US 11,855,854 B2
Framework for determining metrics of an automation platform
Shravan K. Konthalapally, Pune (IN); Abhishek Narula, Pune (IN); and Pooja Singh, Pune (IN)
Assigned to Fortinet, Inc., Sunnyvale, CA (US)
Filed by Fortinet, Inc., Sunnyvale, CA (US)
Filed on Jul. 1, 2022, as Appl. No. 17/856,027.
Application 17/856,027 is a continuation of application No. 17/139,689, filed on Dec. 31, 2020, granted, now 11,394,623.
Prior Publication US 2022/0337490 A1, Oct. 20, 2022
Int. Cl. H04L 41/22 (2022.01); H04L 41/00 (2022.01); H04L 41/14 (2022.01); H04L 41/0631 (2022.01)
CPC H04L 41/22 (2013.01) [H04L 41/0631 (2013.01); H04L 41/14 (2013.01); H04L 41/20 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for evaluating an automation framework, the method comprising:
accessing, by a processing resource, an execution log for a playbook, wherein the execution log includes a plurality of result sets wherein each of the plurality of result sets includes a plurality of historical playbook inputs and a corresponding historical outcome, and wherein the playbook is configured to execute a first input dataset;
receiving, by the processing resource, a second input dataset to which the playbook is to be applied;
using, by the processing resource, a training data set to predict a likelihood that the playbook has sufficient control measures to successfully execute the second input dataset, wherein the training dataset includes a plurality of vectors formed of at least some of the result sets;
calculating, by the processing resource, an efficiency score for the playbook;
displaying, by the processing resource, an indication of a health of the automation framework based on the efficiency score; and
notifying, by the processing resource, a user of the likelihood.