# Threat Modeling an AI Application

> Learn to systematically identify, quantify, and mitigate AI-specific risks using structured threat modeling frameworks tailored for LLMs and agentic systems.

Canonical: https://codelivly.com/rooms/threat-modeling-an-ai-application
Last updated: 2026-10-14

| | |
|---|---|
| Level | Advanced |
| Category | Cybersecurity |
| Lessons | 2 |
| Estimated time | 30 min |
| XP | 100 |

This module introduces structured threat modeling methodologies specifically adapted for AI and machine learning systems. You will learn how to map AI data flows, identify unique threat vectors (like data poisoning, model inversion, and prompt injection), and apply frameworks such as STRIDE for AI and the OWASP Top 10 for LLMs to build robust, secure AI architectures from the ground up.

## Lessons

1. What is Threat Modeling and Why It Comes First (30 min)
2. Applying STRIDE-Style Thinking to AI Systems (30 min)

## Related

- [Learning path: AI Red Team Methodology](https://codelivly.com/learning-paths/ai-red-team-methodology)
- [All rooms](https://codelivly.com/rooms)