What is one method Zscaler uses to reduce the amount of data passed in log transactions?

Zscaler effectively reduces the amount of data passed in log transactions through the use of compression and tokenization. Compression is a technique that reduces the size of log data by encoding it in a way that takes up less space, which leads to quicker transmission and decreased bandwidth usage. Tokenization, on the other hand, replaces sensitive data elements with non-sensitive equivalents, thereby allowing for the reduction of data size without compromising the information's utility or security for analysis.

This method not only streamlines the logging process but also enhances the overall performance of the system by minimizing the load on the network. By managing data in this way, Zscaler ensures that the logs are efficiently transmitted without unnecessary bloat, preserving essential information while optimizing data handling.