Anyone can try to break a chatbot. That is part of what makes AI red teaming feel accessible. Open a model, write a strange prompt, ask for something the system should refuse, reframe the request, and see what happens. Sometimes the result is funny. Sometimes it is useful. Sometimes it is a little alarming. As a starting point, that kind of testing has value. It is not enough for enterprise AI. Enterprise AI systems are not chat windows sitting politely in isolation. They include policies, retrieval pipelines, APIs, tools, permissions, workflows, data sources, business logic, and changing models. They run inside customer-facing […]
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