What tuning process automatically creates local "Client Rules" for benign activities?

Automatic Tuning is the process designed to enhance security configurations by analyzing network activities and automatically generating local "Client Rules" for activities deemed benign. This tuning method utilizes algorithms to differentiate between normal user behavior and potentially harmful actions, reducing the need for manual intervention and allowing for more streamlined management of security protocols.

Through this automated approach, false positives can be minimized, and legitimate traffic is allowed without the constant need for administrator oversight. This ensures a more effective firewall or intrusion detection system that can adapt in real-time to the network's usage patterns.

While Learn Mode and Adaptive Mode do involve analyzing and adjusting settings for applications, they may require some level of manual oversight for rule creation or adjustments based on observed behavior. Manual Tuning clearly indicates active human input, which does not align with the automatic nature of the tuning process described in the question.