What are the best practices for securing personal data?

AI Security

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Post Quantum Cryptography

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Enterprise Key Management

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What are the best practices for securing personal data?

Tokenization is a method of protecting sensitive data by replacing it with non-sensitive equivalents called tokens. These tokens retain the format and length of the original data but have no meaningful value outside of the tokenization system. 

For example, a credit card number might be replaced with a randomly generated string with the same length and format. Still, it cannot be traced back to the original number without access to the tokenization system. The real data is stored securely in a separate, highly controlled environment, and only those with proper authorization can access it, significantly reducing the risk of data breaches.

The process begins by identifying sensitive data that needs to be protected. This data is then processed through a tokenization algorithm, which generates the tokens. These tokens are used in place of the original data in databases, applications, and processes. 

Tokenization is especially effective in industries that handle large volumes of sensitive information, such as finance and healthcare, as it helps ensure compliance with data protection regulations and reduces the potential impact of a data breach.