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AI/ML for Tactical Data Links (TDLs) Including Predictive Analytics, EW Support, and Track Fusion Fundamentals
"AI/ML for Tactical Data Links (TDLs) Including Predictive Analytics, EW Support, and Track Fusion Fundamentals" explores how artificial intelligence enhances TDL capabilities through automation, prediction, and signal analysis. Participants examine AI models for dynamic target tracking and electronic warfare support. Emphasis is placed on securing these models against adversarial attacks and ensuring their output integrity under contested environments.
Provider Information
Tonex, Inc.
6275 W. Plano Parkway, Suite 500
Plano, TX 75093
Course Overview
None
Learning Objectives
- Understand the application of AI/ML in enhancing tactical data links.
- Explore predictive analytics for network performance and threat detection.
- Analyze how AI/ML supports electronic warfare and track fusion.
- Recognize the dual-edged sword of AI/ML: powerful for defense, but also a potential cyber attack vector if not secured.
- Discuss the cybersecurity implications and safeguards for AI/ML-enabled tactical comms and C2 networks.
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
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.