Harness AI for Threat Detection, Anomaly Monitoring, and Cyber Defense in Critical Infrastructure
π₯ Why This Course?
*"AI-driven attacks on ICS/OT systems surged by 300% in 2023"* β Dragos Threat Report
This course bridges the gap between AI innovation and industrial cybersecurity, equipping you to:
β Detect AI-augmented threats targeting PLCs, SCADA, and IIoT
β Deploy AI-driven anomaly detection in OT environments
β Mitigate risks like adversarial ML and prompt injection
β Align defenses with IEC 62443 and NIST AI RMF
π Course Breakdown
π Section 1: AI Foundations for ICS/OT
Supervised vs. unsupervised learning in industrial contexts
Reinforcement learning for adaptive defense
AI vs. traditional signature-based detection
π‘οΈ Section 2: Threat Detection & Response
AI Technique | OT Application | Tool Example |
---|---|---|
Neural Networks | False command detection | Darktrace OT |
Time-Series Analysis | Sensor spoofing alerts | Nozomi Networks |
Federated Learning | Cross-site threat intel | Siemens MindSphere |
π Section 3: Real-World Implementations
Power Grids: AI-augmented DDoS mitigation
Water Treatment: Predictive maintenance for pumps
Oil & Gas: Autonomous threat hunting in pipelines
β οΈ Section 4: AI Risks & Mitigations
Adversarial ML (e.g., spoofing PLC inputs)
Hallucination risks in SOC dashboards
Human-in-the-loop (HITL) safeguards
π― Who Should Enroll?
ICS/OT Security Engineers
Cybersecurity Architects
Critical Infrastructure Operators
IT/OT Convergence Specialists
π Career Impact
$120K+ Median Salary for AI-OT security roles (ISCΒ² 2024)
NERC CIP & IEC 62443 Alignment for compliance-driven roles
Defend Against Stuxnet-Style AI Attacks
#AISecurity #ICS #OTSecurity #CyberDefense #CriticalInfrastructure
Technical Specifications
Format: | MP4 (H.264, 1080p) |
---|---|
Duration: | 3h 4m |
Size: | 1.47 GB |
Audio: | AAC, 44.1 KHz |
Subtitles: | English |
π§ Prerequisites
Basic ICS/OT knowledge (SCADA, MODBUS)
Familiarity with cybersecurity principles
No AI coding experience required
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