Defend an LLM agent against prompt injection — direct, indirect, tool-result, and document-borne. Use when the user is building an agent that reads untrusted content (web pages, emails, documents, tool outputs) or exposes user-provided text to a downstream agent, and mentions prompt injection, indirect injection, jailbreak via document, tool-result injection, untrusted input, instruction override, or asks "how do I stop the agent from following injected instructions?" / "is RAG safe from injection?".