Intelligence Studies and National Security Policy

Intelligence studies examines the structures, processes and practices by which states and non-state actors gather, analyse and apply information to inform national security decisions. Central to this field is the intelligence cycle, encompassing the direction of requirements, collection of raw data, analytical assessment and dissemination of conclusions to policy makers. Studies explore the evolution of collection methods, from human sources and signals interception to the growing role of open-source and social media analytics. The relationship between secrecy and transparency occupies a key position, balancing state prerogatives against democratic accountability and human rights. Advances in artificial intelligence and machine learning have prompted fresh debate on bias, ethics and the limits of algorithmic inference in contexts of coercive power. Sociological approaches have illuminated the transnational networks, epistemic communities and informal exchanges that underpin collaboration between allied agencies. Research also considers misuse of intelligence, including unlawful detention, torture and political interference, and how oversight mechanisms can strengthen legality and public trust. Throughout, the field connects to global security challenges, offering policymakers evidence on threat assessment, strategic communication and the management of emerging technologies in an increasingly contested international environment.

Research from Nature Portfolio

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Intelligence Studies and National Security Policy publication trend

The graph below shows the total number of articles in intelligence studies and national security policy across all publications each year (not limited to Nature Index journals).

Technical terms

Intelligence cycle: The iterative process of establishing requirements, collecting data, analysing information and disseminating assessments to decision-makers.

Open-source intelligence (OSINT): Information derived from publicly available sources such as media, academic publications and social networks used to support security analyses.

Epistemic community: A network of experts and professionals who share normative beliefs, criteria for validity and a common policy enterprise within a specialised domain.

Knowledge circulation: The transnational movement and exchange of intelligence products, analytical methods and professional expertise among agencies.

References

1. The ethical problems of ‘intelligence–AI’. International Affairs (2024).
2. Accountability, denial and the future-proofing of British torture. International Affairs (2020).
3. EU Institutional Politics of Secrecy and Transparency in Foreign Affairs. Politics and Governance (2017).
4. Political-intelligence elites, Strategic Political Communication and the press: the need for, and utility of, a benchmark of public accountability demands. Intelligence & National Security (2016).
5. Rethinking intelligence practices and processes: three sociological concepts for the study of intelligence. Intelligence & National Security (2022).
6. Circulation, not cooperation: towards a new understanding of intelligence agencies as transnationally constituted knowledge providers. Intelligence & National Security (2021).