NRC issues cybersecurity sources sought

On February 2, the Nuclear Regulatory Commission (NRC) issued a sources sought notice for Characterizing Nuclear Cyber Security Using Artificial Intelligence/Machine Learning. Responses are due by 4:00 p.m. Eastern on February 17.

Artificial intelligence (AI) and machine learning (ML) technologies have the potential to provide tools for identifying, characterizing, and responding to cyber security events at nuclear power plants, i.e., the nuclear cyber security AI/ML use case or simply the AI/ML use case. For example, AI/ML may enable plant staff to monitor increasingly complex plant systems and detect and evaluate abnormal systems states resulting from a cyber attack.

To prepare to regulate nuclear applications of AI/ML, the NRC plans to conduct research activities to develop insights and fundamental knowledge about AI/ML and the AI/ML use case.

The NRC is seeking a vendor capable of performing research on the AI/ML use case. Tasks performed as part of this research include 1) identification of technologies and approaches applicable to the AI/ML use case, especially those useful for capturing and analyzing the system and cyber security states of nuclear plant systems, 2) evaluation of available technologies and approaches, and selection of a technology/approach suitable for research on and demonstration of the AI/ML use case, 3) implementation of the selected approach with a small test case to develop insights and fundamental knowledge about the application of AI/ML to nuclear cyber security such as the feasibility of detecting and distinguishing abnormal plant and cyber security states, considerations for accuracy and reliability, necessary and availability ML training data, utility for identifying and responding to a cyber-attack, and existing and novel risks inherent to the application of the technology, and 5) producing a technical report documenting the results of this project and generalizing the results of the test case as appropriate.

Review the full NRC cybersecurity sources sought.

Source: SAM

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