What is content filtering and how does it complement prompt engineering?

Content filters are classifiers that examine text for unsafe categories like violence, hate, sexual content, or self-harm. They run before prompts reach the LLM and after responses are generated. Filters catch attacks and policy violations that prompt engineering alone cannot prevent. Major LLM providers ship built-in filters, but production systems often add custom filters for domain-specific concerns.