AI-DRIVEN CYBER CAPABILITIES IN DEFENSE RESOURCE PLANNING Cover Image

AI-DRIVEN CYBER CAPABILITIES IN DEFENSE RESOURCE PLANNING
AI-DRIVEN CYBER CAPABILITIES IN DEFENSE RESOURCE PLANNING

Author(s): Levan Kalatozishvili
Subject(s): Social Sciences, Economy, Education, General Reference Works, Business Economy / Management
Published by: Regional Department of Defense Resources Management Studies
Keywords: AI; Cyber Capabilities; Defense Resource Planning; Capability Development; Strategic Management;

Summary/Abstract: This article examines the integration of AI-driven cyber capabilities into defense resource planning, highlighting their transformative impact on strategic, human,and technological resource allocation. While cyber capabilities have traditionally focused on operational effectiveness, the advent of AI introduces unprecedented complexity in capability development, budgeting, training, and doctrine adaptation.The study identifies current challenges in aligning AI-enhanced cyber systems with existing defense resources, including workforce skill gaps, financial constraints, and operational readiness considerations. Using a comparative analysis of international case studies and defense planning frameworks, the research demonstrates how AI driven capabilities can optimize resource distribution, enhance response times to cyber threats, and strengthen overall military preparedness. The article contributes novel insights into the operationalization of AI in defense contexts, offering a framework for strategic resource allocation that balances technological innovation with human and institutional constraints. Findings indicate that effective integration of AI-driven cyber capabilities requires coordinated planning, continuous skill development, and adaptive doctrines, ensuring that defense organizations can fully leverage emerging technologies while maintaining resilience and strategic flexibility.

  • Issue Year: 17/2026
  • Issue No: 1
  • Page Range: 41-62
  • Page Count: 22
  • Language: English
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