Abstract: The present disclosure provides systems and methods that support identification of vulnerabilities within a dataset, such as an unknown binary, using customizable pipelines and workflows. The pipelines may be configured to apply various analysis techniques, including reverse engineering, machine learning/artificial intelligence, and other techniques to elicit various types of data and information from the unknown binary. The pipeline may include stages configured to analyze outputs of prior stages of the pipeline detect whether vulnerabilities or malicious code are present. Different stages of the pipeline may also be configured to initiate additional workflows for further analysis of the binary or intermediate representations of the binary output by prior stages of the pipeline. Additionally, the disclosed systems and methods provide functionality that enables generation of a reverse software bill of materials (SBOM) from an unknown binary or confirmation of contents of an existing SBOM.