Red-Teaming LLM Applications (EXPLAINED)
Hard project question on LLM red-teaming — adversarial prompts, automation, severity rubrics, and fix-verify cycles.
TL;DR — Quick Answer
Red-teaming proactively finds jailbreaks, injection, data exfil, tool abuse, and harmful outputs before attackers do. Process: define threat model and policies → manual expert probes + automated attack libraries → severity scoring (blocker/high/medium) → fix (guardrails, prompts, retrieval sanitization) → re-test to verify. Include indirect injection via RAG docs, multi-turn grooming, and encoded payloads. Integrate into CI with evolving attack set; not one-time — continuous with each feature launch.
The Interview Question
How do you red-team an LLM application before launch? Describe process, attack categories, and remediation loop.
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Red TeamSecurityJailbreakTestingSafetyAnthropicOpenAIMicrosoft