Systems and methods for detecting and remediating inconsistent tags in cloud-native networks

Abstract

Systems and methods for detecting and remediating inconsistent tags in cloud-native networks include collecting tags from all resources in a cloud environment; converting each of the tags to a desired format and extracting unique tags in the desired format; calculating a similarity score between all of the unique tags in the desired format and creating tag pairs based on the similarity scores; and selecting a suggested tag for each of the tag pairs based on a number of appearances of each of the tags in the tag pairs. In various embodiments the steps can further include identifying a new resource in the cloud environment; and utilizing one or more machine learning models to determine if the new resource has inaccurate tags, and providing tag suggestions based thereon.