Cybersecurity in financial services: A technical deep dive into protection, compliance, and threat mitigation

Financial services cybersecurity has emerged as a critical cornerstone of operational resilience in the digital banking era. The sector faces increasingly sophisticated threats while managing vast amounts of sensitive data and maintaining regulatory compliance. From advanced fraud detection systems powered by artificial intelligence to comprehensive data protection architectures, financial institutions are implementing multi-layered security strategies. The integration of emerging technologies like machine learning, behavioral biometrics, and cybersecurity mesh architectures has transformed threat detection and response capabilities. Organizations are adopting zero-trust frameworks, privileged access management, and dynamic security controls while ensuring compliance with evolving regulations such as PCI DSS and GDPR. The convergence of AI-driven security measures with traditional protection mechanisms is reshaping how financial institutions safeguard their digital assets and maintain customer trust.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17212098
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

Cybersecurity in financial services: A technical deep dive into protection, compliance, and threat mitigation

Zenodo (CERN European Organization for Nuclear Research)
Impact of AI and Big Data on Business and Society
article

Cybersecurity in financial services: A technical deep dive into protection, compliance, and threat mitigation

article en

Abstract

Financial services cybersecurity has emerged as a critical cornerstone of operational resilience in the digital banking era. The sector faces increasingly sophisticated threats while managing vast amounts of sensitive data and maintaining regulatory compliance. From advanced fraud detection systems powered by artificial intelligence to comprehensive data protection architectures, financial institutions are implementing multi-layered security strategies. The integration of emerging technologies like machine learning, behavioral biometrics, and cybersecurity mesh architectures has transformed threat detection and response capabilities. Organizations are adopting zero-trust frameworks, privileged access management, and dynamic security controls while ensuring compliance with evolving regulations such as PCI DSS and GDPR. The convergence of AI-driven security measures with traditional protection mechanisms is reshaping how financial institutions safeguard their digital assets and maintain customer trust.

Zenodo (CERN European Organization for Nuclear Research)
Infosys (India) (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 40%
Impact of AI and Big Data on Business and Society
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