Training Introduction
Modern industrial organisations rely heavily on interconnected control systems, remote access, industrial data platforms, and artificial intelligence to maintain high operational performance. Securing these critical environments requires a specialised Industrial Cyber Security Training Course that prioritises production continuity, equipment reliability, process safety, and the inherent constraints of legacy infrastructure.
This practical Industrial Cyber Security and AI-Enabled Defence Training Course equips professionals with actionable strategies to safeguard Operational Technology (OT), Industrial Control Systems (ICS), and Supervisory Control and Data Acquisition (SCADA) networks. Participants will explore how to evaluate industrial cyber risks, reinforce network architectures, manage patching constraints, and coordinate effective incident responses without disrupting essential operations.
Furthermore, this OT Security Training Course addresses the dual role of artificial intelligence in industrial environments. Attendees will examine how AI enhances anomaly detection, security monitoring, and incident triage, while also learning how to mitigate emerging cyber risks introduced by industrial AI applications through hands-on workshops and real-world case studies.
Key Focus Areas of This Course
- OT and ICS Security Foundations: Understanding the operational relationships between SCADA, DCS, PLCs, and legacy infrastructure alongside IT/OT convergence challenges.
- Risk Assessment and Governance: Applying ISA/IEC 62443 standards and NIST SP 800-82 Rev. 3 guidance to build asset inventories and scenario-based OT risk registers.
- Industrial Network Architecture: Designing secure zones, conduits, industrial DMZs, and controlled remote access to enforce defence in depth.
- Vulnerability and Configuration Management: Implementing compensating controls, passive protocol monitoring, and strict change management across engineering workstations.
- AI-Enabled Threat Detection and Security: Leveraging machine learning and behavioural analytics for anomaly detection while protecting industrial AI models from data poisoning and evasion.
- Coordinated Incident Response and Recovery: Building cross-functional OT playbooks that balance containment actions with process safety and safe system restoration.
