Glossary

KYC solutions that help detect synthetic identities and bot-driven player registrations in gaming

Gaming platforms face a difficult balance during onboarding: players expect fast, frictionless registration and immediate access to gameplay, yet operators must meet strict regulatory requirements while preventing fraud.

At the same time, fraud tactics in gaming have evolved. Synthetic identities, automated bot registrations, and multi-accounting schemes allow bad actors to exploit bonuses, manipulate promotions, and bypass regional restrictions. When these fraudulent registrations slip through onboarding controls, they can quickly lead to financial losses, compliance risks, and reputational damage.

Many operators rely on Know Your Customer (KYC) solutions to verify player identities and screen for suspicious behavior during registration. Common KYC solutions include GBG, with its GBG Trust consortium intelligence network and GBG Go end-to-end KYC platform, as well as providers like Shufti Pro, Sumsub, and Bureau (which is specifically built to block AI-driven agents from the registration flow).

Below is a look at how these solutions help gaming platforms detect synthetic identities and prevent automated account creation.

Comparison: GBG, Shufti Pro, Sumsub, and Bureau

Feature	GBG	Shufti Pro	Sumsub	Bureau
Global identity verification coverage	Identity verification across 195+ countries with support for 8,500+ ID document types, as well as robust identity datasets in 50+ countries	Identity verification across 240+ countries and jurisdictions	Global identity verification with document verification and identity checks across multiple regions	Main focus is on fraud and bot detection during onboarding
Identity and fraud detection approach	80+ identity, fraud, and risk modules. Combines document authentication, biometric verification, fraud risk scoring, and AML screening against 450 PEPs, sanctions, and adverse media watchlists	AI-powered document verification with facial recognition and biometric checks, plus AML screening against sanctions and PEP lists	Combines document verification, device intelligence, email and phone risk analysis, and behavioral monitoring	Behavioral biometrics, device fingerprinting, and network analysis to detect automated fraud and linked accounts
Synthetic identity and multi-account detection	GBG Trust network detects identity anomalies, high velocity registrations, and manipulated identity data	Detects forged identity documents and suspicious behavior through AI verification and risk scoring systems	Detects fraud rings and coordinated multi-account activity through device intelligence and fraud pattern analysis	Detects automated account creation through headless bot detection, emulator detection, and device fingerprinting
Bot and automated registration protection	Detects high velocity sign-ups and suspicious identity data patterns using cross-industry and sector intelligence and fraud scoring	Uses risk scoring and layered verification to flag suspicious registrations	Detects automated registrations using device and network signals, plus digital footprint analysis	Specialized bot detection that identifies headless bots, form injection bots, and mimic bots during signup

GBG: The all-in-one identity platform for growth

GBG’s GBG Go solution is a global identity platform that combines identity verification, fraud detection, and compliance tools into a single system. The platform includes 80+ global identity, fraud, and risk modules, allowing operators to onboard players internationally while maintaining regulatory compliance.

Key capabilities include:

Global identity verification: Access hundreds of trusted datasets and document templates to verify player identities worldwide.
Fraud and risk detection: Identify anomalies in identity data, suspicious submissions, and signs of synthetic identities before onboarding is completed with 96% identity fraud detection accuracy.
Biometric authentication: Use document verification and biometric checks to confirm identity ownership and user presence. GBG’s tech will process 50+ forensic ID authentication tests processed on an identity document in seconds, with 99% accuracy on photo tampering
Automated risk screening: Screen identities against 450+ sanctions lists, PEP databases, and adverse media sources in real time.

GBG processes over 65 billion transactions annually and is trusted by more than 20,000 global brands to support identity verification and fraud prevention.

Detecting synthetic identities, bonus abuse, and bot-driven registrations

Synthetic identities are created by combining real and fabricated data to produce a new identity that appears legitimate in traditional checks.

GBG helps detect these attempts by combining multiple verification signals:

Identity data matching against trusted global datasets
Document authentication using OCR and forensic analysis
Biometric verification through selfie and liveness checks
Fraud risk scoring based on behavioral patterns
Mobile, email and IP address risk intelligence

A key differentiator is GBG Trust, a cross-industry network across 28+ sectors, monitoring millions of transactions with powerful rules to deliver real-time fraud protection.

The network provides shared insights into suspicious identity patterns, including:

High-velocity registration attempts
Repeated use of manipulated identity data
Known patterns linked to fraud or bonus abuse

When a player attempts to register, GBG Trust generates a risk score between 1 and 100 based on patterns observed across the consortium. Operators can use this score to determine whether to approve the registration, request additional verification, or block the user entirely.

This shared intelligence helps gaming operators detect fraud earlier and prevent bad actors from creating multiple accounts across different platforms.

Adaptive onboarding journeys

Gaming operators often serve players in multiple jurisdictions, each with different regulatory requirements and identity verification standards.

