Warfare 6.0: AI Driven Threatcasting in Intelligence, COIN, and CT Strategies

Authors

  • Dr. Zeeshan Zaighum Assistant Professor, School of Media and Mass Communication, and Research Fellow at BCPR, Beacon House National University, Lahore.
  • Hasan Zuberi Visiting Research Fellow at BCPR, Beacon House National University, Lahore.
  • Dr. Muhammad Jawed Aslam Associate Professor, School of Media and Communication Studies, UMT.

Keywords:

National Security, Threatcasting, Artificial General Intelligence, Counter Terrorism, COIN, Predictive Intelligence

Abstract

Warfare 6.0 is the next generation of warfare. It will be defined by the shift from narrowed AI to Artificial General Intelligence (AGI). The integration of AGI with quantum computing, sentient programming, and advanced machine learning will transform threatcasting, a practice used in predictive intelligence and counter-insurgency. The study is based on existing literature and case studies. This study explores the broad-spectrum utility of AI driven threatcasting across kinetic and non-actions in intelligence, security, counter insurgency domains. The study poses that AI driven threatcasting will be useful in cyber, cognitive, intelligence, nuclear, counter-terrorism, and counter extremism domains. By ensuring real-time data analytics, actionable intelligence can be used to proactively mitigate any threat in the aforementioned domains. With tools like Neuro Cognitive Threat Analysis, quantum computing, and advanced machine learning (AML); threatcasting can be transformed into more applicable and actionable field.

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Published

2026-05-14

How to Cite

Zaighum, Z., Zuberi, H., & Aslam, M. J. (2026). Warfare 6.0: AI Driven Threatcasting in Intelligence, COIN, and CT Strategies. Journal of Social Sciences Research & Policy, 4(2), 138–144. Retrieved from https://jssrp.org.pk/index.php/jssrp/article/view/329

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Articles