DEEPFAKE DETECTION
DEEPFAKE DETECTION
Stop Deepfakes, Impersonation & Synthetic Porn on Dating Apps with Real-Time AI
Mediafirewall AI’s Deepfake Detection Filter flags face swaps, lip-sync forgeries, and identity spoofing across uploads and lives.We block fake speeches, synthetic endorsements, pornographic deepfakes, and scam testimonials before visibility.Face/motion cues, phoneme-viseme checks, and metadata mismatches power policy-aware outcomes. Protect users, brand trust, and compliance with audit-ready real-time moderation.
Supported Moderation
Every image, video, or text is checked instantly no risks slip through.
What Is the Deepfake Detection Filter?
Face & Motion Analysis
Detects unnatural blinks, facial warps, head-pose and motion inconsistencies that reveal face-swap edits. Stops profile photo hija... Read more
Lip Sync Validation
Flags out-of-sync speech or AI-generated voice overlays.
Identity Mismatch Triggers
Intercepts impersonation attempts by analyzing metadata and biometric inconsistencies.
Multi-Format Compatibility
Supports moderation across video uploads, livestreams, and profile images.
Synthetic Media Intelligence
Trained to spot GANs, deepfake tools, and emerging AI manipulation tactics.
How our Moderation Works
Each asset image, video, or live stream is evaluated on ingestion. Violations trigger automated actions based on the platform’s policy whether to block, log, or send for optional review. The engine operates natively within your infrastructure, requiring no additional review layer or delay.
Why use Mediafirewall's Deepfake Detection Filter?
For platforms that host visual content, deepfakes aren’t just a nuisance; they’re a liability. Here’s how Mediafirewall helps enterprises uphold authenticity:
Prevent Content Manipulation
Stop users from uploading profile images that appear online, Google search, Pint... Read more
Reduce Risk & Escalations
By ensuring originality at the point of upload, the filter protects reputation a... Read more
Streamline Compliance
Ensure moderation policies meet FTC, GDPR, and COPPA requirements without adding... Read more
Enterprise Deployment Ready
Integrates via API or SDK, configures platform-specific rules, and performs at h... Read more
Deepfake Detection Filter FAQ
Mediafirewall AI combines face/motion analysis, lip-sync alignment, and metadata checks to flag impersonation, face swaps, and synthetic clips before they appear in profiles or feeds.
Deepfakes create fake identities, synthetic endorsements, and NCII undermining authenticity, consent, and platform safety.
At upload and on edits (thumbnails/captions), plus continuous checks in livestreams for mid-stream ambushes or flashbait.
In thumbnails, intro/outro cards, short reels, and profile photos including compressed or stylized variants meant to evade detection.
Users gain authentic matches; platforms gain brand safety, fewer appeals, and compliance-ready evidence for regulators.
They are blocked pre-visibility, prioritized for minors’ safety, and logged with evidence snapshots to support takedowns and appeals.
Yes lip-audio correlation exposes dubbed voices and synthetic narration over genuine footage, stopping fake testimonials or announcements.
We return policy-aware, boolean outcomes with timestamps and references in audit-ready logs, aligning with global online-safety and privacy standards.