GBG Go addresses this complexity through automated, adaptive onboarding workflows that adjust verification steps based on risk signals and local requirements. Instead of forcing every player through the same process, the platform can dynamically route users through different verification steps.

Examples of adaptive onboarding paths include:

Low-risk players: Fast-tracked through required identity checks
Medium-risk players: Routed through additional document verification
High-risk players: Escalated to enhanced due diligence or manual review

This dynamic approach allows gaming platforms to reduce friction for genuine players while applying stronger controls where risk signals appear.

Shufti Pro

Shufti Pro provides AI-driven identity verification and AML screening designed to support fast player onboarding while reducing fraud risk.

The platform focuses on balancing compliance requirements with user experience in high-growth gaming environments.

Key capabilities include:

AI-powered document verification to confirm identity and detect forged or tampered IDs
Facial recognition and biometric checks to ensure the player is the legitimate document holder
AML screening against sanctions lists, PEP databases, and adverse media
Risk scoring and monitoring to flag suspicious behavior during registration and beyond

Shufti Pro supports identity verification across 240+ countries and jurisdictions, allowing gaming platforms to onboard players globally.

The system can also apply a waterfall verification approach, where low-risk users pass through lightweight checks while higher-risk users trigger additional authentication steps.

Sumsub

Sumsub provides a unified identity verification and fraud prevention platform designed for digital services like iGaming.

The platform covers the full player lifecycle, from registration to ongoing monitoring, allowing operators to detect fraud across multiple stages of the user journey.

Key features include:

User verification and document authentication
Device intelligence and digital footprint analysis
Email, phone, and IP risk assessment
Fraud network detection to identify linked accounts

Sumsub analyzes identity, device, behavioral, and network signals together to detect patterns associated with fraud rings and automated account creation.

The platform also maintains a large database of known fraud patterns, analyzing thousands of fraud samples to improve detection models.

By identifying suspicious activity during registration (such as bot-driven sign-ups, disposable contact details, or coordinated multi-accounting), Sumsub helps gaming operators prevent fraudulent players from entering the platform.

Bureau

Bureau focuses specifically on detecting automated fraud and blocking bot-driven registrations.

In gaming environments, automated sign-up attacks can generate thousands of accounts in minutes. These accounts are often used to exploit promotional offers or coordinate fraudulent transactions.

Bureau’s unified risk decisioning platform analyzes behavioral, device, and network signals to distinguish between human users and automated agents.

Core capabilities include:

Bot detection to identify headless bots, form injection bots, and mimic bots
Device fingerprinting to detect repeated registrations from the same device or emulator
Behavioral biometrics to identify non-human interaction patterns
Network analysis to detect linked accounts and coordinated fraud activity

What to consider when choosing a KYC and fraud prevention solution in gaming

Not all identity verification platforms are designed for the unique risks gaming operators face. Synthetic identities, bot-driven registrations, and bonus abuse require solutions that combine identity verification with deeper fraud intelligence.

When evaluating KYC providers, operators should consider several key capabilities:

Multi-layered identity verification

A strong KYC solution should combine multiple verification signals rather than relying on a single data point. This often includes:

Government ID verification
Biometric authentication and liveness checks
Global data matching
Sanctions and AML screening

Layered verification helps identify inconsistencies that may indicate synthetic identities or manipulated identity data.

Behavioral intelligence

Traditional identity verification alone is often not enough to stop bot-driven account creation.

Platforms that analyze behavioral signals, IP address risk, and network patterns can detect suspicious activity such as:

Automated registration scripts
Multiple accounts linked to the same device
Coordinated fraud rings

These signals provide an additional layer of defense before fraudulent users enter the platform.

Adaptive risk-based onboarding

Gaming platforms must balance compliance and user experience. Requiring the same level of verification for every user can create unnecessary friction and increase player drop-off.

Modern KYC platforms support risk-based workflows that adjust verification requirements dynamically based on risk signals.

Global regulatory coverage

Gaming operators often serve players across multiple jurisdictions, each with different regulatory requirements.

Choosing a provider with global identity coverage, regional compliance expertise, and localized data sources helps ensure onboarding processes remain compliant as operators expand into new markets.

Integration flexibility and scalability

Finally, operators should evaluate how easily the platform integrates into existing systems.

Solutions that offer API-based integration, modular identity modules, and configurable workflows allow gaming platforms to easily adapt verification processes as fraud tactics evolve or regulatory requirements change.

Summary

Synthetic identities, bot-driven registrations, and coordinated fraud attacks have become major challenges for gaming platforms. As fraud tactics grow more sophisticated, relying on basic identity checks is no longer enough.

Modern KYC and fraud prevention platforms combine identity verification with behavioral analysis and AI-driven risk scoring to detect suspicious activity earlier in the onboarding process.

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