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AI for Real-Time Anomaly Detection in OT Systems Fundamentals
Detect anomalies in operational tech with "AI for Real-Time Anomaly Detection in OT Systems Fundamentals." Learn how AI identifies disruptions in industrial environments, ensuring safety and continuity.
Provider Information
Tonex, Inc.
6275 W. Plano Parkway, Suite 500
Plano, TX 75093
Course Overview
None
Learning Objectives
- Understand the fundamentals of AI for real-time anomaly detection in OT systems.
- Analyze how AI can enhance monitoring and threat detection in operational technology systems.
- Evaluate the benefits of AI for predictive maintenance and fault detection.
- Identify key AI techniques for real-time data analysis and anomaly detection.
- Discuss the challenges of implementing AI in diverse OT environments.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Work Roles
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.