What is the compression rate achieved through tokenizing and compressing logs in Zscaler?

In the context of compressing and tokenizing logs in Zscaler, achieving a compression rate of 50-to-1 or greater highlights the effectiveness of Zscaler's technology in efficiently managing data. This high compression rate means that the amount of log data can be significantly reduced without losing critical information, making it more manageable for storage and analysis.

Tokenization plays a vital role in this process by replacing sensitive data elements with non-sensitive equivalents (tokens), which helps in securing the data and further compressing the overall size of logs. The combination of these techniques allows organizations to retain large volumes of logs in a more efficient manner while ensuring compliance and enhancing security.

Choosing a compression rate of 50-to-1 or greater reflects the potential of advanced algorithms employed by Zscaler to minimize data bloat and improve performance in network operations, while options indicating lower compression rates do not adequately capture the capabilities offered by Zscaler’s log management strategies.