Which of the following is a key use case for out-of-band data protection in Zscaler?

The key use case for out-of-band data protection in Zscaler is data discovery and data at rest introspection. This method involves analyzing data stored in various places without directly accessing the network during its operation. Out-of-band data protection is particularly valuable because it allows organizations to inspect and manage sensitive information, ensuring compliance with data protection regulations and policies. By utilizing out-of-band methods, companies can continuously monitor their data landscape without impacting performance or disrupting active network traffic. This is essential for identifying potential security risks, enabling risk reduction strategies, and maintaining a robust data protection framework.

While other options may relate to security practices within an organization, they do not specifically align with the scope of out-of-band data protection. For example, endpoint threat detection focuses primarily on identifying threats present in individual devices, real-time user activity monitoring pertains to ongoing observations of user interactions, and network latency reduction aims to enhance system performance rather than data protection.