How do you test your AI guardrails before malicious users find the loopholes?
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Trying to predict every weird social engineering phrase users might throw at a production chat box feels impossible. Every time we think our guardrails are solid, someone finds a creative hypothetical scenario that makes the model fold instantly. Traditional unit tests just do not cover conversational edge cases
Are you using automated red-teaming scripts, or is catching these prompt injections in production just an ongoing game of whack-a-mole for your team?
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For my own agents I stopped trying to win that inside the prompt. Anything that must never happen is blocked outside the model, by code that runs before the action, so a clever phrase can't talk its way past it. I keep the model out of decisions a plain script can make. When it does have to judge, a second model from another vendor checks the answer.