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Brand-safety failures rarely come from an obvious slur. They come from clean words that combine into something offensive, often through a pun in another language. This post presents a batch architecture on AWS, built on a multimodal foundation model core, that detects illegal, sexual, and offensive meaning in marketing content across English and Korean before it ships.