Show simple item record

AuthorAL-Dosari, Khalifa
AuthorFetais, Noora
AuthorKucukvar, Murat
Available date2023-06-25T05:13:31Z
Publication Date2022-08-23
Publication NameCybernetics and Systems
Identifierhttp://dx.doi.org/10.1080/01969722.2022.2112539
CitationAL-Dosari, K., Fetais, N., & Kucukvar, M. (2022). Artificial Intelligence and Cyber Defense System for Banking Industry: A Qualitative Study of AI Applications and Challenges. Cybernetics and Systems, 1-29.
ISSN0196-9722
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85136601460&origin=inward
URIhttp://hdl.handle.net/10576/44692
AbstractCyberattacks are becoming more and more intense in the banking industry (Ryzhkova et al. 2020). Banking industry is trying to adopt artificial intelligence to create cyber defence system so that the unauthorized access and cyber attacks would be minimized. Banks in Qatar acknowledge the threat of cybercrimes and the role of cybersecurity in sustainable growth. Meanwhile, the banking industry is experiencing a major technological disruption. It becomes important to understand the implications of such technologies as artificial intelligence (AI) on the cybersecurity of banks. The present paper aims to explore the impacts of AI on the cybersecurity of banks in Qatar. A thematic analysis of interviews of 9 experts in the banking industry of Qatar was conducted. A qualitative thematic analysis was conducted using NVIVO 12 tool. Four key themes were identified: (1) AI is a major tool for enhancing the cybersecurity of banks in Qatar; (2) banks face challenges in using AI for improving cybersecurity; (3) AI can be used destructively and thus poses a threat to cybersecurity in banks of Qatar; (4) employed AI-based tools have vulnerabilities that can be exploited. Overall, Qatar banks can be expected to face new challenges in the future, due to changes in regulatory frameworks and increasing availability of AI-powered malware.
Languageen
PublisherTaylor & Francis
SubjectAI powered-malware
artificial intelligence
cyberattack patterns
decision-making
fin tech
machine learning
TitleArtificial Intelligence and Cyber Defense System for Banking Industry: A Qualitative Study of AI Applications and Challenges
TypeArticle
Pagination1-29
ESSN1087-6553
dc.accessType Open Access


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record