Enhancing Insider Threat Detection: A Literature Review on AI-Driven Solutions Leveraging Wearable Technology

This literature review explores the landscape of AI-driven insider threat detection leveraging wearable technology. Insider threats pose significant risks to organizations, often stemming from trusted individuals with access to sensitive information. Traditional security measures focus primarily on external threats, overlooking the potential dangers posed by insiders. By integrating wearable technology with advanced AI algorithms, organizations can enhance their ability to detect and mitigate insider threats in real-time. This paper examines existing research, methodologies, and technologies employed in the domain of insider threat detection, with a specific emphasis on the role of wearable devices and AI-driven approaches. Insights gained from this review contribute to a deeper understanding of effective strategies for safeguarding against insider threats.

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Publication Details

Journal
New York University UltraViolet Data and Software Repository
Published
2024-10-09
DOI
https://doi.org/10.58153/bfrmr-xz336
Primary Topic
Information and Cyber Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Insider Threat Detection: A Literature Review on AI-Driven Solutions Leveraging Wearable Technology

New York University UltraViolet Data and Software Repository
Information and Cyber Security
article

Enhancing Insider Threat Detection: A Literature Review on AI-Driven Solutions Leveraging Wearable Technology

article en

Abstract

This literature review explores the landscape of AI-driven insider threat detection leveraging wearable technology. Insider threats pose significant risks to organizations, often stemming from trusted individuals with access to sensitive information. Traditional security measures focus primarily on external threats, overlooking the potential dangers posed by insiders. By integrating wearable technology with advanced AI algorithms, organizations can enhance their ability to detect and mitigate insider threats in real-time. This paper examines existing research, methodologies, and technologies employed in the domain of insider threat detection, with a specific emphasis on the role of wearable devices and AI-driven approaches. Insights gained from this review contribute to a deeper understanding of effective strategies for safeguarding against insider threats.

New York University UltraViolet Data and Software Repository
New York University (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 45%
Information and Cyber Security
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