The user wants to understand Content Moderation / Safety Filters in the context of LLM Security and apply it to practical AI governance or compliance work.
Content moderation and safety filters are controls designed to detect, block, reduce, or escalate harmful, illegal, or policy-disallowed content. In AI systems, they are often combined with policy rules, model-based classifiers, logging, and human review for higher-risk cases.
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