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Protect Your Business from
Deepfake Attacks,
Detect right from the start

Our deepfake detection technology can detect AI-based face manipulation fraud that is difficult to detect manually.

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Trusted by companies all over the world

BCAMaybankBank JatimT-MoneyHiro GroupFlash CoffeeKemnakerBumameRumah Sakit PIKMitra KeluargaAgung SedayuBoboboxRukitaStaffincMIFXNanovestUpbanxDHLShipperBukalapakErhaMinisoSarinahBCA MultifinanceModal RakyatXfersAkar Inti DataAyoconnectDetikKominfoHacktiv8NoicePrivyAdinsFWD BCAMaybankBank JatimT-MoneyHiro GroupFlash CoffeeKemnakerBumameRumah Sakit PIKMitra KeluargaAgung SedayuBoboboxRukitaStaffincMIFXNanovestUpbanxDHLShipperBukalapakErhaMinisoSarinahBCA MultifinanceModal RakyatXfersAkar Inti DataAyoconnectDetikKominfoHacktiv8NoicePrivyAdinsFWD

Business Without Deepfake Detection.
Are You Ready to Face the
AI Threat?

AI is Getting More Advanced, Hard to Detect Manually
Deepfake based on AI is getting harder to identify without special technology, making businesses vulnerable.
AI is Getting More Advanced, Hard to Detect Manually
Legal Penalties from Non-Compliance with Regulations
Non-compliance with security standards can lead to fines and legal risks.
Legal Penalties from Non-Compliance with Regulations
Loss of Customer Trust
Poor data security practices can damage your reputation and drive customers away.
Loss of Customer Trust
Financial Losses from Smart Fraud
Without this protection, your business is at high risk of significant financial losses due to fraudulent transactions.
Financial Losses from Smart Fraud
Real Case Deepfake Section

Real Case Fraud Deepfake

How Face Swap Deepfake Works

Face swap with deepfake uses AI to analyze the face from various angles, then swaps it in a photo or video. This technology adjusts expressions and lighting to look natural, producing a realistic appearance automatically.
Learn More

Why Deepfake Detection is
The Right Choice?

Detect Deepfake
in Video or Image Format

Our advanced technology can detect AI-based face manipulation with high accuracy.

<span class="text-primary">Detect Deepfake</span><br />in Video or Image Format

Accurate Analysis
Reaching 95%

Our technology helps prevent deepfake from passing detection.

<span class="text-primary">Accurate Analysis</span><br />Reaching 95%

Compliance with Security Regulations

With deepfake detection, your business is compliant with security regulations and avoids legal penalties.

Compliance with <span class="text-primary">Security Regulations</span>
Trusted by <span class="text-primary">Hundreds</span><br />of Global Companies

Trusted by Hundreds
of Global Companies

Verihubs has helped many companies prevent identity fraud by providing a reliable and secure deepfake detection solution.

How Deepfake Detection Works

Users capture their face through a device camera or upload an image for verification.
Analyzes the authenticity of the face sent by the user with deepfake detection.
In seconds, the system provides the result “Verified” or “Not Verified”.
Face Image Capture

Deepfake Detection Applications
in Various Business Segments

Banking and Financial
Banking and Financial
Deepfake Detection ensures that the identities used in loan applications, account books, or important transactions are original, preventing identity fraud that can harm financial institutions.

Usage Scenarios

Customer Identification

Customer Identity Verification (e-KYC)

Using Deepfake Detection to verify customer photos and videos during account registration or opening an account, ensuring that the identities used are original and not manipulated.
Online Transactions

Online Transaction Security

Ensuring that digital transactions involving facial or customer identity verification are not manipulated using deepfake technology for fraud purposes.
Fake Loan Applications

Preventing Fake Loan Applications

Deepfake Detection will ensure that your loan applicant's identity is 100% original, preventing identity fraud and document manipulation that can harm your bank.

Frequently Asked Questions (FAQ)

Deepfake Verification is an AI technology that can detect fake faces, digital manipulation, and spoofing attack. This technology helps companies in identity fraud prevention so that the digital identity verification process is more secure.

The Verihubs system uses a combination of AI deepfake detection and machine learning to recognize signs of face manipulation. In addition, liveness detection is available to ensure that only real faces can pass verification. As a result, companies get a fast and accurate fraud detection process.

Yes. With anti-spoofing technology, Verihubs can detect fake verification attempts using static photos, recorded videos, up to 3D masks. This ensures that the deepfake verification system works optimally against various identity attack forms.

For the fintech and digital banking industries, deepfake fraud detection is very important to prevent fake accounts, illegal transactions, and money laundering. Verihubs technology ensures that only original users can register, login, or make transactions, drastically reducing the risk of fraud.

Yes, our system supports real-time deepfake detection. This means that user identities can be verified in seconds, so they don't disrupt customer experience while maintaining digital identity security.

Yes, Verihubs provides Deepfake Detection API and SDK that can be integrated directly into web or mobile applications (Android & iOS). This makes it easier for companies to add AI-based biometric verification layers to their digital products.

Verihubs deepfake detection technology has a high accuracy level because it is trained with updated biometric big data. With support for AI and machine learning, the system can distinguish between real faces and deepfake or spoofing with precision.

This solution is relevant for various sectors: fintech, digital banking, insurance, e-commerce, healthtech, up to public sectors. All industries that rely on digital onboarding and identity verification need extra protection against deepfake fraud.

With fraud detection based on AI, the system automatically rejects faces that are suspected of deepfake or spoofing before entering the KYC (Know Your Customer) process. This helps companies reduce the risk of identity theft and fake account registration from the start.

Yes, Verihubs deepfake detection technology can be used on various platforms, both web applications, Android, and iOS, so it is flexible for business B2B needs.

Yes, with AI liveness detection and deepfake verification, the system can instantly reject attempts to open fake accounts or fake accounts. This helps financial companies secure their digital ecosystem.

Yes, all biometric data and verification results are processed with data encryption and enterprise-grade security standards. This ensures digital identity protection and compliance with data privacy regulations.

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