Which technique is employed by Zscaler to reduce data size?

Tokenization is a technique used to enhance security by replacing sensitive data elements with non-sensitive equivalents, or tokens, that can be used in a way that preserves the usability of data without requiring exposure of sensitive information. While tokenization can indirectly reduce the amount of sensitive information that needs to be stored or transmitted, it is primarily aimed at improving security rather than directly reducing data size.

In the context of Zscaler, the correct approach for reducing data size is through compression algorithms. Compression algorithms efficiently reduce file sizes by encoding data more compactly, allowing for faster transmission and reduced bandwidth usage. This leads to significant improvements in performance, particularly for large files or data transfers.

Therefore, while tokenization serves an important security purpose, it does not directly focus on data size reduction. Understanding the role of compression algorithms in this context highlights their significance in optimized data management and performance within Zscaler's services.