Abstract: Methods and systems for securely deploying an artificial intelligence (AI) model. The system can identify one or more deficiencies of the AI model, and protect the AI model from being attacked by external data based upon the identifying. The system can be used for fraud detection based on tabular data, voice authentication, facial recognition, object detection, or a combination thereof.

Abstract: Systems and methods for upgrading container images within orchestration systems. In various embodiments, a request to run a custom container image can be received. Subsequently, a determination can be made as to whether the current version of the requested custom container image is built upon a most recent version of a corresponding base container image. Where it is determined that the current version of the requested custom container image is not built upon the most recent version of the corresponding base container image, an upgraded version of the custom container image can be generated. Advantageously, a non-privileged user requesting a custom container image can, leveraging the private access token and/or administrative privileges of the system, be able to upgrade the requested custom container image. Custom container images can be automatically upgraded, and relied upon to be up-to-date when used, without burdening the user.