AI-Powered Adaptive Cybersecurity Awareness Training for the Industrial Sector
Keywords:
AI-powered cybersecurity, adaptive training, industrial cybersecurity, phishing awareness, machine learning security.Abstract
Cybersecurity threats in industrial environments continue to evolve, necessitating effective security awareness training to mitigate risks. However, traditional training methods often fail due to their one-size-fits-all approach, lacking adaptability to employees’ roles, responsibilities, and threat exposure. This paper proposes an AI-powered adaptive cybersecurity awareness training system tailored for the industrial sector, focusing on manufacturing, energy, and critical infrastructure. The study simulates cybersecurity interactions for 100 industrial employees, each assigned unique profiles representing job roles, security knowledge levels, and cyber-risk factors. AI-driven training dynamically adjusts learning content based on user behavior, phishing susceptibility, response times, and security improvement rates. The simulation results demonstrate the effectiveness of AI-based adaptive training, achieving a 72% reduction in phishing susceptibility, a 50% improvement in incident response time, and a 69% increase in threat detection accuracy. These findings highlight the transformative role of AI and behavioral analytics in cybersecurity education, ensuring real-time, personalized training that enhances industrial cybersecurity resilience
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