What Is a Large Language Model? A Large Language Model (LLM) is a type of AI trained on massive amounts of text data to predict the next most likely token in a sequence. That simple mechanic — predict the next token — is the foundation of everything from ChatGPT to Claude to Llama. ...
Introduction LLM applications broke a lot of assumptions security teams had spent two decades building. Input validation, output encoding, least privilege — all still relevant, but none of it was designed for a system that treats instructions and data as the exact same thing. The OWASP Top 10 for LLM Applications exists to give that gap a shared vocabulary. ...
If you’ve followed the Self-Hosted AI Stack walkthrough, you’ve got Ollama running locally, OpenClaw as your agent UI, and the whole thing locked down behind Tailscale. That’s a solid foundation. But a chat interface, however useful, isn’t the ceiling of what this stack can do. ...
There’s a certain appeal to running your own language model. No API costs, no data leaving your network, no rate limits, no terms of service to worry about when you feed it sensitive context. For anyone who works in security — or just values privacy — the idea of keeping inference local is worth the setup cost. ...
Every major cloud provider has an AI product now. Most of them are genuinely useful. They’re also asking you to send your data — your queries, your context, your documents — to infrastructure you don’t control, operated by a company whose incentives around data retention may not align with yours. ...