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2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
Southern Nuclear is leading the charge in artificial intelligence integration, with employee-developed applications driving efficiencies in maintenance, operations, safety, and performance.
The tools span all roles within the company, with thousands of documented uses throughout the fleet, including improved maintenance efficiency, risk awareness in maintenance activities, and better-informed decision-making. The data-intensive process of preparing for and executing maintenance operations is streamlined by leveraging AI to put the right information at the fingertips for maintenance leaders, planners, schedulers, engineers, and technicians.
Sang Min Han, Poong Hyun Seong (KAIST)
Proceedings | Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technolgies (NPIC&HMIT 2019) | Orlando, FL, February 9-14, 2019 | Pages 1088-1094
The aim of this study is to propose initiating threats and their bounding groups in order to identify initiating cyber threats, and to further apply the initiating threats to cyber risk assessment in nuclear power plants (NPPs). NPP are generally thought to be secure from cyber-attacks, as the control/monitoring network and business network in a NPP are separate from the external network. However, consecutive incidents at nuclear facilities have revealed the necessity of cyber risk assessment for NPPs. To determine initiating threats and their bounding groups for NPP, Operational experience report (OER) and repository of industrial security incidents (RISI) database were utilized. Each of the chosen incidents was documented with descriptions based on the following five characteristics: 1) type of attacker, 2) intentionality, 3) access method, 4) access type, and 5) purpose of the attack. The proposed organization of initiating threats and their bounding groups for NPPs represent a valid first attempt to determine such threats based on actual industrial incidents. This advance can also be further applied to describe scenarios and models of NPP cyber-risk assessments.