Blog
The Casino Doesn’t Always Win
There’s a popular belief that casinos always win. However, when it comes to online casinos, that’s not always the case.
In 2015, a major scandal rocked the PokerStars platform when a resourceful Danish player, Daniel Christiansen, exploited the system with over 200 fake accounts created using different IDs to claim welcome bonuses.
Christiansen cleverly operated all of these accounts simultaneously, using specialized programs and scripts to participate in poker games against his own accounts. By manipulating the outcomes, he transferred bonuses between accounts, effectively losing to himself.
However, his plan unraveled before he could withdraw any money. The PokerStars security team detected the suspicious activity, conducted a thorough investigation, and canceled all of Christiansen’s winnings. Ultimately, Christiansen was banned from participating in gaming platforms and faced legal prosecution.
The Challenge of Online Casino Fraud
With the rise of online gambling, scams targeting insufficient user identification have multiplied. Fraudsters often resort to tactics like bonus hunting, multi-accounting, and other forms of cheating. While nearly a decade has passed since Christiansen’s scheme, many scammers continue to rely on similar techniques.
A Modern Solution: Biometric KYC Verification
Today, the most effective way to combat fraudulent activities in online casinos is biometric KYC (Know Your Customer) verification. This technology authenticates a user’s identity and prevents fraud associated with stolen or forged identification data.
Recognizing the unique challenges of the gaming industry, Biometric.Vision has implemented biometric KYC verification at key points, such as withdrawals and during gameplay. This solution eliminates fraud tied to multi-accounting, forks, drops, and ghosting, providing robust protection for online casinos.
How Biometric.Vision’s KYC Verification Works
Biometric.Vision’s KYC verification system employs three core technologies to ensure secure and accurate user identification:
- Liveness Detection: This step verifies that a live person is in front of the camera by requiring the user to take a selfie. It effectively prevents attempts using photos, videos, or masks.
- Document Recognition: Users are prompted to scan both sides of their identification documents using a smartphone camera. The system extracts text, numeric, and graphical data, storing it in a secure database for verification.
- Face-to-Face Detection: Finally, the user’s selfie is compared with the photo from their scanned documents, ensuring a perfect match.
This process is fast, fair, and user-friendly, in line with all Biometric.Vision technologies.
Stay Ahead of Fraud
As scammers continue to evolve their methods, businesses must stay one step ahead. Follow our updates to learn more about how artificial intelligence and facial recognition technologies are transforming business processes, preventing fraud, and safeguarding the digital environment.