Protecting Truth in the Age of AI

Deepfakes Are StealingBillions of Dollars

Krites uses explainable AI to detect synthetic media. See exactly how and why content is flagged—no black boxes.

The Deepfake Crisis

$50.5B
Total Fraud Losses
Since 2020 (FBI)
1,740%
Fraud Surge
North America 2022-23
4.2M+
Fraud Reports
Filed with FBI IC3
$410M
H1 2025 Losses
Deepfake fraud alone

See Detection In Action

Explore sample results—this is what transparency looks like

DEEPFAKE

Audio Deepfake

94%
confidence

AI-generated voice clone detected with synthetic breathing patterns

Detection Signals (5)

high

Synthetic breathing pattern at 2.3s

The breathing sounds show artificial generation patterns. Real breathing has natural irregularities that are missing here.

high

Prosody deviation: +2.4σ

The speech rhythm and intonation deviate significantly from natural human speech—2.4 standard deviations outside normal range.

medium

Missing micro-variations

Natural human speech contains tiny variations in pitch and timing. This audio is too "perfect," suggesting AI generation.

high

Voice clone signature detected

The audio contains patterns consistent with neural voice cloning technology (e.g., VALL-E, Eleven Labs).

medium

Spectral discontinuity at 4.7s

The frequency spectrum shows an abrupt change at this point, indicating possible audio splicing or generation artifacts.

Multi-Signal Detection

We analyze media from three angles, cross-validating for maximum accuracy

Visual Analysis

Deep CNN Ensemble

Multi-scale convolutional analysis detecting manipulation artifacts invisible to the human eye.

  • Face boundary gradient analysis
  • GAN fingerprint spectral detection
  • Lighting vector consistency mapping
  • Temporal frame coherence scoring

Audio Analysis

Self-Supervised Speech Models

Transformer-based audio forensics trained on millions of hours of authentic and synthetic speech.

  • Prosody deviation measurement (σ)
  • Micro-variation frequency analysis
  • Synthetic breathing pattern detection
  • Voice clone signature matching

Lip-Sync Analysis

Audio-Visual Fusion Network

Cross-modal attention mechanisms correlating phoneme sequences with facial muscle movements.

  • Sub-frame sync offset detection (ms)
  • Viseme-phoneme alignment scoring
  • Temporal consistency analysis
  • Jaw kinematics validation
🇺🇸 Aligned with U.S. AI Policy

Supporting America's Fight Against Synthetic Media Threats

Krites aligns with the Trump Administration's AI priorities, including theTAKE IT DOWN Act signed in May 2025 to protect Americans from deepfake exploitation.

NIST deepfake evaluation guidelines
DOJ detection tool adoption guidance
Protection for youth from AI exploitation
Election integrity and national security
“It is a national security imperative for the United States to achieve and maintain unquestioned and unchallenged global technological dominance.”
🏛️

America's AI Action Plan

The White House, July 2025

Aligned with guidance from

FBINSACISA

FBI Warning: Deepfake Threats Are Escalating

The FBI warns that malicious actors are impersonating senior U.S. officials using AI-generated voice messages. Protect yourself with detection tools.

FBI IC3 Alert

Don't Be the Next Victim

Verify media authenticity before it costs you everything.

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