# Threat modeling AI systems before deployment

> Threat modeling is essential for securing AI systems before deployment. This lesson covers the principles of threat modeling specifically tailored for AI, including the differences from traditional models, the importance of understanding trust boundaries, and the application of the STRIDE framework…

- Web page: https://learn.thecyberinstructor.com/lesson/threat-modeling-ai-systems-before-deployment-6885
- Program: [AI for Cybersecurity (Sept 2026)](https://learn.thecyberinstructor.com/program/ai-for-cybersecurity-8168.md)
- Access: Requires enrollment in AI for Cybersecurity (Sept 2026)
- Length: 1 h 48 min video
- Skills: MLOps, LLMs, Docker, Git, System Design, Communication, Problem Solving
- Academy: The Cyber Instructor

## About this lesson

Threat modeling is essential for securing AI systems before deployment. This lesson covers the principles of threat modeling specifically tailored for AI, including the differences from traditional models, the importance of understanding trust boundaries, and the application of the STRIDE framework. Participants will learn actionable strategies for identifying vulnerabilities in AI systems, utilizing tools and techniques to enhance security, and implementing multi-layered defenses to mitigate risks effectively.

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