Artificial Intelligence, Security, and Sovereignty: An Integrated Framework for Ethical Military Innovation and Global Governance

This thesis develops a comprehensive and interdisciplinary framework for integrating advanced technologies such as artificial intelligence, blockchain, quantum communication, and cyber-physical resilience into next-generation national and multinational defense ecosystems. It introduces the Dynamic Integrated National Security Ecosystem (DINSE) model that consolidates predictive analytics, federated mission networking, immutable data provenance, and human–machine hybrid decision-making architectures. The framework advances global security discourse by aligning cutting-edge innovation with international humanitarian law, NATO principles for responsible AI, and evolving regulatory regimes including the EU AI Act and India’s Digital Personal Data Protection Act. Key contributions include novel metrics for threat prediction, resilience, and trustworthiness, validated through empirical simulation and wargaming. The thesis positions this integrated model as both a conceptual and operational policy roadmap for ethical, transparent, and interoperable security governance in an era of autonomous systems and emerging technologies. The work supports scalable coalition interoperability while embedding accountability, transparency, and future-proof post-quantum cryptography resilience.

Keywords:

Artificial Intelligence, National Security, Military Innovation, Blockchain, Quantum Cryptography, Cyber-Physical Resilience, Federated Mission Networking, International Humanitarian Law, Ethical AI, Post-Quantum Cryptography, Data Provenance, Human–Machine Hybrid Control, Cybersecurity, Defense Ecosystems, Governance-by-Design.