Nuclear Security Overview

Principles

Definition

Nuclear security is a multidisciplinary academic concept and research field focused on the prevention, detection, and response to malicious acts involving nuclear materials, facilities, and related technologies. It investigates the technical, organizational, and human measures necessary to protect against theft, sabotage, and unauthorized use, serving as a critical pillar for global non-proliferation and safety.

Ontological type

Protective Technologies

Threat Landscape

Regulatory Frameworks

Key developments

Key Figures

Instrumentation and Nuclear Data era

P. B. Price [1], working across Washington University in St. Louis [2] and the University of California, Berkeley [3], was a prominent figure in the instrumentation-centric era of nuclear data. P. B. Price's Track Registration in Various Solid-State Nuclear Track Detectors (1964) [4] marked a key contribution by showing how solid-state track detectors can identify particles and characterize decays, a capability that accelerated rapid nuclear data characterization in this era. This work demonstrated how track-etch and solid-state detection could feed into broad data programs supporting cross sections, neutron yields, and activation datasets that underpin reactor physics and safeguards modeling [4]. Price [1]'s affiliations at Washington University in St. Louis [2] and the University of California, Berkeley [3] illustrate the era's collaborative environment that supported detector innovations and coordinated nuclear data development.

Norms and Institutional Governance era

Scott D. Sagan[1], affiliated with Stanford University[3] and Princeton University[4] during this era, highlighted how organizational dynamics and deterrence shaped nuclear security thinking. His contributions centered on The Limits of Safety: Organizations, Accidents and Nuclear Weapons[6] and Why Do States Build Nuclear Weapons? Three Models in Search of a Bomb[7], arguing that organizational failures and strategic incentives drive safety outcomes and proliferation decisions, a perspective that underscored the importance of governance and policy learning for restraint in this era. Nina Tannenwald[2], affiliated with Harvard University[5] and Stanford University[3], helped articulate the normative basis for restraint in this era. Tannenwald[2]'s key contribution, The Nuclear Taboo: The United States and the Normative Basis of Nuclear Non-Use[8], argued that the nuclear taboo constrained state and leader choices and shaped governance norms—an insight central to understanding norms and institutional governance in 1972–2008.

Data-Driven Risk Analytics era

Satoshi Chiba[1] is associated with the University of Wisconsin–Madison[3] and the University College London[4] during the Data-Driven Risk Analytics era. His contribution centers on the JENDL-4.0: A New Library for Nuclear Science and Engineering[7], which underpins second-order sensitivity analyses and refined risk quantification essential to leakage and source-term assessments in this era. J. Katakura[2] is associated with the University of Manchester[5] and Lancaster University[6] during the Data-Driven Risk Analytics era. His key contributions in this era derive from the JENDL-4.0 paper[7], advancing nuclear data libraries that support rigorous risk-informed safeguards and attribution capabilities, which are central to the era's analytic framework.