Introducing VIDA Identity Stack: All of VIDA, in one place 🎉
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FAQ

Product FAQs

1. What is VIDA Fraud Detection?

VIDA Fraud Detection is an AI-powered fraud prevention system that detects deepfake attacks, identity spoofing, and manipulated images during the authentication process.

2. How does VIDA detect deepfake attempts?

VIDA leverages advanced AI and ML algorithms for passive liveness detection to analyze whether a person is physically present or using a spoofed artifact.

3. What are Active and Passive Liveness Detection?

VIDA supports both:

  • Passive Liveness Detection – Runs in the background, analyzing selfies using AI/ML techniques without requiring user interaction. The system generates a selfie score (0 to 1) to determine authenticity.

  • Active Liveness Detection – Requires users to perform simple actions (blinking, smiling, or head movement) to verify their presence and prevent fraud.

4. How does VIDA’s Deepfake Defender API enhance fraud detection?

VIDA’s Deepfake Defender API analyzes a selfie’s liveness in real-time and assigns a liveness score. The selfie score ranges from 0 to 1, where:

  • 0 (zero) represents maximum liveness, indicating a highly confident live selfie.

  • 1 represents minimum liveness, suggesting a potential spoof attempt.

The success or failure of the liveness check depends on the liveness threshold score. The default threshold is 0.95, meaning any score below 0.95 is considered a successful liveness check, while scores above 0.95 may indicate a failed check due to possible spoofing or deepfake attempts.

5. What is the VIDA Deepfake Shield SDK?

VIDA’s Deepfake Shield SDK is an AI-powered real-time face authentication and fraud prevention solution. It protects against:

  • Printed photos and screen attacks

  • 2D masks and digital injection attacks

  • Manipulated or spoofed images

6. What additional fraud prevention mechanisms does VIDA use?

  • Image Manipulation Detection – Identifies edited or tampered images.

  • Device-Based Security – Ensures authentication happens only from trusted devices.

  • AI-powered anti-spoofing checks – Detects screen attacks, paper attacks, and deepfake attempts.

7. How does VIDA ensure secure data handling?

VIDA performs:

  • Demographic Information Validation – Matches user details (ID number, name, DOB) with official records.

  • Income Assessment – Evaluates income data to assess financial credibility.

  • Regulatory Compliance – Ensures adherence to security and privacy regulations.

8. How does VIDA prevent fraud in high-risk industries?

VIDA’s fraud detection solutions are ideal for:

  • Banking & Finance – Prevents identity fraud in KYC processes.

  • E-commerce – Blocks fake accounts and fraudulent transactions.

  • Telecommunications – Detects SIM swap fraud and fake activations.

  • Government & Digital Identity – Secures online identity verification

Integration FAQs

1. How can VIDA’s Deepfake Defender API be integrated?

VIDA provides a RESTful API that allows businesses to:

  • Send user selfie images for liveness verification.

  • Receive a liveness score and transaction ID in response.

2. What platforms support the VIDA Deepfake Shield SDK?

The SDK is available for:

  • Android and iOS applications

  • Web platforms

3. How do developers integrate the Deepfake Shield SDK?

Developers can:

  • Add just a few lines of code to enable deepfake detection.

  • Customize UI elements and detection parameters (e.g., blinking, smiling, or head movement).

4. What languages does the VIDA SDK support?

VIDA SDK supports English and Indonesian for broader adoption.

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