This section explains Adaptive Application Learning

Starting with NSX Advanced Load Balancer release 20.1.1, Adaptive Application Learning is supported. In Adaptive Application Learning, the Controller takes control of adjusting these WAF Learning parameters for the effective Application Learning while the SE just enforces it.

In the Adaptive Application Learning, the manual modification of sampling percentage and learning interval is not required.

To improve user experience and optimize resource usage while maximizing the application learning progress, a feedback system is created that tunes these parameters once learning is enabled on an application. Using Positive Security Model (PSM) with Application learning enables the end-user to automate the configuration changes.

For effective Adaptive Application Learning, the followings parameters are continuously adjusted by the Controller:

  • Sampling Percentage

  • Learning Interval

For more information and recommendation on these parameters, refer to the below sections.