What is AI red teaming?

Red teaming is deliberately probing an AI system with adversarial inputs to find failures before attackers or users do. It surfaces jailbreaks, data leaks, harmful outputs, and instruction-following gaps so you can patch them before release.

Are these prompts safe to use?

The prompts are templates designed to test your own system in a controlled setting. They probe for weaknesses but do not contain actual harmful payloads. Only run them against systems you own or are authorized to test.

How many prompts should I generate?

Start with a handful per category to find obvious gaps, then expand. Coverage matters more than volume early on — test several distinct categories rather than one hundred near-identical injections.

Does this guarantee my AI is safe?

No. Passing these tests means these specific attacks did not succeed, not that none can. Treat red teaming as continuous — rerun after every prompt or model change and combine it with monitoring in production.

Does my system description get sent anywhere?

No. Generation happens entirely in your browser using built-in templates. Nothing you type is uploaded or stored.

AI Red Team Prompt Generator

AI red team prompt generator

Before you ship an AI feature, you want to know how it behaves under pressure. The AI red team prompt generator builds a batch of adversarial test prompts across categories like role confusion, data extraction, harmful-content elicitation, and boundary testing, tailored to a short description of your system. Run them against your application and watch for responses that break your policy.

How it works

You describe what your AI does, pick which attack categories matter, and choose how many prompts per category. The tool fills category-specific templates with your system context to produce realistic probes — for example a data-extraction test that asks your assistant to reveal its system prompt, or a boundary test that pushes just past your stated scope. Everything is generated locally from built-in templates, so nothing you enter leaves the browser. Copy the batch and feed each prompt to your system, then review the outputs for leaks, jailbreaks, or off-policy answers.

Tips and notes

Test breadth first. A few prompts across many categories find more than a hundred near-identical injections.
Authorized targets only. Run these against systems you own or have permission to test.
Re-run after every change. A new model version or prompt tweak can reopen a hole you previously closed.
Pair with monitoring. Red teaming finds known failure modes; production logging catches the ones you did not anticipate.