The Growing Threat of Deepfakes in Identity Verification
As AI technology advances, so do the tools available to fraudsters. Deepfakes—synthetic media generated by artificial intelligence—have emerged as one of the most sophisticated threats to Know Your Customer (KYC) processes.
Understanding the Threat
What Are Deepfakes?
Deepfakes use machine learning algorithms to create convincing fake images and videos. In the context of identity verification, attackers can:
- Generate synthetic faces that don’t belong to real people
- Manipulate existing photos to create fraudulent documents
- Create fake video streams that appear to show a real person
The Scale of the Problem
Recent studies show that deepfake fraud attempts have increased by 300% in the past year. Traditional verification methods that rely on static image comparison are increasingly vulnerable.
Multi-Layered Defence Strategies
1. Liveness Detection
Modern liveness detection goes beyond simple challenges like blinking or smiling:
- Passive liveness: Analyses micro-movements and texture without user interaction
- Active liveness: Requires specific actions that are difficult for AI to replicate
- 3D depth analysis: Uses device sensors to verify physical presence
2. Document Authentication
Beyond facial matching, robust systems verify document authenticity:
- Hologram and watermark detection
- Font and formatting consistency
- Cross-reference with official databases
3. Behavioural Analysis
Analysing user behaviour patterns adds another layer of security:
- Device fingerprinting
- Interaction patterns during verification
- Velocity checks for suspicious activity
ISO 30107-3 Compliance
Our liveness detection is certified under ISO 30107-3, the international standard for biometric presentation attack detection. This ensures our system has been rigorously tested against:
- Printed photos
- Screen replays
- 3D masks
- Deepfake videos
Staying Ahead of Fraudsters
The arms race between security systems and fraudsters continues. At Idesify, we continuously update our models to detect the latest attack vectors, including emerging AI-generated content.
Learn more about our liveness detection capabilities or request a demo.