How iGaming Operators Can Stop Multi-Accounting Before It Starts

In the high-stakes world of iGaming, fraud schemes like multi-accounting and bonus abuse are a persistent drain on operator budgets. Fraudsters create multiple accounts to exploit promotions, manipulate bets, or launder money, costing the industry billions annually. For iGaming operators, stopping these threats before they take root is critical to maintaining profitability and compliance. This is where iGaming fraud prevention powered by advanced technology comes in.

In this post, we’ll explore how multi-accounting undermines iGaming platforms, the financial and regulatory risks it poses, and how Ambriel’s AI-driven solutions—leveraging player behavior modeling, device fingerprinting, and real-time risk scoring—help operators stay ahead of gaming fraud detection. Whether you’re battling bonus exploitation or ensuring AML (Anti-Money Laundering) compliance, Ambriel’s tools offer a proactive defense.

The Cost of Multi-Accounting in iGaming

Multi-accounting occurs when a single user creates multiple profiles to exploit bonuses, manipulate game outcomes, or bypass restrictions. This form of gaming fraud detection is closely tied to bonus abuse, where fraudsters claim welcome bonuses, free spins, or referral rewards repeatedly. The financial impact is staggering: fraud in iGaming contributes to global online gambling losses estimated at $10 billion annually, with bonus abuse being a top concern.

Beyond direct losses, multi-accounting erodes player trust and triggers regulatory scrutiny under AML obligations. For example, fraudsters may use fake referrals to inflate rewards or engage in collusion to rig bets, skewing game fairness. These schemes not only hurt revenue but also risk hefty fines for non-compliance with regulations like KYC (Know Your Customer) and AML frameworks.

How Ambriel’s AI-Driven Tools Stop Multi-Accounting

Ambriel’s iGaming fraud prevention platform is designed to detect and prevent multi-accounting from the moment a user signs up. By combining advanced technologies like player behavior modeling, device fingerprinting, and real-time risk scoring, Ambriel empowers operators to tackle fraud proactively. Here’s how it works:

1. Player Behavior Modeling

Player behavior modeling uses AI to analyze user actions—such as betting patterns, session durations, and navigation habits—to create a unique behavioral profile. Deviations, like a user suddenly placing high-stakes bets across multiple accounts, trigger alerts. This approach catches bonus abuse early by identifying inconsistent behaviors that signal fraud.

For instance, if a user’s betting velocity spikes abnormally or their playstyle shifts across accounts, Ambriel’s system flags it for review. This reduces false positives, ensuring legitimate players enjoy seamless experiences.

2. Device Fingerprinting

Device fingerprinting is a cornerstone of multi-account detection. By analyzing device attributes—such as browser settings, IP addresses, and hardware IDs—Ambriel identifies when multiple accounts originate from the same device or network. This is critical for catching fraudsters who use VPNs or emulators to mask their activities.

In 2024, account takeover attacks, often linked to multi-accounting, surged by 131% in gaming platforms. Ambriel’s device fingerprinting thwarts these attempts by linking accounts to unique device signatures, preventing repeat offenders from exploiting promotions.

3. Real-Time Risk Scoring

Real-time risk scoring assigns a dynamic risk level to every user action, from onboarding to gameplay. Powered by machine learning, this system evaluates factors like transaction frequency, geolocation mismatches, and referral patterns. High-risk actions, such as rapid bonus claims across accounts, are flagged or blocked instantly.

This approach is particularly effective for AML compliance, as it helps operators detect suspicious transactions that may indicate money laundering, ensuring adherence to regulatory standards.

Addressing Key Pain Points

Ambriel’s solutions tackle the most pressing challenges in iGaming fraud prevention:

• Bonus Exploitation: By monitoring for multi-accounting and rapid bonus claims, Ambriel prevents fraudsters from draining promotional budgets. Operators report up to 40% reductions in bonus abuse losses after implementing our tools.
• Fake Referrals: Fraudulent referral schemes inflate acquisition costs. Ambriel’s cross-channel analysis detects linked accounts, ensuring only genuine referrals are rewarded.
• AML Obligations: With regulators cracking down, Ambriel’s risk scoring and behavior modeling help operators meet KYC and AML requirements, avoiding fines that can exceed millions.

Why iGaming Operators Need Proactive Fraud Prevention

Reactive fraud detection is no match for today’s sophisticated schemes. Multi-accounting and bonus abuse evolve rapidly, with fraudsters leveraging automation and stolen identities to stay ahead. In 2024, e-commerce and gaming fraud losses reached $44.3 billion globally, with iGaming platforms bearing a significant share. By 2029, these losses are projected to hit $107 billion, underscoring the urgency for robust gaming fraud detection.

Ambriel’s AI-driven platform shifts the paradigm from reaction to prevention. By stopping fraud at onboarding—through device fingerprinting and behavior analysis—operators can protect revenue, enhance player trust, and stay compliant.

Take Control of iGaming Fraud Today

Multi-accounting and bonus abuse don’t have to undermine your iGaming platform. With Ambriel’s advanced iGaming fraud prevention tools, you can detect and stop fraud before it starts. From player behavior modeling to real-time risk scoring, our solutions empower operators to secure their ecosystems and focus on growth.

Ready to safeguard your platform? Contact Ambriel for a demo of our gaming fraud detection suite and see how we can help you eliminate multi-accounting and bonus abuse.

This post is part of our Marketing series on innovative fraud prevention strategies for iGaming. Stay tuned for more insights!