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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Model for improving skills and competencies in cybersecurity for bank employees.

Authors: Asemova, Rano;

Model for improving skills and competencies in cybersecurity for bank employees.

Abstract

The rapid digital transformation of the banking sector has significantly increased exposure to cyber threats, requiring a high level of cybersecurity skills and competencies among bank employees. This article proposes a comprehensive model aimed at improving cybersecurity competencies through a multi-level training framework, continuous monitoring, and performance-based assessment. The model integrates theoretical knowledge, practical simulations, risk-based learning modules, and behaviour-focused training to strengthen staff awareness, incident-response capabilities, and compliance with regulatory standards. The study highlights the necessity of building a cybersecurity culture within banks, utilizing modern digital tools, and establishing a standardized competency framework aligned with international best practices. The proposed approach enhances the preparedness of employees to detect, prevent, and respond to cyber incidents, ultimately increasing overall resilience and operational security in banking institutions.

Keywords

Cybersecurity training; banking sector; competency model; employee skills development; cyber risk management; digital security awareness; phishing simulation; incident response; regulatory compliance

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green