Thank you, your replay is on the way!
You'll receive an email soon with all the information you need to view your webinar.
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.
Discover Bodyguard
Don't miss our newest content!
Subscribe to our newsletter to receive regular updates on our latest analyses, studies, and advice on content moderation, brand protection, and online safety. Discover how leading brands and platforms are using technology to create safer, more inclusive, and engaging environments. You'll find industry news, exclusive insights, events, and practical guides, all written by our experts. Follow us on social media, too!
Don't miss our latest blogs
Moderation policy versioning for APIs: release rule changes without losing control
Moderation policy versioning connects a user-facing decision to the rules that were effective when it was made. For an API integration, that means tracking more than a model response: the application also needs the relevant policy configuration and enforcement logic. Treating these changes as releases makes regressions easier to detect, decisions easier to explain and rollback more reliable.
Marketplace messaging moderation API: protect buyer-seller conversations beyond the listing
Marketplace messaging moderation addresses content exchanged between buyers and sellers after an offer is published. The risks and policy boundaries differ from listing review: users negotiate, share practical information and sometimes receive abuse or misleading requests in private. An API integration should support those conversation decisions while keeping content analysis distinct from transaction and account-fraud controls.
Multilingual moderation API testing before launching a new market
A multilingual moderation API should be evaluated on the languages, writing practices and conversations your platform actually receives. A list of supported languages does not establish equivalent decision quality in every market. Before launch, test the local policy interpretation, mixed-language traffic and available review coverage together. The result should support a decision about a defined market and product surface.
