AI Red Team Test Planner
Generate a red team test plan for an AI feature, selecting attack categories by what the system actually does, sizing each category, and producing a checklist with the coverage gaps named.
Last reviewed by the Radiatus Cloud team
Securing AI in production?
We build guardrails, governance & compliance for AI systems.
Coverage comes from the capability list, not from a list of attacks
Red teaming an AI system tends to start from whatever attacks the tester has read about, which produces deep coverage of prompt injection and none of the categories that happen to be out of fashion. Working the other way round, from what the system can do, gives a coverage argument: if it retrieves documents then indirect injection applies, if it calls tools then confused deputy applies, if it serves multiple tenants then cross-tenant leakage applies. The gaps then become visible, because they are capabilities with no category attached rather than attacks nobody thought of.
Most categories need multi-turn tests
Single-prompt tests find the failures that a single prompt causes, which is a small and shrinking share of the real ones. Attacks that establish a premise, then a role, then make a request that follows naturally from both are how published jailbreaks work and how actual misuse proceeds. A plan that budgets only for single prompts will report a good result and will have tested the easy half.
The output is a plan, and the value is in what it says was not tested
A red team report listing what was found is less useful than one listing what was attempted and what was deliberately left out. The untested set is what the deploying team needs in order to cover it another way, and it is the section that gets dropped because it reads as an admission. Naming it converts an unknown into a known limitation, which is the only form of it anyone can act on.
Related tools
- AI Prompt Leakage Analyzer — Paste a system prompt and a hostile user input to see whether the prompt holds secrets and whether the input carries injection patterns. Local, instant.
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Frequently Asked Questions
How should attack categories be chosen?
From what the system can do rather than from a list of known attacks. Retrieval implies indirect injection, tool access implies confused deputy, multi-tenancy implies cross-tenant leakage. The gaps then show up as capabilities with no category attached.
How many tests per category?
Enough that a category returning nothing means something. A handful of prompts finding nothing tells you very little; the plan sizes each category so absence of a finding is informative rather than merely uninformative.
Why do multi-turn tests matter so much?
Because attacks that build context across turns are how published jailbreaks work and how real misuse proceeds. A plan budgeting only for single prompts tests the easy half and reports a good result.
Should the report say what was not tested?
Yes, and it is the most useful section. The untested set is what the deploying team needs in order to cover it another way, and naming it turns an unknown into an actionable known limitation.
Does this generate attack prompts?
No. It builds the plan structure, sizes it and names the coverage gaps. The prompts themselves need to come from people who understand your specific system and its failure modes.
Privacy & Security
Everything runs in your browser; nothing is uploaded.
How to Use
Describe your system to generate a structured red team plan.
Disclaimer: This tool is provided "as is" without warranty of any kind. Results are for educational and utility purposes.
Related Tools
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