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The overwhelming majority of ICS cybersecurity datasets ignore critical early-stage threats, limiting the effectiveness of intrusion detection research.
Temporal inconsistencies in Digital Twins can serve as powerful indicators of cyber physical attacks, achieving up to 98% detection reliability without needing labeled attack data.
Automating ICS penetration testing with LLMs can translate technical findings into actionable executive reports, bridging the gap between security researchers and industrial operators.
