artificial intelligence; awareness; behavioral cybersecurity; delphi study
Abstract :
[en] The use of cybersecurity tools powered by artificial intelligence (AI) continues to gain traction in the financial services industry. On the one hand, they can strengthen an organization’s technical cybersecurity posture. On the other hand, even if cybercriminals also leverage AI to exploit human weaknesses, there are early indications that AI can help equip the workforce against evolving threats. Based on a structured literature review (SLR) and a Delphi study, this article identifies the most promising end-user-focused use cases in which AI can assist financial institutions in combating cybersecurity threats and gearing their workforce up to thwart cyberattacks. For information security executives and researchers alike, this study provides a first set of general directions on which AI-powered and user-centric tools and solutions to focus on in the near future.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > FINATRAX - Digital Financial Services and Cross-organizational Digital Transformations NCER-FT - FinTech National Centre of Excellence in Research
Disciplines :
Management information systems Computer science
Author, co-author :
FRANK, Muriel-Larissa ✱; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX
BRENNECKE, Martin ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX
HÖLZMER, Pol ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX
POCHER, Nadia ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX
FRIDGEN, Gilbert ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX
✱ These authors have contributed equally to this work.
External co-authors :
no
Language :
English
Title :
Potential of AI for User-Centric Cybersecurity in the Financial Sector
Publication date :
07 January 2025
Event name :
Proceedings of the 58th Hawaii International Conference on System Sciences (HICSS)
FNR - Fonds National de la Recherche FNR - Luxembourg National Research Fund Banque et Caisse d'Épargne de l'État (Spuerkeess)
Funding number :
13342933
Funding text :
This work was funded by Luxembourg’s FNR and PayPal, PEARL grant ref. 13342933/Gilbert Fridgen, and grant ref. NCER22/IS/16570468/NCER-FT (CryptoReg), and supported by Banque et Caisse d'Épargne de l'État (Spuerkeess). For open access purposes, the authors have applied a CC BY 4.0 license to any Author Accepted Manuscript arising from this submission.
