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Explore a 13-minute conference presentation examining the adoption of AI technologies for protecting industrial control systems from a practitioner's perspective. Learn about research conducted through 18 semi-structured interviews with ICS security professionals who manage critical infrastructure like electric distribution and water treatment systems. Discover the current practices for alarm management in industrial environments, including anomaly detection, operator response coordination, and alarm rule set analysis. Understand why AI-based security approaches, despite their potential for detecting attacks and raising alarms, remain underutilized in practice. Examine the key challenges practitioners face beyond basic anomaly detection, particularly in alarm diagnosis and response coordination. Gain insights into the barriers preventing AI adoption in industrial control systems, such as limited data collection capabilities and low trust in vendor technologies. Review practical recommendations for making AI-based security tools more effective and trustworthy, including strategies for demonstrating model transparency through interactive pilot projects and addressing the unique operational constraints of critical infrastructure environments.
