PyFunnels: Data Normalization for InfoSec Workflows

Information security professionals cannot afford delays in their workflow due to the challenge of integrating data. For example, when data is gathered using multiple tools, the varying output formats must be normalized before automation can occur. This research details a Python library to normalize output from industry standard tools and act as a consolidation point for that functionality. Information security professionals should collaborate using a centralized resource that facilitates easy access to output data. Doing so will bypass extraneous tasks and jump straight to the application of practical data.