AI for Real-Time Anomaly Detection in OT Systems Fundamentals from Tonex, Inc.

AI for Real-Time Anomaly Detection in OT Systems Fundamentals

Online, Self-Paced

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.

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

Protection and Defense

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.