Cybersecurity in cloud-based insurance: A comprehensive analysis of risks and solutions

The insurance industry is undergoing a significant digital transformation, with cloud computing becoming central to modern operations. This shift brings unprecedented cybersecurity challenges as insurers migrate sensitive policyholder data to cloud platforms. The growing sophistication of cyber threats, including ransomware and phishing attacks, poses substantial risks to insurance providers. A comprehensive examination of security frameworks reveals the critical importance of multi-layered protection strategies; the article incorporates advanced technologies like AI and machine learning for threat detection. Integrating zero-trust architectures, robust governance policies and compliance monitoring has proven effective in enhancing security postures. As the industry evolves, emerging technologies and prevention-focused approaches reshape how insurers address cybersecurity challenges while maintaining operational efficiency and 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.17242542
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00
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article

Cybersecurity in cloud-based insurance: A comprehensive analysis of risks and solutions

Zenodo (CERN European Organization for Nuclear Research)
Remote Sensing in Agriculture
article

Cybersecurity in cloud-based insurance: A comprehensive analysis of risks and solutions

article en

Abstract

The insurance industry is undergoing a significant digital transformation, with cloud computing becoming central to modern operations. This shift brings unprecedented cybersecurity challenges as insurers migrate sensitive policyholder data to cloud platforms. The growing sophistication of cyber threats, including ransomware and phishing attacks, poses substantial risks to insurance providers. A comprehensive examination of security frameworks reveals the critical importance of multi-layered protection strategies; the article incorporates advanced technologies like AI and machine learning for threat detection. Integrating zero-trust architectures, robust governance policies and compliance monitoring has proven effective in enhancing security postures. As the industry evolves, emerging technologies and prevention-focused approaches reshape how insurers address cybersecurity challenges while maintaining operational efficiency and customer trust.

Zenodo (CERN European Organization for Nuclear Research)
Arizona State University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 41%
Remote Sensing in Agriculture
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