弥补信息安全方面的差距:以人力资源为中心、人工智能驱动的减轻内部威胁框架

IF 3.3 3区 管理学 Q1 INDUSTRIAL RELATIONS & LABOR Personnel Review Pub Date : 2024-03-01 DOI:10.1108/pr-04-2023-0358
Mohan Thite, Ramanathan Iyer
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引用次数: 0

摘要

目的尽管不断有关于内部人员泄露机密数据的报道,但学术界学者和从业人员都倾向于关注外部威胁,并倾向于采用以信息技术(IT)为中心的解决方案来保护和加强其信息安全生态系统。遗憾的是,他们很少关注人力资源管理(HRM)解决方案。本文旨在弥补这一不足,并提出了一个以人力资源(HR)为中心、人工智能(AI)驱动的可操作框架。本文强调了内部威胁带来的危险,并介绍了基于 Leximancer 的快速文献综述分析的主要发现,该分析涉及人力资源管理对信息安全的作用、性质和贡献,尤其是在应对内部威胁方面。研究还讨论了这些解决方案的局限性,并提出了一种由人工智能和机器学习驱动的 "环中人力资源 "模型,以缓解这些局限性。研究结果本文认为,如果战略性地、智能地使用人工智能,人工智能有望提供许多以人力资源管理为中心的机会,以强化信息安全架构。人力资源在环模型可以确保在设计信息安全解决方案时考虑到人的因素。通过将人工智能和机器学习与人类专业知识相结合,该模型可以提供一种有效而全面的方法来应对内部威胁。它进一步明确了人力资源管理解决方案在信息安全方面的局限性,以及如何利用人工智能和机器学习在一定程度上解决这些局限性。
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Addressing the gap in information security: an HR-centric and AI-driven framework for mitigating insider threats

Purpose

Despite ongoing reports of insider-driven leakage of confidential data, both academic scholars and practitioners tend to focus on external threats and favour information technology (IT)-centric solutions to secure and strengthen their information security ecosystem. Unfortunately, they pay little attention to human resource management (HRM) solutions. This paper aims to address this gap and proposes an actionable human resource (HR)-centric and artificial intelligence (AI)-driven framework.

Design/methodology/approach

The paper highlights the dangers posed by insider threats and presents key findings from a Leximancer-based analysis of a rapid literature review on the role, nature and contribution of HRM for information security, especially in addressing insider threats. The study also discusses the limitations of these solutions and proposes an HR-in-the-loop model, driven by AI and machine learning to mitigate these limitations.

Findings

The paper argues that AI promises to offer many HRM-centric opportunities to fortify the information security architecture if used strategically and intelligently. The HR-in-the-loop model can ensure that the human factors are considered when designing information security solutions. By combining AI and machine learning with human expertise, this model can provide an effective and comprehensive approach to addressing insider threats.

Originality/value

The paper fills the research gap on the critical role of HR in securing and strengthening information security. It makes further contribution in identifying the limitations of HRM solutions in info security and how AI and machine learning can be leveraged to address these limitations to some extent.

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来源期刊
Personnel Review
Personnel Review Multiple-
CiteScore
7.10
自引率
7.70%
发文量
133
期刊介绍: Personnel Review (PR) publishes rigorous, well written articles from a range of theoretical and methodological traditions. We value articles that have high originality and that engage with contemporary challenges to human resource management theory, policy and practice development. Research that highlights innovation and emerging issues in the field, and the medium- to long-term impact of HRM policy and practice, is especially welcome.
期刊最新文献
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