The impact of artificial intelligence on organisational cyber security: An outcome of a systematic literature review

Irshaad Jada, Thembekile O. Mayayise
{"title":"The impact of artificial intelligence on organisational cyber security: An outcome of a systematic literature review","authors":"Irshaad Jada,&nbsp;Thembekile O. Mayayise","doi":"10.1016/j.dim.2023.100063","DOIUrl":null,"url":null,"abstract":"<div><p>As digital transformation continues to advance, organisations are becoming increasingly aware of the benefits that modern technologies offer. However, with greater technology adoption comes a higher risk of cyber security threats and attacks. Therefore, there is a need for more advanced measures to protect against constantly evolving threats. One potential solution is the use of Artificial Intelligence (AI). The aim of this research paper was to conduct a systematic literature review (SLR) to assess the impact of AI-based technologies on organisational cyber security and determine their effectiveness compared to traditional cyber security approaches. The PRISMA flow diagram was used to guide the review process. Peer-reviewed articles from 2018 to 2023 were included from EBSCO Host, Google Scholar, Science Direct, ProQuest &amp; SCOPUS and 73 remaining articles were synthesised.</p><p>The results revealed that AI can impact cybersecurity throughout it's entire life cycle, yielding benefits like automation, threat intelligence, and improved cyber defense. Nevertheless, it also brings challenges like adversarial attacks and the need for high-quality data, which could lead to the inefficiency of AI. These results affirm the positive influence of AI on cybersecurity, enhancing effectiveness and resilience. These findings provide a solid foundation for further research in the field of organisational cybersecurity. These results can help organisations make informed decisions on AI implementations by offering an impartial view of its impacts.</p></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"8 2","pages":"Article 100063"},"PeriodicalIF":0.0000,"publicationDate":"2023-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2543925123000372/pdfft?md5=80d99e19ddfeeda09861bf3bc7ea0505&pid=1-s2.0-S2543925123000372-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data and information management","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2543925123000372","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

As digital transformation continues to advance, organisations are becoming increasingly aware of the benefits that modern technologies offer. However, with greater technology adoption comes a higher risk of cyber security threats and attacks. Therefore, there is a need for more advanced measures to protect against constantly evolving threats. One potential solution is the use of Artificial Intelligence (AI). The aim of this research paper was to conduct a systematic literature review (SLR) to assess the impact of AI-based technologies on organisational cyber security and determine their effectiveness compared to traditional cyber security approaches. The PRISMA flow diagram was used to guide the review process. Peer-reviewed articles from 2018 to 2023 were included from EBSCO Host, Google Scholar, Science Direct, ProQuest & SCOPUS and 73 remaining articles were synthesised.

The results revealed that AI can impact cybersecurity throughout it's entire life cycle, yielding benefits like automation, threat intelligence, and improved cyber defense. Nevertheless, it also brings challenges like adversarial attacks and the need for high-quality data, which could lead to the inefficiency of AI. These results affirm the positive influence of AI on cybersecurity, enhancing effectiveness and resilience. These findings provide a solid foundation for further research in the field of organisational cybersecurity. These results can help organisations make informed decisions on AI implementations by offering an impartial view of its impacts.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
人工智能对组织网络安全的影响:系统文献综述成果
随着数字化转型的不断推进,企业越来越意识到现代技术带来的好处。然而,随着技术应用的增加,网络安全威胁和攻击的风险也随之增加。因此,有必要采取更先进的措施来防范不断演变的威胁。一个潜在的解决方案就是使用人工智能(AI)。本研究论文旨在进行系统性文献综述(SLR),以评估基于人工智能的技术对组织网络安全的影响,并确定其与传统网络安全方法相比的有效性。PRISMA流程图用于指导综述过程。从EBSCO Host、Google Scholar、Science Direct、ProQuest & SCOPUS中收录了2018年至2023年的同行评议文章,并对剩余的73篇文章进行了综合。然而,它也带来了挑战,如对抗性攻击和对高质量数据的需求,这可能导致人工智能效率低下。这些结果肯定了人工智能对网络安全的积极影响,提高了有效性和复原力。这些发现为组织网络安全领域的进一步研究奠定了坚实的基础。这些结果通过对人工智能的影响提供一个公正的视角,可以帮助组织就人工智能的实施做出明智的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Data and information management
Data and information management Management Information Systems, Library and Information Sciences
CiteScore
3.70
自引率
0.00%
发文量
0
审稿时长
55 days
期刊最新文献
Erratum regarding missing Declaration of Competing Interest statements in previously published articles (Volume 6, Issues 1–4) Improved detection of transient events in wide area sky survey using convolutional neural networks An evaluation method of academic output that considers productivity differences Adaptive K-means clustering based under-sampling methods to solve the class imbalance problem Does internet use affect public risk perception? — From the perspective of political participation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1