Risk assessment of a container build

A computer program product comprising:

• a computer readable storage device;
• and
• program code embodied with the computer readable storage device, the program code executable by a processor to:
• employ natural language processing (NLP) to convert a received metadata file associated with provisioning into one or more vector representations;
• identify a subject of the provisioning, and responsive to the identification to selectively leverage a first artificial neural network (ANN) to assign a first score to each of the one or more vector representations, the first score conveying a compliance factor corresponding to operability of the one or more vector representations;
• selectively leverage a second ANN responsive to the first score assignment from the first ANN, the second ANN assigning a second score to the received metadata file, wherein the second score corresponds to provisioning efficiency;
• and
• selectively provision a container or a virtual machine (VM) responsive to the assigned second score.

A computer-implemented method comprising:

• employing natural language processing (NLP), converting a received metadata file associated with provisioning into one or more vector representations;
• identifying a subject of the provisioning, and responsive to the identification selectively leveraging a first artificial neural network (ANN) to assign a first score to each of the one or more vector representations, the first score conveying a compliance factor corresponding to operability of the one or more vector representations;
• selectively leveraging a second ANN responsive to the first score assignment from the first ANN, the second ANN assigning a second score to the received metadata file, wherein the second score corresponds to provisioning efficiency;
• and
• selectively provisioning a container or a virtual machine (VM) responsive to the assigned second score.