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How F5 ASM learning score work?

AlearthieS
Cirrus
Cirrus

Hi Everyone,

I would like to know how F5 ASM learning score work, I mean how it calculate leaning score.

4 REPLIES 4

Erik_Novak
F5 Employee
F5 Employee

Each learning suggestion is assigned a percentage value which reflects the confidence the learning engine has for accepting the suggestion. This percentage value is called the Learning Score. For example, a score of 100 means that accepting the learning suggestion will not break the application or degrade the user experience due to a policy modification. For each request, ASM tracks various data points, including but not limited to the originating IP address, the time the HTTP session was opened, how many requests have been made, any violation ratings that have been assigned, and numerous proprietary rules of varying tolerance. The staging status of any entities or violation items is also considered for calculating the learning score. High-rated illegal requests will lower the score and slow down the acceptance of the respective suggestions induced by those requests, while speeding up and raising the score for suggestions induced by low-rated requests. 

thank you so much for information

Ivan_Chernenkii
F5 Employee
F5 Employee

You can look at https://devcentral.f5.com/s/question/0D51T00007gbt0FSAQ/asm-not-automatic-learning-url-file-type-and.... May be this will help you in understanding.

 

Thanks, Ivan

thank you so much for information