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About Bodyguard
Bodyguard.ai is a real-time content moderation solution that helps brands and platforms protect their reputation, secure their spaces, and maintain healthy communities. Moderation should not be a luxury reserved for digital giants. Every company, from media outlets to consumer brands, should be able to guarantee a safe and respectful digital environment. To address this challenge, Charles Cohen created Bodyguard, a multimodal moderation technology that combines artificial intelligence and human expertise. It stands out for its ability to understand context, block toxicity at the source, and provide actionable insights into audience behavior.
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How to run a content moderation API proof of concept that answers a buying decision
A content moderation API proof of concept should establish whether a proposed service can apply your platform's rules reliably under realistic conditions. That requires a shared policy, independently judged examples and an integration test that reaches the user-facing action. A demonstration containing obvious violations cannot answer the same question. The useful outcome is a documented decision about the surfaces the platform is ready to protect.
Image moderation API integration: keep private uploads private during analysis
An image moderation API integration needs controlled access to the exact asset being assessed. Sending an image for analysis should not require making the user's upload publicly accessible or retaining reusable links in general logs. Design the transfer path, object identity and publication state together so analysis can complete without weakening the platform's existing access boundaries.
Image moderation API confidence scores: choose thresholds from policy evidence
An image moderation API confidence score is an analysis output that must be interpreted through the provider's documented semantics. It is not automatically a calibrated probability that the image violates your platform's rules. Choosing thresholds requires labeled examples, category-specific evaluation and a defined action for uncertain cases. The useful result is a policy decision the platform can justify on its own content.
