Playbook: prompt red team

In this article

Define which behavior you want to protect

Before launching attacks, write the expected behavior: what it should answer, what it must refuse, what it cannot reveal, and how it should behave when it does not know. Without that baseline, red teaming finds noise instead of risk.

Build attack families, not random examples

Group tests by intent: instruction bypass, data extraction, context confusion, authority pressure, and prompt injection. That classification gives you coverage and avoids dependence on isolated clever examples.

Create short, long, and multistep variants of the same attack.
Test clean inputs and inputs mixed with real context.
Log outcome, severity, and reproduction condition.

Test the full chain, not only the visible prompt

Many failures do not begin in the main prompt. They begin in memory, retrieval, tools, or post-processing. Useful red teaming inspects the full circuit where a malicious instruction can enter or persist.

Classify failures by operating impact

Not every failure deserves the same response. Distinguish awkward output, tone drift, information leakage, improper action, and permission break. The right remediation depends on impact, not on the momentary panic.

Turn findings into maintainable controls

Each finding should end in a concrete action: prompt change, extra filter, tool change, new test, or a decision not to automate that segment. If learning does not become a control, the red team stays as an internal demo.

Unlock red team checklist

Playbook: prompt red team

Define which behavior you want to protect

Build attack families, not random examples

Test the full chain, not only the visible prompt

Classify failures by operating impact

Turn findings into maintainable controls

Unlock the full article

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