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AI content moderation agents monitor live video and audio streams in real time, detecting policy violations such as hate speech, explicit nudity, graphic violence, and dangerous activities—enabling platforms to enforce community guidelines without human moderators watching every second of every stream.
Live streams generate thousands of hours of unreviewed content daily. Human moderators cannot watch every stream simultaneously, and policy violations during live broadcasts—hate speech, nudity, self-harm—can go undetected for minutes or hours, causing brand damage, regulatory fines, and real harm to viewers before anyone intervenes.
The AI agent processes video frames and audio transcription in parallel, running multi-modal classifiers that detect nudity, violence, hate speech, and other policy violations within 2–5 seconds. When a violation is detected, it can auto-mute audio, blur the video feed, issue an on-screen warning, or terminate the stream entirely based on severity—while logging the incident for human review.
Connect to your streaming platform (via RTMP ingest, WebRTC, or HLS) so the agent receives video and audio frames in real time. Configure which streams to monitor—all streams, flagged creators, or streams above a viewer threshold.
Define violation categories (nudity, hate speech, violence, self-harm, regulated substances), severity levels, and automated actions for each (warn, mute, blur, terminate). Set confidence thresholds to balance false positives against missed violations.
Launch the agent on live streams. Review flagged incidents in a moderation dashboard, adjust confidence thresholds based on false-positive rates, and train the model on edge cases specific to your platform's content norms.
Hive Moderation, Amazon Rekognition, Azure Content Safety. See the full list on the AI Content Moderation Agent pillar page.