2
Artificial Intelligence Center, Faculty of Artificial Intelligence and Cognitive Sciences, Imam Hussein (AS) University
3
Faculty of Management, Imam Hossein University (IHU)
Abstract
Background: The rapid integration of emerging technologies, particularly artificial intelligence and quantum computing, into national security intelligence presents profound operational opportunities alongside unprecedented governance challenges. This article addresses the central research question regarding what multi-level governance architecture national intelligence organizations should adopt to effectively integrate disruptive technologies across the intelligence cycle while preserving democratic accountability, human rights, and strategic stability. Method: Drawing on the newly developed Multi-Level Intelligence Governance Regime (ML-IGR) framework, this study employs a PRISMA-guided systematic literature review and independent analytical synthesis (ijtihad). The research operationalizes six diagnostic indicators including the legal-compliance index, democratic-oversight intensity, rights-protection score, technological-risk-mitigation capacity, epistemic-accountability level, and cross-jurisdictional coordination density to conceptually illustrate and map current governance configurations across the United States, European Union, and Gulf Cooperation Council (GCC) contexts. Findings: The illustrative analysis reveals persistent, structural technology-governance lags across all examined frameworks. While localized strengths exist, such as the United States' emphasis on technological risk mitigation and the European Union's robust rights protection, systemic vulnerabilities remain widespread, particularly regarding epistemic accountability and cross-jurisdictional coordination density. Current architectures remain fragmented, reactive, and insufficiently institutionalized to manage multi-level risks. Conclusion: This study bridges Just Intelligence Theory with socio-technical and multi-level governance perspectives, moving the scholarship from normative description toward an actionable diagnostic paradigm. To balance intelligence power with institutional legitimacy, the article provides prescriptive pathways for sovereign governments, emphasizing the institutionalization of mandatory algorithmic impact assessments, technically expert oversight bodies, and enhanced sci-tech diplomacy platforms.
Ghaderi Kangavari,R , Dalir,R and Hassani Ahangar,A . (2026). Governance Regime of National Security (Intelligence towards Emerging Threats and Technologies). (e210904). Emerging Technologies and Governance, (), e210904
MLA
Ghaderi Kangavari,R , , Dalir,R , and Hassani Ahangar,A . "Governance Regime of National Security (Intelligence towards Emerging Threats and Technologies)" .e210904 , Emerging Technologies and Governance, , , 2026, e210904.
HARVARD
Ghaderi Kangavari R, Dalir R, Hassani Ahangar A. (2026). 'Governance Regime of National Security (Intelligence towards Emerging Threats and Technologies)', Emerging Technologies and Governance, (), e210904.
CHICAGO
R Ghaderi Kangavari, R Dalir and A Hassani Ahangar, "Governance Regime of National Security (Intelligence towards Emerging Threats and Technologies)," Emerging Technologies and Governance, (2026): e210904,
VANCOUVER
Ghaderi Kangavari R, Dalir R, Hassani Ahangar A. Governance Regime of National Security (Intelligence towards Emerging Threats and Technologies). Emerg. Technol. Gov.. 2026;():e210904.