AI-driven threat intelligence: Strengthening cyber defense mechanisms in international cybersecurity frameworks

The rapid evolution of cyber threats in an increasingly interconnected world requires advanced solutions beyond traditional cyber security measures. The intelligence of threats given by Artificial Intelligence (AI) emerged as a transformative tool, improving the mechanisms of threat detection, prevention, and response. This study explores the role of AI in strengthening cyber defense in international cyber security structures. In order to analyze AI applications such as machine learning, Deep Education and behavioral analysis, research evaluates its effectiveness in reducing civilized cyber threats. In addition, the study investigates challenges related to AI adoption, including inter -efficiency, moral concerns and regulatory sanctions. This research highlights the intervals of existing cyber security structure through a qualitative approach, including case studies and comparative analysis. It proposes strategic recommendations to integrate AI-oriented threat intelligence into global policies. The results contribute to the academic discourse and the practical formulation of policies, emphasizing the need for international cooperation in the leverage of AI for the resilience of cyber security.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.17018833
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-driven threat intelligence: Strengthening cyber defense mechanisms in international cybersecurity frameworks

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

AI-driven threat intelligence: Strengthening cyber defense mechanisms in international cybersecurity frameworks

article en

Abstract

The rapid evolution of cyber threats in an increasingly interconnected world requires advanced solutions beyond traditional cyber security measures. The intelligence of threats given by Artificial Intelligence (AI) emerged as a transformative tool, improving the mechanisms of threat detection, prevention, and response. This study explores the role of AI in strengthening cyber defense in international cyber security structures. In order to analyze AI applications such as machine learning, Deep Education and behavioral analysis, research evaluates its effectiveness in reducing civilized cyber threats. In addition, the study investigates challenges related to AI adoption, including inter -efficiency, moral concerns and regulatory sanctions. This research highlights the intervals of existing cyber security structure through a qualitative approach, including case studies and comparative analysis. It proposes strategic recommendations to integrate AI-oriented threat intelligence into global policies. The results contribute to the academic discourse and the practical formulation of policies, emphasizing the need for international cooperation in the leverage of AI for the resilience of cyber security.

Zenodo (CERN European Organization for Nuclear Research)
Palestine Polytechnic University (PS)
Partnerships for the goals
Openalex Percentile: Top 55%
Geochemistry and Geologic Mapping
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AI-driven threat intelligence: Strengthening cyber defense mechanisms in international cybersecurity frameworks · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS