US 12,301,422 B2
System and method for AI policy-based auto assurance
Vijay Kumar, Indore (IN); Hari Sridasyam, Indore (IN); Sayan Sarkar, Indore (IN); and Sandeep Karkala, Indore (IN)
Assigned to RAKUTEN SYMPHONY, INC., Tokyo (JP)
Appl. No. 18/247,078
Filed by Rakuten Symphony, Inc., Tokyo (JP)
PCT Filed Dec. 13, 2022, PCT No. PCT/US2022/052699
§ 371(c)(1), (2) Date Mar. 29, 2023,
PCT Pub. No. WO2024/129064, PCT Pub. Date Jun. 20, 2024.
Prior Publication US 2025/0080423 A1, Mar. 6, 2025
Int. Cl. G06F 15/173 (2006.01); H04L 41/0894 (2022.01); H04L 41/0895 (2022.01); H04L 41/16 (2022.01)
CPC H04L 41/0894 (2022.05) [H04L 41/0895 (2022.05); H04L 41/16 (2013.01)] 20 Claims
OG exemplary drawing
 
9. A method executed by processing circuitry, comprising:
receiving, by a policy manager, one or more events from a databus;
triggering, based on the one or more events, an existing assurance policy;
triggering, based on the existing assurance policy, a prediction request to an artificial intelligence (AI)/(ML) machine learning application;
receiving, by the policy manager, a change recommendation from the AI/ML application;
creating, by the policy manager, a new assurance policy based on the change recommendation from the AI/ML application; and
triggering, by the policy manager, a corrective action to be taken based on a triggering of the new assurance policy implementing the change recommendation.