Which technology does Zscaler utilize in some of its dictionaries to identify complex patterns?

Zscaler utilizes AI and machine learning in some of its dictionaries to identify complex patterns effectively. This technology allows Zscaler to analyze vast amounts of data and detect behaviors or anomalies that traditional methods may overlook. By leveraging AI and machine learning, Zscaler can learn from patterns in data and adapt its detection capabilities over time, improving the accuracy and efficiency of threat identification.

Natural language processing, while powerful for understanding and processing human language, does not specifically focus on pattern recognition in the broader context of security and data analysis like AI and machine learning do. Blockchain technology is primarily associated with secure and decentralized transaction handling rather than complex pattern recognition. Traditional database queries are limited in their ability to analyze complex data interactions dynamically and adaptively. Thus, the best choice for identifying complex patterns in Zscaler’s technology is AI and machine learning.