TRU.th · Deepfake Detection

Verify every media. Expose every deepfake.

Atna AI's TRU.th exposes AI-generated, face-swapped, and deepfaked images and videos with forensic-grade analysis. From GAN-generated profile images to diffusion-edited media, we catch what the human eye misses.

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TrustOps · Media #M-8K2D Analyzing

profile_picture.png

diffusion · face-swap · GAN-noise

90.0

Generative artifacts — GAN-noise checks cleared

Face-swap analysis — consistent facial geometry

Diffusion patterns — no latent space irregularities

EXIF metadata — authentic sensor profile

Authenticity spectrumAuto-decision

Authentic · Cleared · 1.9s

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The Challenge

A forensic intelligence layer for synthetic media.

See every deepfake and generation signal in one centralized command center — a holistic verdict on each media file, not four disconnected checks that advanced generative AI slips past.

/01

AI-generated deepfakes

Generative models produce faces, images, and videos that look completely realistic to reviewers.

/02

Invisible manipulation

Manual review cannot detect micro-pixel noise or GAN artifacts hidden in face structures.

/03

Sophisticated face-swaps

Fraudsters bypass live checks using sophisticated digital injections and pre-recorded media.

/04

Lack of explanation

Conventional filters flag files without explanation, giving fraud analysts no trace to investigate.

Our Approach

Advanced media forensics, orchestrated.

Real-time latent space and pixel forensics remove the blind spots deepfake creators exploit. TRU.th automates the path from upload to a definitive media verdict.

Latent space forensics

Deep neural networks expose generator-specific artifact patterns.

Face geometry checks

Vector consistency and landmarks checked to flag face-swaps.

GAN & diffusion filters

Expose synthetic texture models from Midjourney, Stable Diffusion, and GANs.

One media verdict

Image layers resolved into a clear synthetic-vs-live percentage.

Analyze facial and pixel anomalies instantly

Forensic pixel and landmark checking reads compression, camera profiles, and facial geometry the instant media is submitted — exposing face-swaps, digital injections, and image edits.

Face-swap and landmark placement anomalies
Blending edge and chromatic aberration checks
Camera sensor noise and EXIF profiles validation

Media integrity

Authentic · 96%

Deepfake signal

AI-Gen detected

0.0%

No GAN signaturesNo diffusion artifactsGenuine lens noiseReal human iris

Expose AI-generated media and fake identities

Generative models leave micro-textural signatures. TRU.th detects synthetic noise, diffusion boundaries, and face blending borders that betray AI-generated profiles and spoofed identity collaterals.

GAN fingerprint and diffusion noise analysis
Biometric landmark and vector consistency
Adapts natively as new generative models arise

Verification Flow

Seamless verification in five steps.

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

Ingest

Upload media

The user submits a profile image, selfie or video clip.

Landmarks

Biometric mapping

Landmark analysis inspects facial vector geometries.

Noise scan

Sensor check

Camera lens and EXIF sensor models are verified.

Forensics

Deepfake filters

Generative textures and latent space fingerprints detected.

Verdict

Media decision

Authentic or AI-generated — resolved with high confidence.

Outcomes

Let the signals do the talking.

What teams see when forensic media intelligence replaces manual review and disconnected filters.

<2s

Per-media verdict

99%

Auto-decisioned

3k+

Media formats

24/7

Forensic monitoring

Dynamic Engine

Authenticity-based decisioning.

An image or video is not simply real or fake — it is a spectrum of forensic media signals. TRU.th modulates verification friction against real-time integrity.

Authentic · fast track

Clear in seconds

Clean forensic and sensor signals clear the image with no extra steps.

Suspicious · step up

Request a re-capture

Ambiguous signals trigger a proportional live selfie check, not a full reset.

Forged · review or block

Flag deepfake & face-swap

Splicing, morphing or synthetic media generation route to manual review or an instant block.

AuthenticSuspiciousForged

Verdict · AUTHENTIC · auto-clear

Biometric alignment98%

Synthetic noise score0.2%

Sensor consistencyConsistent

EXIF authenticityValid

Use Cases

Smarter media checks for trusted onboarding.

Atna unifies media forensics, facial biometrics and AI-driven fraud defense into a single orchestration layer — so enterprises trust identity data with confidence.

/ 01

Sign-up selfie verification

Verify live selfies at onboarding, catching pre-recorded streams and digital image injections.

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/ 02

Synthetic profile detection

Identify GAN-generated avatars and deepfaked profile images on marketplaces and apps.

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/ 03

Face-swap impersonation

Detect advanced video swaps and facial morphing designed to compromise high-value user accounts.

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/ 04

AI fraud ring defense

Deploy a regulated media defense layer that stops botnets submitting generated profiles at scale.

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Integrate

Ship it with one API.

Drop TRU.th 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.ts

// Verify a selfie with TRU.th
const result = await atna.tru.th.verify({
file: "selfie_profile.jpg",
checks: ["deepfake", "face-swap", "provenance"],
policy: "authenticity-spectrum"
});

if (result.verdict === "authentic") {
accept(result.mediaId);  // 1.9s
}

Why Atna

Choosing your ideal solution.

How a unified forensic command center compares to legacy media checks and standalone facial analysis tools.

Capability	Atna · TRU.th	Legacy check tools
GAN-noise & diffusion forensics	Forensic-grade	Not covered
AI-generated / deepfake detection	Native	Basic rules
Biometric & landmark checks	Included	Manual review
Authenticity-based decisioning	Dynamic	Pass / fail
No-code workflow builder	Yes	Engineering req'd
Single source of truth	Sovereign	Third-party handoffs