Matteo Dora

OWASP Top 10 for LLM 2023

OWASP Top 10 for LLM 2023: Understanding the Risks of Large Language Models

In this post, we introduce OWASP's first version of the Top 10 for LLM, which identifies critical security risks in modern LLM systems. It covers vulnerabilities like Prompt Injection, Insecure Output Handling, Model Denial of Service, and more. Each vulnerability is explained with examples, prevention tips, attack scenarios, and references. The document serves as a valuable guide for developers and security practitioners to protect LLM-based applications and data from potential attacks.

Matteo Dora - Machine Learning Researcher
Matteo Dora
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