# Threat modeling AI systems before deployment

> Understanding how to secure AI systems is crucial for developers and engineers in the field. This lesson covers threat modeling specific to AI, focusing on identifying vulnerabilities unique to AI systems, such as prompt injection and data poisoning. Participants will learn about the STRIDE framewo…

- Web page: https://learn.thecyberinstructor.com/lesson/threatmodelingaisystemsbeforedeployment-9931c
- Program: [AI for Cybersecurity](https://learn.thecyberinstructor.com/program/ai-for-cybersecurity-8503)
- Access: Requires enrollment in AI for Cybersecurity
- Length: 2 h 7 min video
- Skills: MLOps, LLMs, Docker, Git, System Design, Communication, Problem Solving
- Academy: The Cyber Instructor

## About this lesson

Understanding how to secure AI systems is crucial for developers and engineers in the field. This lesson covers threat modeling specific to AI, focusing on identifying vulnerabilities unique to AI systems, such as prompt injection and data poisoning. Participants will learn about the STRIDE framework adapted for AI, the importance of multi-layered defenses, and practical strategies for implementing security measures in AI applications. This knowledge is essential for anyone involved in AI development and deployment.

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