How brand safety tools are evolving into growth drivers
Anudit Vikram, Chief Product Officer, Channel Factory Brand safety technology has advanced well beyond its origins. What began as simple keyword blocklists has matured into a new generation of tools powered by AI. These systems now integrate natural language processing, computer vision, machine learning and large language models to understand content at a far deeper […]

Anudit Vikram, Chief Product Officer, Channel Factory
Brand safety technology has advanced well beyond its origins. What began as simple keyword blocklists has matured into a new generation of tools powered by AI. These systems now integrate natural language processing, computer vision, machine learning and large language models to understand content at a far deeper level. They can assess tone, sentiment, emotion, visual context and even audience response to construct a multidimensional view of the environments where ads might appear.
This sophistication matters. Brands today need more than blunt exclusion lists; they need platforms that can distinguish between risk and relevance, nuance and noise. Multimodal AI has enabled content classification to move from surface-level filtering to a more semantic understanding of media, which can offer an added ability to incorporate performance signals as a secondary layer of analysis.
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