Tell The Real Face From The Synthetic One, Then Remove It

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Deepfakes of your people and brand found on 340+ platforms and removed

Synthetic media is a growing threat to brand trust.

Deepfakes and AI-generated impersonations range from fake CEO investment videos to cloned voices used in financial fraud. They reach audiences quickly and look convincing.

Platforms need clear evidence before they act. Detecting the fake, documenting how it was made and spread, and reporting it properly are all part of getting it removed.

Every detected deepfake comes with the evidence needed to act on it.

340+platforms monitored

under 4 hoursaverage removal time

2.4M+scans per day

Detection built for synthetic media.

Four analysis layers feed a single authenticity verdict.

Detect

Models trained on large sets of synthetic samples identify deepfake video and cloned audio of executives, ambassadors and public figures.

Document

Each detected fake is forensically documented with hashes, provenance data and expert analysis.

Remove

Evidence packages are reported directly to platforms for rapid removal of fabricated endorsements and impersonations.

How detection works

Facial biometrics
GAN artifact detection across face boundaries, pupil behavior and skin texture inconsistencies.
Voice spectral analysis
Spectral decomposition exposes synthetic signatures from text-to-speech and voice conversion.
Temporal metadata
Frame-level inconsistencies in compression, encoding timestamps and edit trails point to generation models.
Distribution graph
Social graph traversal maps spread back to origin upload clusters and coordinated networks.
Combined verdict and report
A confidence score per layer is combined into an authenticity verdict and reported to platforms.

Threats and channels

What is included

Face detection AI

GAN artifact analysis and biometric verification to identify synthetic faces.

Voice clone detection

Spectral analysis identifies AI-generated voice clones and text-to-speech impersonations.

Content verification

Authenticity scoring for video, audio and images with forensic-grade analysis.

Platform reporting

Direct reporting to platforms with evidence packages for rapid removal.

Evidence collection

Timestamped forensic captures with hash verification for legal proceedings.

Legal support

Expert analysis and documentation ready for litigation and platform disputes.

Frequently asked questions

What deepfake scenarios do you protect against?

Fake CEO investment pitches, fake celebrity crypto giveaways, fabricated product endorsements and AI voice fraud using cloned executive voices.

How is a deepfake judged to be fake?

Four independent layers are analysed: facial biometrics, voice spectral analysis, temporal metadata and distribution graph. Each gives a confidence score, combined into a final verdict.

Can the evidence be used in legal proceedings?

Detected deepfakes are documented with timestamped captures, hashes, provenance data and expert analysis intended for platform reports and litigation.

Which platforms are scanned?

Synthetic media monitoring covers YouTube, TikTok, Instagram, X and Telegram for AI-generated content misusing your identity.