Abstract
The design of solutions to problems in the information technology (IT) domain provides unique challenges. Many times the problem may not be solvable or presents phenomenological aspects. A well known IT problem is the insider threat. This unique threat is its position within the trusted boundary of an organization. They are behind the defenses put in place to keep the external attackers out. The insiders are those individuals that know the security processes and can easily circumvent these practices. Using Design Science research (DSR) allows for the exploration and iteration of possible solutions through design and scientific methods in parallel. This paper provides the findings of the intelligent agent research that was presented at the DESRIST 2015, where DSR created the Artificial Intelligent Memory Inference Engine (AIMIE). This research found that using already-in-place computing infrastructure for AIMIE’s architecture and Emergent Intelligence creates an economic tool for insider threat detection.
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Tagle, B., Felch, H. (2016). Conclusion to an Intelligent Agent as an Economic Insider Threat Solution: AIMIE. In: Parsons, J., Tuunanen, T., Venable, J., Donnellan, B., Helfert, M., Kenneally, J. (eds) Tackling Society's Grand Challenges with Design Science. DESRIST 2016. Lecture Notes in Computer Science(), vol 9661. Springer, Cham. https://doi.org/10.1007/978-3-319-39294-3_10
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DOI: https://doi.org/10.1007/978-3-319-39294-3_10
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