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1717185PublishedVol 9 · Issue 11

AI Driven Cybersecurity: Emerging Threats and Defensive Strategies

Shreya verma Ratnesh Kumar Pandey

Subject area: Science,Engineering and Technology  ·  Area of research: Cybersecurity

DOI: https://doi.org/10.64388/IREV9I11-1717185

Abstract

Artificial intelligence (AI) is reshaping IT security by both amplifying risks and enabling new Shielding. Malicious actors now exploit AI to automate sophisticated attacks including deep fake based social engineering, adaptive malware, and AI-powered phishing. At the same time defenders are deploying machine learning to detect anomalies, predict intrusions, and orchestrate rapid incident response. This dual-use nature of AI creates a dynamic battlefield where innovation drives both threat evolution and protective strategies. The latest research emphasizes resilience, ethical AI deployment, and hybrid shield. Prototype that combine human expertise with automated intelligence. This paper critically examines the dual role of AI as both a driver of new threats and a cornerstone of modern defenses, emphasizing the need for collaborative strategies that unite technology, policy, and education to safeguard the digital future.

Keywords

Artificial Intelligence, IT Security, AI-Enhanced Threats- Machine Learning- Manipulation Phishing -Adaptive- Malware- Anomaly Detection, Incident Response Ethical AI, Hybrid Defense Models Federated Learning Predictive Threat Modeling AI-Driven Deception.

How to cite this paper

Shreya verma, Ratnesh Kumar Pandey "AI Driven Cybersecurity: Emerging Threats and Defensive Strategies" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 6-15 https://doi.org/10.64388/IREV9I11-1717185
Shreya verma, Ratnesh Kumar Pandey "AI Driven Cybersecurity: Emerging Threats and Defensive Strategies" Iconic Research And Engineering Journals, vol. 9, no. 11, May. 2026, doi: https://doi.org/10.64388/IREV9I11-1717185
Shreya verma, Ratnesh Kumar Pandey (2026). AI Driven Cybersecurity: Emerging Threats and Defensive Strategies. Iconic Research And Engineering Journals, 9(11). doi: https://doi.org/10.64388/IREV9I11-1717185
Shreya verma, Ratnesh Kumar Pandey "AI Driven Cybersecurity: Emerging Threats and Defensive Strategies" Iconic Research And Engineering Journals, vol. 9, no. 11, May. 2026. Crossref, https://doi.org/10.64388/IREV9I11-1717185
@article{1717185,
      author = {Shreya verma, Ratnesh Kumar Pandey},
      title = {AI Driven Cybersecurity: Emerging Threats and Defensive Strategies},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {11},
      pages = {6-15},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1717185.pdf},
      abstract = {Artificial intelligence (AI) is reshaping IT security by both amplifying risks and enabling new Shielding. Malicious actors now exploit AI to automate sophisticated attacks including deep fake based social engineering, adaptive malware, and AI-powered phishing. At the same time defenders are deploying machine learning to detect anomalies, predict intrusions, and orchestrate rapid incident response. This dual-use nature of AI creates a dynamic battlefield where innovation drives both threat evolution and protective strategies. The latest research emphasizes resilience, ethical AI deployment, and hybrid shield. Prototype  that combine human expertise with automated intelligence. This paper critically examines the dual role of AI as both a driver of new threats and a cornerstone of modern defenses, emphasizing the need for collaborative strategies that unite technology, policy, and education to safeguard the digital future.},
      keywords = {Artificial Intelligence, IT Security, AI-Enhanced Threats- Machine Learning- Manipulation Phishing -Adaptive- Malware- Anomaly Detection, Incident Response Ethical AI, Hybrid Defense Models Federated Learning Predictive Threat Modeling AI-Driven Deception.},
      month = {May},
      doi = {https://doi.org/10.64388/IREV9I11-1717185}
  }