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AI Security for Aerospace & Defense Platforms (AISA-D) Training
"AI Security for Aerospace & Defense Platforms (AISA-D) Training" explores the intersection of artificial intelligence and mission-critical defense applications. Participants learn how to defend AI-based avionics, targeting systems, and decision engines from adversarial attacks. Cybersecurity topics include input manipulation, model inversion, and telemetry poisoning. The course prepares defense professionals to build secure, robust AI applications that cannot be exploited or misled during high-stakes missions.
Course Overview
None
Learning Objectives
- Understand the principles of AI security for aerospace and defense platforms.
- Analyze the vulnerabilities introduced by AI in critical systems.
- Evaluate techniques for securing AI algorithms and models.
- Identify potential adversarial attacks on AI-powered aerospace systems.
- Learn how to build resilient and secure AI systems to protect against cyber threats.
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.