OWASP Top 10 for LLM applications
Comes up in: AI engineering, AI system design, Web fundamentals
This concept is being written. It gets the full five steps — explanation, predict, interview angle, practice with tests, and review cards. Here is exactly what it will cover, so you can study it elsewhere in the meantime.
What it covers
- each entry of the current edition (2026, list and numbers via
<Fact>) with a real example and mitigation: prompt injection, sensitive information disclosure, excessive agency, supply chain, data and model poisoning, unbounded consumption, misinformation, hidden context exposure, vector and embedding weaknesses, improper output handling - what changed from the 2025 edition (system prompt leakage folded into hidden context exposure
- re-ordering)
Words you will know
What you will practise
- map 10 incidents to entries
Interview questions this answers
- What is prompt injection? Why can't you fix it with a better system prompt?
- What is excessive agency?
- How do you prevent an LLM app from leaking sensitive data?
- Walk through the OWASP Top 10 for LLMs.