VIDEO MODERATION

VIDEO MODERATION

How Automated Video Moderation Protects Your Content

Image Moderation

Nudity Filter

Advanced AI technology that automatically identifies and removes explicit nudity from digital content—ensuring a safer, cleaner, and more respectful online environment

BullyingViolenceThreatAggressiveInsultIdentity Attack
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Experience AI Moderation in Action

Key Features and Filters in the solution

Mediafirewall’s AI Video Moderation analyzes every second of uploaded video—frame by frame and sound by sound—before it’s ever seen, stored, or shared. Designed for scale and precision, it stops unsafe content long before exposure, ensuring platform integrity without human delay. • Detects Visual Threats Across Full Video Duration—Not Just Thumbnails • Pinpoints Timeline-Based Violations Like Escalating Abuse or Hidden Cues • Enhances Accuracy by Merging Audio & Visual Cues for Sensitive Scenes • Works Seamlessly Across User Uploads Without Delays or Playback Impact

Video Moderation

Why Use Video Moderation?

Catch unsafe visuals early and keep your platform safe, clean, and user-friendly.

Moderation Speed
Moderation at Machine Speed
While human reviewers focus on seconds, MediaFirewall sees everything. Thousands... Read more
Streaming Uptime
Built for Streaming Uptime
Works with your CDN, player, and video infrastructure without introducing latenc... Read more
Customizable Policy Logic
Rules That Match the Risk
Enforce different moderation logic across user tiers, regions, or stream types w... Read more
Targeted Moderation
Targeted Action, Not Collateral Takedowns
Isolate and act on the exact moment of violation—mute, block, or trim frames wit... Read more

Video Moderation FAQ

Mediafirewall AI performs frame-by-frame and audio analysis on uploads and live streams, linking detections to clear policy rules and enforcing decisions before content is shown.

Because sexual content, graphic violence, hate speech, CSAM signals, and deepfakes spread instantly creating user harm, brand risk, and regulatory exposure.

At ingest and continuously during playback/lives (sub-200ms target), including scene cuts, screen shares, and sudden “flash” violations.

In thumbnails, captions/subtitles, lower-thirds, background props, on-screen text, and masked overlays (QRs, tiny URLs, unicode).

Viewers, creators, advertisers, and trust & safety teams safer experiences, fewer appeals, stronger brand integrity, and compliant distribution.

Only the media submitted for safety checks (video/audio/metadata). Mediafirewall AI supports privacy-preserving pipelines and policy-linked audit logs.

By combining facial/scene consistency checks, artifact and lip-sync cues, text-on-video analysis, and policy rules to flag AI-generated disinformation and manipulated media.

Anti-evasion models scan for misleading preview images, hidden text, unicode obfuscation, and embedded links blocking non-compliant uploads before publication.