The user wants to understand Red Teaming in the context of LLM Security and apply it to practical AI governance or compliance work.
Red teaming is a structured adversarial testing process used to identify weaknesses, unsafe behavior, or harmful outputs in an AI system. It involves deliberately probing the system with challenging, malicious, or edge-case inputs so developers can evaluate and improve safeguards.
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