# OWASP Top 10 for LLM Applications Overview

> Explore the OWASP Top 10 for LLM Applications. Learn to identify, categorize, and prioritize the most critical vulnerabilities in generative AI systems.

Canonical: https://codelivly.com/rooms/owasp-top-10-for-llm-applications-overview
Last updated: 2026-10-07

| | |
|---|---|
| Level | Beginner |
| Category | Cybersecurity |
| Lessons | 3 |
| Estimated time | 30 min |
| XP | 100 |

This module provides a comprehensive overview of the OWASP Top 10 for Large Language Model Applications. You will learn to map the unique risks of generative AI—such as Prompt Injection, Insecure Output Handling, and Training Data Poisoning—to a standardized, industry-recognized framework. By understanding these top vulnerabilities, you will be equipped to prioritize remediation efforts, communicate risks effectively to stakeholders, and build robust defense strategies for modern AI deployments.

## Lessons

1. What is the OWASP Top 10 for LLMs & Why It Exists (30 min)
2. Walking Through Each of the Top 10 Risks (30 min)
3. How This List Differs from the Traditional OWASP Top 10 (30 min)

## Related

- [Learning path: AI Application Architecture and Attack Surface](https://codelivly.com/learning-paths/ai-application-architecture-and-attack-surface)
- [All rooms](https://codelivly.com/rooms)