Development of efficient and reliable AI-based cyber attack detection technology for IT & OT converged control systems, taking into account the security paradigm of industrial digital transformation. Key Development Content:

• Anomaly detection model based on control equipment operational data (SW).
• Automated feature extraction technology for anomaly detection through automatic data input segment adjustment (SW).
• Correlation analysis model for logs and network packet events, specialized for IT & OT converged control systems (SW).
• Correlation analysis matrix for operational data, control system logs, and network packets (Methodology).
• Enhanced Adversarial Defense (EAD) model for effective response to adversarial attacks in control systems (SW).
• Technology to enhance the performance of the EAD model by strengthening its security robustness (SW).
• AI-based GenAI threat detection model for the OT environment (SW).
• Adversarial Machine Learning (AML) model to secure log/packet events in the OT network environment (SW).
• Explainable Artificial Intelligence (XAI) model for secure operational data in the OT environment (SW).
• Zero-shot learning-based advanced attack detection model for OS in the OT environment (SW).
• Commercial appliance product for monitoring anomalies in control systems (SW + HW).