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Conference Spotlight
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.
Fan Zhang, J. Wesley Hines, Jamie B. Coble
Nuclear Technology | Volume 206 | Number 7 | July 2020 | Pages 939-950
Technical Paper – Special section on the 2019 ANS Student Conference | doi.org/10.1080/00295450.2019.1666599
Articles are hosted by Taylor and Francis Online.
Most nuclear power plants (NPPs) under construction or under design are expected to deploy largely digital instrumentation and control (I&C) systems. Current fleets are increasingly looking toward converting to digital I&C systems due to the advantages of precise control, economic operation, and ease of procurement over conventional analog I&C systems. With all the benefits digital I&C systems bring, challenging cybersecurity concerns are introduced as well. Cyberattacks targeted at industrial control systems have grown in both frequency and capability in recent years. Despite efforts to air-gap digital I&C systems, NPPs can be vulnerable to these cyberattacks, as evidenced by recent cyber incidents at nuclear facilities. Cybersecurity of NPPs should be addressed in three complementary thrusts: cyberattack prevention, detection, and response. Considering the requirements of digital I&C systems, we propose a novel cybersecurity solution platform that consists of a data collection and extraction system, a multilayer cyberattack detection system, a cause analysis system with dynamic risk assessment, a cyberattack response system, and a main control room display system. This architecture also promotes cooperation between information technology experts and the operation technology team to improve cybersecurity by integrating process data together with traditional host system and network data in a unified platform. This paper presents the proposed cybersecurity architecture and demonstrates its efficacy with a simulated cyberattack on a cyber-physical system testbed. Together with traditional intrusion prevention methods and rule-based intrusion detection systems, this platform provides a solution for prevention, detection, and response to cyberattacks that is congruous with the defense-in-depth strategies of other NPP safety and security systems.