Abstract: Methods, apparatus, and processor-readable storage media for identifying vulnerabilities across software code repositories are provided herein. An example computer-implemented method includes maintaining at least one database associated with a plurality of code repositories; in response to detecting a build process associated with a first code repository of the plurality of code repositories, extracting and storing metadata related to the first code repository in the at least one database; identifying at least one vulnerability associated with the first code repository of the plurality of code repositories; determining whether an additional code repository of the plurality of code repositories is impacted by the at least one vulnerability based at least in part on the metadata stored in the at least one database for the additional code repository; and initiating one or more automated actions to at least partially remediate the at least one vulnerability in the additional code repository.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes, by a computing device, determining a source platform code for migration from a source platform to a target platform and determining one or more attributes of the source platform code. The method also includes determining, using a machine learning (ML) model, one or more existing templates based on the one or more attributes of the source platform code, and recommending the one or more existing templates for use in generating a template for migration of the source platform code to the target platform. The template for the source platform code is configured to convert the source platform code to a target platform code suitable for the target platform. The one or more existing template can then be used to generate a template for migrating the source platform code to a target platform code suitable for the target platform.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes, by a computing device, determining a source platform code for migration from a source platform to a target platform and determining one or more attributes of the source platform code. The method also includes determining, using a machine learning (ML) model, one or more existing templates based on the one or more attributes of the source platform code, and recommending the one or more existing templates for use in generating a template for migration of the source platform code to the target platform. The template for the source platform code is configured to convert the source platform code to a target platform code suitable for the target platform. The one or more existing template can then be used to generate a template for migrating the source platform code to a target platform code suitable for the target platform.