Artificial Intelligence (AI) is poised to revolutionize the security landscape of Supervisory Control and Data Acquisition (SCADA) systems, the backbone of critical infrastructure. However, this transformative technology presents a dual-use dilemma: it can both enhance and undermine the resilience of industrial control systems.
This presentation will delve into the unique vulnerabilities of AI-powered SCADA environments. We will examine how adversarial AI can be used to manipulate sensor data, trigger false alarms, or even cause physical damage to industrial processes. Conversely, we will explore how AI-driven anomaly detection, threat intelligence, and real-time response can provide unprecedented protection against cyberattacks.
Through real-world case studies of AI-related incidents in industrial settings, we will uncover lessons learned and best practices for mitigating risks. Attendees will gain a deeper understanding of:
The specific threat vectors introduced by AI in SCADA environments
Practical strategies for leveraging AI to bolster SCADA security
The importance of building AI-resistant systems and human oversight
The need for collaborative threat intelligence sharing across critical infrastructure sectors
This session will provide actionable takeaways for operators, engineers, and cybersecurity professionals working to secure critical infrastructure in the age of AI.
Why This Talk is Relevant to ICS Cybersecurity Conference Attendees:
Directly addresses ICS and OT topics: This presentation focuses squarely on the security implications of AI for SCADA systems, the core technology of industrial control systems.
Original and innovative: The dual-use nature of AI in SCADA security is an emerging and under-discussed topic, making this presentation unique and timely.
Not a sales pitch: The focus is on educating attendees about the risks and opportunities of AI, not promoting any specific product or vendor.
Knowledgeable about the audience: The presentation is tailored for the industrial cybersecurity community, emphasizing real-world threats and practical solutions for critical infrastructure protection.
Presentation Outline:
Introduction
The growing importance of AI in industrial control systems
The dual-use nature of AI: both a tool and a weapon
AI-Driven Threats to SCADA Systems
Adversarial AI attacks: data poisoning, false alarms, manipulation of control logic
Case studies of AI-related incidents in critical infrastructure
Leveraging AI for SCADA Security
Anomaly detection and threat intelligence
Real-time response and incident mitigation
Best practices for implementing AI-powered security solutions
Building AI-Resistant SCADA Systems
The importance of human oversight and explainable AI
Strategies for hardening AI models against adversarial attacks
The role of threat intelligence sharing in a collaborative defense
Conclusion
Key takeaways for securing critical infrastructure in the AI era
The need for continued research and collaboration