22x ROI in 3 Months

About MediumBet

MediumBet is a mid-sized online casino operating under a Curacao licence with approximately 45,000 monthly active players. Their main markets are Central and Eastern Europe, with a focus on slots and live casino.

The Problem

MediumBet's risk team noticed unusual patterns in their welcome bonus program. Despite having device fingerprinting and IP checks in place, they were losing an estimated 10-15% of their promotional budget to bonus abuse.

The organized fraud groups were sophisticated:

• Using antidetect browsers to bypass device fingerprinting
• Rotating VPNs to appear from different locations
• Creating fake identities that passed basic KYC
• Adapting to new rules within days of implementation

Traditional detection methods were failing because they focused on devices and IPs, not on the people behind the accounts.

The Solution

MediumBet implemented FraudShield's behavioral biometrics SDK. The integration took less than a day:

1. Day 1: Added one line of JavaScript to their site
2. Weeks 1-2: FraudShield collected behavioral data (mouse movements, typing patterns, click rhythms) from all players
3. Week 3: The model identified its first fraud clusters — groups of accounts with suspiciously similar behavior

The key insight: while fraudsters can change their devices, VPNs, and even create new identities, they can't change how they move a mouse or how they type. These behavioral patterns are as unique as fingerprints.

Results

Within 3 months, FraudShield delivered:

Why It Worked

FraudShield succeeded where traditional methods failed because:

• Behavioral patterns can't be faked: Fraudsters can change devices, but they can't change how they interact with a website
• Real-time detection: Suspicious accounts were flagged before withdrawal requests, not after
• Cluster visualization: The risk team could see entire fraud networks, not just individual accounts
• No PII required: Privacy-compliant detection without collecting personal data