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Advanced AI Malware Analysis for Aerospace Platforms Essentials
"Advanced AI Malware Analysis for Aerospace Platforms Essentials" focuses on analyzing and mitigating AI-driven and AI-targeting malware threats in aerospace systems. Participants learn to reverse engineer malware designed to corrupt AI inference, mislead navigation systems, or hijack automated processes. The course provides techniques for behavioral analysis, sandboxing, and AI-assisted threat detection—equipping aerospace cybersecurity teams to protect the next generation of AI-integrated missions.
Course Overview
None
Learning Objectives
- Understand advanced techniques for AI malware analysis.
- Analyze the characteristics and behavior of malware targeting aerospace platforms.
- Evaluate methods for detecting and mitigating AI-driven cyberattacks.
- Identify advanced persistent threats (APTs) leveraging AI in the aerospace sector.
- Learn how to analyze and defend against sophisticated AI-powered malware targeting critical aerospace systems.
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.