ThreatSense is an AI-powered cyber-risk modeling and analysis toolkit designed to assess vulnerabilities and cyber threats in Nuclear Instrumentation and Control (I&C) systems. The platform supports Gen 2 and 3 reactors, with extensibility for future Gen 4 reactors, and can also be utilized in broader Industrial Control Systems (ICSs) and general cyber-physical systems. It employs an advanced Bayesian Networks AI/ML engine to evaluate cyber-risk across physical, cyber, and compliance dimensions during both design-time and active deployment.
The toolkit features a modeling framework capable of capturing specific safety and operational requirements, such as redundancy and diversity, for comprehensive system modeling. It is configurable to evaluate sophisticated threats, including advanced persistent threats (APTs), multi-stage attacks, malware, exploits, and insider threats. An evaluation console delivers probabilistic metrics and actionable insights for maintenance impact assessment, wargaming, and determining exact consequences of compromise, such as safe or unnecessary shutdowns, loss of coolant accidents, control rod ejections, and core damage.
