OWASP Releases 2026 LLM Top 10: 'The Model Will Be Fooled'
In one line: OWASP released its 2026 top 10 security risks for LLM applications, framing "the model will be fooled" as the starting point for defensive design.
Key points
- OWASP published its 2026 edition of the top 10 risks targeting LLM and generative AI applications.
- The core message is "the model will be fooled" — input manipulation like prompt injection cannot be fully prevented.
- Defensive focus shifts away from making the model unfoolable toward output validation, least-privilege access, and system boundary design that contain harm after a model is tricked.
Why it matters
As more teams embed LLMs into products, the security mindset is shifting from "trust the model" to "assume the model gets breached and defend around it." The OWASP top 10 serves as the de facto industry checklist that developers and security teams use to set priorities.
Read more
- OWASP 2026 LLM Top 10: "The model will be fooled" — Help Net Security
How this story unfolded
- LLM
- — Large Language Model의 약자로, '거대 언어 모델'이라고 해요. ChatGPT, Claude 같은 AI가 바로 LLM이에요. 엄청나게 많은 텍스트를 학습해서 사람처럼 글을 쓰고 대화할 수 있어요.