OWASP Top 10 for LLM Applications: 2024 Edition

The OWASP Top 10 for LLM Applications provides a critical framework for understanding the most pressing security risks in AI systems. Let's break down each vulnerability and explore practical mitigations.

LLM01 — Prompt Injection

Direct and indirect prompt injection remain the #1 risk. Attackers manipulate LLM behavior through crafted inputs or poisoned external data.

LLM02 — Insecure Output Handling

Failing to sanitize LLM outputs before passing them to downstream systems can lead to XSS, SSRF, or command injection.

LLM03 — Training Data Poisoning

Malicious data introduced during training or fine-tuning can create persistent backdoors in model behavior.