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March 28, 2026Open Access

Artificial Intelligence in Cybersecurity: Defensive Capabilities, Offensive Risks, and the Future of Intelligent Cyber Defense

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Authors

RGRimon Gerges

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Overview

Analysis examines AI's defensive capabilities and offensive risks in cybersecurity, suggesting a strategic framework for organizations.

Key Points

  • This research aims to analyze the dual role of AI in enhancing cybersecurity while identifying associated risks.
  • Comprehensive analysis of AI applications in cybersecurity
  • Examination of real-world applications like anomaly detection and SOCs
  • Review of emerging threats and attack vectors introduced by AI
  • Case studies and industry analysis to illustrate findings
  • AI enhances threat detection and automated response mechanisms in cybersecurity
  • Identified new attack vectors such as AI-generated phishing and adversarial machine learning
  • Proposed a strategic framework for integrating AI into cybersecurity programs
  • Highlighted the importance of governance and ethical considerations in AI usage

Cite This Study

Rimon Gerges (2026) studied this question.

synapsesocial.com/papers/69c772058bbfbc51511e2350https://doi.org/10.5281/zenodo.19240375
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