G Khartheesvar

LLMGoat is a locally hosted, interactive security environment where you can safely exploit real vulnerabilities in LLM-powered applications, see the impact firsthand, and walk away actually understanding why these attacks work. It covers all 10 vulnerabilities from the OWASP LLM Top 10, things like prompt injection, system prompt leakage, data poisoning, and unbounded consumption, each built as its own live scenario with a real chatbot you can break.

The idea behind LLMGoat is simple: reading about LLM vulnerabilities is one thing, but watching a chatbot hand over confidential credentials because you asked nicely, or seeing a live database get wiped through a single chat message, hits differently. Every challenge in LLMGoat is designed around a realistic scenario. This includes a university HR bot, a financial advisor, and a research assistant. So the risks feel concrete rather than theoretical. The environment runs entirely on your own machine using open-source models, so there are no API costs, no data leaving your system, and no setup friction beyond pulling a model and starting the server. Whether you are a developer who wants to build safer AI features, a security professional exploring a new attack surface, or a student learning about AI risks for the first time, LLMGoat gives you a place to actually get your hands dirty.