Paste the attempt and the trace
Bring jailbreak prompts, refusals, partial bypasses, tool outputs, RAG context, and the behavior pattern you're chasing.
LLM Red Teaming
LLM red teaming is prompt engineering at the limit. Bring the attempts, responses, refusals, and traces. F.R.A.N.K helps turn pressure into proof.
Use F.R.A.N.Kwhen LLM red teaming hits the messy middle: contradictory refusals, partial bypasses, tool misuse, retrieval drift, or unclear severity.
Reviewed July 4, 2026
Operator Brief
Use this like a working session, not a reading assignment. Paste the trace, name the target, and turn the loose pieces into a next move you can defend.
What F.R.A.N.K keeps in view
Reads prompt traces, refusals, and partial completions in context.
Helps separate model issues, system prompt leaks, retrieval poisoning, and tool misuse.
Turns LLM red teaming findings into scope, severity, and retest language that reads cleanly.
Actual Use
Bring jailbreak prompts, refusals, partial bypasses, tool outputs, RAG context, and the behavior pattern you're chasing.
Was it the system prompt? The retrieval? Tool scoping? Output filter? F.R.A.N.K helps isolate which layer of the LLM stack actually moved.
What you hand engineering is a scoped finding with retest steps attached, no translation meeting required.
Questions
Prompt injection testing is one tactic. LLM red teaming is the engagement around it, from guardrail evaluation to agent abuse, run with scope and a deliverable.
Yes. Paste prompts, traces, retrieved context, tool calls, and observed behavior. F.R.A.N.K helps trace which layer actually moved, then shapes a clean retest.
F.R.A.N.K stays model-agnostic in its reasoning so the work doesn't rot when a new model lands. It reads the prompt and response you bring it, not the brand on the model card.