TRU · Video Forensics

Verify every video. Expose every deepfake.

Atna AI's TRU. VU goes beyond basic video analysis. We expose frame-by-frame manipulation, audio-visual desync, and AI-generated video deepfakes with forensic-grade analysis — resolved inside one unified TrustOps Command Center.

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TrustOps · Video #V-8A1X Analyzing

interview_recording.mp4

forensic · liveness · audio-sync

90.0

Frame-by-frame forensics — no splice or morph found

Audio-visual sync — consistent temporal alignment

AI-generation — no spatial or temporal artifacts

Metadata & provenance — authentic origin

Authenticity spectrumAuto-decision

Authentic · Cleared · 3.2s

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The Challenge

A forensic intelligence layer for video fraud.

See every video signal in one centralized command center — a holistic verdict on each recording, not disconnected checks that sophisticated deepfakes slip past.

/01

Generative deepfakes

Generative video tools now produce hyper-realistic clips and real-time face swaps that look flawless to the eye.

/02

Manual review can't scale

Reviewers cannot catch micro-expressions, pixel inconsistencies, or audio desync in thousands of video hours.

/03

Fragmented tools

Teams stitch together separate audio, video, and liveness tools that miss cross-modal manipulation.

/04

No forensic trail

Without metadata context and temporal analysis, a flagged video carries no actionable evidence.

Our Approach

Advanced video forensics, orchestrated.

Real-time frame, audio, and metadata forensics remove the blind spots synthetic actors exploit. TRU. VU automates the path from upload to a definitive authenticity verdict.

Temporal forensics

Frame-by-frame analysis surfaces temporal inconsistencies and micro-level edits.

Audio-visual alignment

Checks the synchronization of voice and lip movements to expose dubbing.

Deepfake detection

Generative artifacts and face-swaps are flagged across the entire video timeline.

One trusted verdict

Every layer resolved into a single authenticity decision.

Catch frame-level tampering and splicing in seconds

Forensic pixel analysis reads compression, lighting and clone patterns across every frame the instant a video is uploaded — exposing timeline edits, pasted objects, and reprinted regions.

Timeline splicing, morphing and frame drops
Lighting and compression artifact analysis
Audio manipulation and voice-cloning detection

Frame integrity

Authentic · 96%

Desync signal

Edit detected

0.0%

No No No diffusion artifactCamera-captured Camera-captured Genuine Genuine

Expose AI-generated and deepfaked videos

Generative models leave statistical fingerprints across frames. TRU. VU detects temporal inconsistencies, diffusion artifacts, and AI-rendered movements that betray a video never captured by a real camera.

Temporal diffusion and GAN artifact detection
Audio-visual synchronization analysis
Adapts as new video generators emerge

Verification Flow

Seamless verification in five steps.

A frictionless sequence designed to clear genuine videos fast while exposing the fakes.

Capture

Upload video

The user submits a video recording or interview.

Forensics

Frame scan

Temporal and spatial analysis inspect every second.

Audio

Sync check

Voice, lip movement, and audio integrity are validated.

Synthetic

Deepfake check

Generative artifacts and face-swaps are detected.

Verdict

Authenticity

Authentic, suspicious or forged — with evidence.

Outcomes

Let the signals do the talking.

What teams see when forensic video intelligence replaces manual review and disconnected tools.

<4s

Per-video verdict

99%

Auto-decisioned

5k+

Hours processed daily

24/7

Forensic monitoring

Dynamic Engine

Authenticity-based decisioning.

A video is not simply real or fake — it is a spectrum of forensic signals. TRU. VU modulates verification friction against real-time integrity. Security as an enabler, never a bottleneck.

Authentic · fast track

Clear in seconds

Clean temporal and audio signals clear the video with no extra steps.

Suspicious · step up

Request a re-capture

Ambiguous signals trigger a proportional re-upload or secondary angle.

Forged · review or block

Flag tamper & AI-gen

Tampering, face-swaps or synthetic generation route to manual review or an instant block.

AuthenticSuspiciousForged

Verdict · AUTHENTIC · auto-clear

Frame integrity98%

Audio-sync score99%

Deepfake probability0.3%

Metadata provenanceAuthentic

Use Cases

Smarter video checks for trusted verification.

Atna unifies video forensics, compliance and AI-driven fraud defense into a single orchestration layer — so enterprises accept genuine videos and reject fakes with confidence.

/ 01

Video KYC & Onboarding

Verify live video interviews at sign-up, clearing legitimate users instantly and flagging deepfaked submissions.

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/ 02

Insurance Claims

Expose manipulated accident footage and fabricated supporting videos before payout.

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/ 03

Content Moderation

Scan user-generated video content at scale — catching harmful synthetic media and manipulated news.

Learn more

/ 04

Deepfake Neutralization

Deploy a regulated defense layer that stops AI-generated and face-swapped video at scale.

Learn more

Integrate

Ship it with one API.

Drop TRU. VU in via Web SDK, Mobile SDK or our REST API — or run flows in the no-code builder and tune authenticity rules on the fly without deploying code.

Web SDKiOSAndroidReactFlutterREST APINo-code builder

verify_video.ts

// Verify a video with TRU. VU
const result = await atna.tru.vu.verify({
file: "interview_recording.mp4",
checks: ["temporal", "audio-sync", "deepfake"],
policy: "authenticity-spectrum"
});

if (result.verdict === "authentic") {
accept(result.videoId);  // 3.2s
}

Why Atna

Choosing your ideal solution.

How a unified forensic command center compares to legacy video checks and standalone metadata tools.

Capability	Atna · TRU. VU	Legacy video checks
Temporal frame-by-frame forensics	Forensic-grade	Basic metadata
Audio-visual sync detection	Native	Not covered
AI-generated video / deepfake detection	Included	Manual
Authenticity-based decisioning	Dynamic	Pass / fail
No-code workflow builder	Yes	Engineering req'd
Single source of truth	Sovereign	Third-party handoffs