Skip to main content
AI Security·Updated 2026-10-21

What is the OWASP Top 10 for LLM Applications?

Short answer

It is an OWASP project that lists the most important security risks for applications built on large language models, including prompt injection, sensitive information disclosure, supply chain risks, data and model poisoning, improper output handling and excessive agency.

The details

Teams use it as a checklist when designing, testing and reviewing AI features. It pairs well with MITRE ATLAS, which catalogs real-world adversary techniques against AI systems.

Terms explained

MITRE ATLAS
MITRE ATLAS is a public knowledge base of adversary tactics and techniques against AI-enabled systems, modeled on MITRE ATT&CK.
Prompt injection
Prompt injection is an attack on AI applications in which crafted input, typed directly or hidden in content the model reads, overrides the developer’s instructions.
Data poisoning
Data poisoning is the manipulation of data used to train, fine-tune or ground an AI model so that it behaves in a way the attacker wants.
OWASP Top 10
The OWASP Top 10 is an awareness list of the most critical security risks to web applications, published by the Open Worldwide Application Security Project.

Sources

Related questions