Enhancing Cybersecurity in the Age of AI: Challenges and Solutions

As cyber threats become increasingly complex, artificial intelligence (AI) has emerged as a crucial tool for strengthening cybersecurity systems. This paper explores how AI enhances cyber defense through real-time threat detection, behavioral analysis, and automated response mechanisms. However, the integration of AI also introduces new vulnerabilities, including adversarial attacks, data dependency risks, and ethical concerns surrounding surveillance and privacy. The dual nature of AI—as both a powerful defense mechanism and a potential security risk—underscores the need for responsible deployment. This study examines current challenges in AI-driven cybersecurity and proposes practical solutions to mitigate risks while maximizing security benefits. The paper concludes by emphasizing the importance of transparency, robust data governance, and continuous model evaluation in building resilient AI-powered cybersecurity frameworks.

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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.17212316
Primary Topic
Latin American Literature Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Cybersecurity in the Age of AI: Challenges and Solutions

Zenodo (CERN European Organization for Nuclear Research)
Latin American Literature Studies
article

Enhancing Cybersecurity in the Age of AI: Challenges and Solutions

article en

Abstract

As cyber threats become increasingly complex, artificial intelligence (AI) has emerged as a crucial tool for strengthening cybersecurity systems. This paper explores how AI enhances cyber defense through real-time threat detection, behavioral analysis, and automated response mechanisms. However, the integration of AI also introduces new vulnerabilities, including adversarial attacks, data dependency risks, and ethical concerns surrounding surveillance and privacy. The dual nature of AI—as both a powerful defense mechanism and a potential security risk—underscores the need for responsible deployment. This study examines current challenges in AI-driven cybersecurity and proposes practical solutions to mitigate risks while maximizing security benefits. The paper concludes by emphasizing the importance of transparency, robust data governance, and continuous model evaluation in building resilient AI-powered cybersecurity frameworks.

Zenodo (CERN European Organization for Nuclear Research)
Nnamdi Azikiwe University (NG)
Openalex Percentile: Top 39%
Latin American Literature Studies
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