Inference Enterprise Modeling (IEM) is a methodology developed to address test and
evaluation limitations that insider threat detection enterprises face due to a lack of ground …

We describe the development and envisioned use case applications of a comprehensive
insider threat ontology—“Sociotechnical and Organizational Factors for Insider …

Insider threats within organizations can take a variety of forms including fraud, theft of
classified or proprietary data, and workplace violence. Insiders can be overt individuals who …

In this paper, a process improvement approach, which provides automated assistance in
designing and develo** Inference Enterprise Models (IEM), is described. An IEM forecasts …

An approach is proposed to assist modelers in develo** models of insider threat inference
enterprises. A key challenge in inference enterprise modeling (IEM) is addressing …

Government agencies as well as private companies may need to share private information
with third-party organizations for various reasons. There exists a legitimate concern about …

Data science is an umbrella term that describes a wide and interdisciplinary collection of
technologies and methods used by organizations to utilize and leverage data for valuable …

An overview of an approach developed for reverse engineering an enterprise's underlying
process model in the form of an executable workflow is presented. The approach is based …

Organizations that seek to advance their ability to screen employees and mitigate risk may
use Inference Enterprise Modeling (IEM) to develop models to predict the effects of …