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The threat of malicious insider activity continues to be of paramount concern in both the public and private sectors. Though there is great interest in advancing the state of the art in predicting and stopping these threats, the difficulty of obtaining suitable data for research, development, and testing remains a significant hinderance. We outline the use of synthetic data to enable progress in one research program, while discussing the benefits and limitations of synthetic insider threatdoi:10.1109/spw.2013.37 dblp:conf/sp/GlasserL13 fatcat:6z3byvobtjf2bjpqe2qtes2fla