AIForensiX Platform
MEDIA

An all-in-one platform
to detect fake digital content

The most comprehensive deepfake detection platform - analyzing images, videos, audio, and text with forensic-grade evidence and blockchain integrated chain-of-custody

The Threat in the AI Era

Content Propaganda

AI-generated images and videos can spread false stories and influence public opinion at scale.

Fake Profiles

Scammers use AI-made photos and videos to create fake social media profiles and trick people.

Real-Time Video Manipulation

Live videos can be altered in real time to impersonate people during calls or broadcasts.

Voice Cloning Scams

AI can copy someone’s voice to make fake calls and demand money or sensitive information.

Fake News Articles

AI-written text can produce believable but false news that spreads misinformation quickly.

Identity Impersonation

Deepfakes can be used to pose as real individuals, damaging reputations and trust.

Financial Fraud

Fake audio, video, or messages are used to authorize payments and commit financial scams.

Legal Evidence Tampering

Manipulated media makes it harder for courts to trust digital evidence.

Social Engineering Attacks

AI-generated content helps attackers manipulate people into sharing private data.

Brand & Reputation Damage

Fake videos or statements can harm brands, leaders, and public figures within minutes.

Recruitment & Job Scams

AI-generated profiles and interviews are used to run fake hiring and employment scams.

Misinformation at Scale

AI allows fake content to be produced faster than humans can verify it.

Content Propaganda

AI-generated images and videos can spread false stories and influence public opinion at scale.

Fake Profiles

Scammers use AI-made photos and videos to create fake social media profiles and trick people.

Real-Time Video Manipulation

Live videos can be altered in real time to impersonate people during calls or broadcasts.

Voice Cloning Scams

AI can copy someone’s voice to make fake calls and demand money or sensitive information.

Fake News Articles

AI-written text can produce believable but false news that spreads misinformation quickly.

Identity Impersonation

Deepfakes can be used to pose as real individuals, damaging reputations and trust.

Financial Fraud

Fake audio, video, or messages are used to authorize payments and commit financial scams.

Legal Evidence Tampering

Manipulated media makes it harder for courts to trust digital evidence.

Social Engineering Attacks

AI-generated content helps attackers manipulate people into sharing private data.

Brand & Reputation Damage

Fake videos or statements can harm brands, leaders, and public figures within minutes.

Recruitment & Job Scams

AI-generated profiles and interviews are used to run fake hiring and employment scams.

Misinformation at Scale

AI allows fake content to be produced faster than humans can verify it.

Why Existing Solutions Fail

Single-modality only (video OR image, not both)
Binary fake/real with no evidence or explanation
No blockchain integrated chain-of-custody for legal proceedings
Cannot detect latest generative AI (GPT-4, DALL-E 3, etc.)
No cross-platform verification APIs
Lack forensic-grade reporting for courts

Multi-Modal Deepfake Detection

Unified AI engines analyzing every content type with forensic precision

Image Analysis

Pixel-level manipulation detection with visual evidence

Detection Techniques

Error Level Analysis (ELA)
Compression artifact detection
Clone/splice boundary identification
GAN fingerprint recognition
Metadata inconsistency analysis
Provides heatmaps

Forensic Evidence

Visual Evidence
  • Heat maps highlighting manipulation
  • Pixel-level anomaly markers
  • Side-by-side comparisons
  • Frame-by-frame breakdowns
Statistical Analysis
  • Confidence intervals per finding
  • Distribution anomaly graphs
  • Compression consistency charts
  • Metadata timeline validation
Chain of Custody
  • Blockchain timestamp anchoring
  • Cryptographic hash verification
  • Access log immutability
  • Court-admissible certification

Real-World Impact

Protecting truth across elections, law enforcement, media, and enterprise

Financial Fraud Prevention

Securing the vault against digital thieves.

The $25 Million "Ghost" Call

The Summary

A finance worker in Hong Kong transferred $25 million to fraudsters after hopping on a video conference call. He thought he was speaking to his CFO and several coworkers. In reality, he was the only human on the call; everyone else was a deepfake video puppet controlled by scammers.

Source:

CNN: Finance worker pays out $25 million after video call

Haranzel Fix:

Haranzel integrates directly into video platforms (like Zoom or Teams) via a browser extension. It scans the video and audio feed for unnatural AI traces and flags the call participant as a 'Synthetic Risk' instantly in real time before any fraud can happen.

The "OnlyFake" ID Factory

The Summary

An underground website called "OnlyFake" claimed to generate hyper-realistic photos of driver's licenses and passports on kitchen tables for just $15. These AI-generated ID cards successfully fooled the KYC (Know Your Customer) checks of several major crypto exchanges and banks.

Source:

404 Media: Inside the Underground Site Generating AI Fake IDs

Haranzel Fix:

We don't just check if an image looks real; we check where it came from. Every AI generator leaves an invisible digital signature or 'fingerprint.' Our system reads the file to determine if the ID photo originated from a real camera sensor or if it was created by specific image-generation software.

The Manager’s Voice Heist

The Summary

A bank manager in the UAE received a call from a company director he had known for years. The director asked for a transfer of $35 million for an acquisition. The voice, tone, and accent were perfect. It turned out to be a voice clone created by criminals who had analyzed the director's public interviews.

Source:

Forbes: Clone Voice Used To Steal $35 Million

Haranzel Fix:

Human vocal cords produce sound in a very specific, imperfect way. AI voices are mathematically 'too perfect.' Our audio engine analyzes the call to detect the microscopic robotic buzz and unnatural gaps in frequency that the human ear misses, confirming if the voice is biological or generated.

Developer-Friendly API

Simple REST API, comprehensive SDKs, detailed documentation

API Features

Batch Processing

Analyze 1000s of images/videos per job

Real-Time Streaming

Live video feed authentication

Webhook Notifications

Instant alerts for results

Forensic Exports

Generate court-admissible reports

Quick Start

Trust Evidence, Not Claims

AIForensiX MEDIA transforms deepfake detection from guesswork to forensic science with cryptographic proof and court-admissible evidence.

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