Cyber operations that impact the physical world rely on attacks against industrial control systems. These are the operational systems that control production lines, electrical plants, and critical infrastructure. Industrial systems' distinct structures, proprietary communication protocols, and blend of operational technology and information technology make attacking such systems a tall-order for cyber operations, yet machine learning could alter the nature of offensive operations. Machine learning may change cyber operations against industrial systems in three ways. First, modeling the industrial process using machine learning may decrease the number of failed attacks by advanced actors.