Multi-Modal Data Analytics Threat Detection with Behavioural AI Models

Authors

  • Nguyen Van Postdoctoral Fellow, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam Author

Keywords:

insider threat detection, behavioral AI models, multi-modal data analytics

Abstract

Data breaches, money, and reputation all are danger from the insiders. Hostile behaviour changes cannot be identified by traditional rule-based insider thread detection. Behavioural AI model and multimodal data analytics are used by proactive business network to identify insider threat. Machine learning algorithm based behavioural AI examines network traffic, access records, email patterns, and user behaviour to detect live insider risk.

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Published

21-02-2022

How to Cite

[1]
Nguyen Van, “Multi-Modal Data Analytics Threat Detection with Behavioural AI Models”, Los Angeles J Intell Syst Pattern Rec, vol. 2, pp. 1–6, Feb. 2022, Accessed: Mar. 07, 2026. [Online]. Available: https://lajispr.org/index.php/publication/article/view/3