AI Security: The OWASP Top 10 LLM Risks Every Developer Should Know
10 risks, one practical checklist. The OWASP LLM Top 10 starts at your keyboard with the AI coding tools you already use.
Most LLM security articles warn you about the AI your users interact with. They don’t mention the AI tools you’re building with. I’ve used AI coding assistants to write code, generate documentation, and even learn cryptography fundamentals, all to deploy services in production. The OWASP Top 10 for LLM applications, updated after 2025, describes 10 risks that apply just as much to your internal AI toolchain as to the chatbot you’re shipping. The threat surface isn’t in front of your users. It starts in your IDE.
While writing this post, the articles covering this list that I read focus on external-facing chatbots. I wrote this one to also consider all 10 risks in the AI workflows engineers are already running inside their companies. If you’re a developer using AI tools like Claude Code, Codex, or GitHub Copilot, not just someone building an AI product, this is written for you.