transmitting or storing information, reducing the risk of exposing sensitive information to unauthorized parties.

In the context of software development, tokenization is commonly used to enhance security in payment processing systems, authentication mechanisms, and data storage.

How Tokenization Works

When a user enters their credit card information on a website, for example, the data is sent to a tokenization service.

The service then generates a token that represents the credit card number and returns it to the website.

The website stores the token instead of the actual credit card number, ensuring that the sensitive information is not stored on the server.

Benefits of Tokenization

One of the main benefits of tokenization is enhanced security.

Since tokens are randomly generated and have no mathematical relationship to the original data, they are virtually impossible to reverse-engineer.

This makes it much harder for hackers to steal sensitive information. Tokenization also simplifies compliance with data protection regulations such as the Payment Card Industry Data Security Standard (PCI DSS).

By replacing sensitive data with tokens, organizations can reduce their scope of compliance and minimize the risk of data breaches.

Use Cases of Tokenization

Tokenization is widely used in the financial industry for securing payment transactions.

It is also used in authentication systems to store and transmit passwords securely.

Additionally, tokenization is used in healthcare for protecting patient information and in e-commerce for securing customer data. In conclusion, tokenization is a powerful tool for enhancing security and protecting sensitive data in software development.

By replacing sensitive information with tokens, organizations can reduce the risk of data breaches and ensure compliance with data protection regulations.

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