OWASP LLM Top 10 Cheat Sheet
WesEklund · x · 2026-07-14
This post condenses the OWASP LLM Top 10 into a practical version for indie developers, emphasizing the need to identify potential pitfalls before launching an AI application.
Key risks include: prompt injection, XSS/SSRF via LLM outputs, training data poisoning, model DoS, plugin/tool supply chain vulnerabilities, sensitive data exposure, insecure plugin design, excessive agency, overreliance by users, and model theft via API abuse.
The author concludes that while you don't need to fix all 10 items at once, you must understand which risks apply to your product and proactively implement validation, isolation, rate limiting, data masking, and privilege restriction.
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