Analysis of benefits of the integration of Artificial Intelligence in the organizational strategy for the detection of insider threats.

Authors

  • Maximiliano Mansilla Facultad Regional Rosario, Universidad Tecnológica Nacional - Argentina
  • Ornella Colazo Facultad Regional Rosario, Universidad Tecnológica Nacional - Argentina
  • Bautista Guerra Facultad Regional Rosario, Universidad Tecnológica Nacional - Argentina
  • Guillermo Patricio Dolan Facultad Regional Rosario, Universidad Tecnológica Nacional - Argentina
  • Lucía Morena Fabbri Facultad Regional Rosario, Universidad Tecnológica Nacional - Argentina

Keywords:

Artificial Intelligence, Insider Threats, Data Leakage Prevention

Abstract

In this work, we will analyze some of the techniques based on Artificial Intelligence for their use in the detection and analysis of people's behavior when interacting with the organization's systems and the flow of internal activities. The objective is to incorporate them as a strategy for mitigating risks stemming from insider threats. Because of employees often have direct access to sensitive data or easily have it within their reach for daily use, they suppose a challenge to information security. Therefore, it is crucial to consider strategies that address data leakage prevention and evaluate the feasibility and suitability of implementing these techniques as part of the organization's security strategy. In this regard, we will analyze the feasibility of investing in these technologies as a preventive measure to mitigate data leaks.

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Published

2024-10-18

How to Cite

Mansilla, M., Colazo, O., Guerra, B., Dolan, G. P., & Fabbri, L. M. (2024). Analysis of benefits of the integration of Artificial Intelligence in the organizational strategy for the detection of insider threats. AJEA (Proceedings of UTN Academic Conferences and Events), (AJEA 38). Retrieved from https://rtyc.utn.edu.ar/index.php/ajea/article/view/1639

Conference Proceedings Volume

Section

Proceedings - Information and Computer Systems