Question

A media company uses an Azure OpenAI image-generation deployment (gpt-image) to let marketing staff create promotional artwork from free-text prompts. Compliance requires that the pipeline automatically block any generated image containing sexual, violent, or hateful visual content before it is delivered to the end user, without the developer writing custom classifier code. Which approach best meets this requirement?

Accepted Answer

Rely on the built-in Azure OpenAI content filters, which evaluate the input prompt and the generated image and return a contentFilter error instead of an image when a category exceeds the configured severity threshold.

Answer

Send each generated image to Azure AI Vision Image Analysis and inspect the returned tags for words like 'violence' or 'nudity' to decide whether to block it.

Answer

Add a Prompt Shield policy to the deployment so that unsafe visual output is filtered by the jailbreak-detection model.

Answer

Enable Azure AI Content Understanding on the deployment to extract visual characteristics and reject any image whose caption references restricted concepts.