Machine learning-based techniques for identifying deployment environments and enhancing security thereof

Abstract

Methods, systems, apparatuses, and computer-readable storage mediums are described for machine learning-based techniques for identifying a deployment environment in which computing resources (e.g., servers, virtual machines, databases, etc.) reside and for enhancing security for the identified deployment environment. For instance, usage data is collected from the computing resources. The usage data is featurized and provided to a machine learning-based classification model that determines a deployment environment in which the computing resources reside based on the featurized usage data. Once the deployment environment is identified, a security policy that is applicable for the identified deployment environment is determined. The security policy specifies a plurality of recommended security settings that should be applied to the computing resources included in the identified deployment environment. The recommended security settings may be provided to the user (e.g., via a graphical user interface) for application thereby and/or may be automatically activated.