GBG Identity & Fraud Solutions is part of GBG, a global leader in identity verification and fraud prevention software. Their core offering includes real-time identity validation, biometric and document verification, and fraud risk management leveraging machine learning. The software targets businesses needing secure customer onboarding, compliance, and fraud mitigation, serving various sectors worldwide.
Fraud prevention software provider specializing in identity verification, risk management platforms, and compliance solutions for digital businesses.
The primary purpose is to enable businesses to accurately verify customer identities, detect fraud signals early, and comply with regulatory requirements, aimed at reducing financial crime and improving customer onboarding experiences.
Primarily suitable for regulated online gambling verticals including online casinos, sportsbooks, and other iGaming sectors requiring identity verification and anti-fraud measures.
Operates on a B2B model, providing identity verification and fraud detection software to businesses across industries, including online gaming operators, financial services, and telecommunications.
Unique for its extensive use of machine learning for fraud detection, global data coverage spanning 190+ countries, integration of biometric verification, comprehensive compliance tools, and a real-time risk scoring system.
GBG Plc
GBG was founded in 1989.
Registered in the United Kingdom.
Headquarters in the UK, with a regional presence spanning Europe, Americas, Asia-Pacific, and the Middle East.
Over 30 years in the identity verification and fraud prevention market space under the GBG brand.
The development team size is not publicly detailed; however, GBG as a group employs several hundred staff including experts in software development and data science.
Primarily English, with software localization support for multiple languages to cater to global markets.
Supports regional localization including compliance with local identity verification standards, language preferences, and regulatory requirements across over 50 countries for data verification.
To empower organizations globally to validate customer identity and prevent fraud, enabling safe, compliant, and seamless digital interactions.
GBG Plc is a publicly traded company on the London Stock Exchange.
GBG holds certifications relevant to data security and compliance; however, specific fraud software awards are less publicized. The company is known for GDPR and regulatory compliance certifications.
GBG participates in various professional associations related to identity verification, fraud prevention, and compliance but specific gambling-related memberships are not explicitly detailed.
Key milestones include expanding global data coverage, integrating advanced machine learning, launching the GBG Go platform, and forming partnerships like with Experian for enhanced fraud prevention.
GBG is already publicly listed with no recent announcements of new IPOs; investments focus on strategic partnerships and product innovation.
GBG offers partner programs for integrators and resellers, enabling collaborative fraud prevention solution delivery.
The software supports responsible gambling initiatives indirectly through robust identity verification to prevent underage and fraudulent gambling accounts.
As a software company, GBG adopts standard environmental practices aligned with corporate social responsibility but detailed environmental policies are not widely publicized.
Provides webinars, documentation, and customer training programs to facilitate efficient use of identity verification and fraud management tools.
Focus on enhancing AI and machine learning capabilities, expanding global data sources, improving real-time risk analytics, and scaling cloud-based platform deployment.
Plans include strengthening presence in APAC, Americas, and further penetration in regulated markets such as Australia, New Zealand, and Europe.
Dedicated research and development teams focused on AI, machine learning, identity data sourcing, and compliance tech innovation.
Incorporates AI/ML for fraud detection, biometric verification, cloud computing, real-time analytics, and API-driven modular architectures.
Collaborates with fintech and regtech startups via partnerships and integrations but limited public detail on dedicated startup accelerator programs.
GBG holds a significant market share in global identity verification and fraud prevention software, especially among financial services and regulated industries.
Competitors include Experian, Onfido, Jumio, LexisNexis Risk Solutions, and TransUnion in the identity verification and fraud prevention sector.
Deep global data coverage, sophisticated AI and machine learning models, broad identity verification methods, and strong compliance support.
Serves clients globally, with concentrated operations in the UK, Europe, Americas, Asia-Pacific, and emerging markets including Australia and New Zealand.
Regulated industries such as financial institutions, online casinos, fintechs, telecommunications, and utility companies requiring secure identity verification and fraud prevention.
No public indication of a white-label offering; GBG mainly provides branded identity and fraud prevention solutions.
Typically subscription-based or pay-per-feature pricing, often customized based on client needs and volume of transactions.
Focuses on strategic partnerships, industry-focused events, targeted digital campaigns, and extensive client support demonstrating compliance and risk mitigation benefits.
Utilizes direct sales and partner integrators/resellers globally for solution distribution.
Not applicable as GBG is not a game provider.
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No support as GBG is a fraud prevention solution provider, not a game developer.
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Interface offers customization for client-specific workflows and dashboards rather than gaming interface personalization.
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The platform supports identity verification and fraud prevention in crypto-related sectors but does not provide games.
No direct blockchain technology integration reported.
Cloud-native platform architecture supporting API integration, machine learning models, and real-time data processing.
Fully supports cloud deployment on scalable infrastructures.
No specific public details on containerization technologies like Docker or Kubernetes.
Utilizes modern databases suited for large-scale identity and fraud analytics but specifics are proprietary.
Employs microservices architecture principles for scalability and modular product development.
Provides extensive APIs to integrate identity verification, risk assessment, and fraud detection capabilities into client systems.
Supports RESTful APIs for seamless integration.
No publicly known support for GraphQL; REST APIs are primary.
Supports data exchange in JSON, XML, and other common formats for interoperability.
Real-time updates and alerts for fraud detection and identity verification status.
Standard web protocols including HTTPS, API gateways, and secure communications.
No specific public details on WebSocket support.
Optimized for efficient network usage; typical enterprise broadband recommended for deployment.
Employs data caching for performance optimization in identity and risk queries.
Utilizes CDN for delivery of web-based components and services for low latency.
Supports load balancing to ensure high availability and reliability.
Cloud deployments support automatic scaling to handle variable workloads.
Integrated monitoring for system health, fraud analytics, and operational performance.
Centralized logging infrastructure for audits, compliance, and troubleshooting.
Built-in analytics for risk, fraud trends, and compliance monitoring.
Supports A/B testing frameworks internally for rules and model optimization.
Provides sandbox environments for safe development, testing, and onboarding process simulation.
API versioning supported to maintain backward compatibility for clients.
Offers SDKs, API documentation, and administration portals for integration and management.
SDKs primarily available for popular programming languages like Java, .NET, Python, and JavaScript.
Automated testing incorporated for quality assurance in development cycles.
Utilizes CI/CD pipelines for continuous integration and deployment.
Supports blue-green deployment strategies for minimal downtime.
Rollback mechanisms implemented for safe update management.
Comprehensive performance monitoring tools integrated for uptime and response metrics.
Uses distributed tracing for tracking transactions and detecting performance bottlenecks.
Includes profiling tools for system and application optimization.
Limited information on hot-swapping; typical enterprise practice involves minimal downtime updates.
Cloud-based deployment minimizes hardware requirements; client systems require standard enterprise-grade infrastructure.
Supports multi-tenancy for SaaS deployments serving multiple clients securely.
Scalable to support thousands of concurrent users depending on deployment scale.
Supports horizontal scaling in cloud environments to meet demand.
Designed for low-latency real-time decision making in identity verification and fraud alerts.
Globally distributed cloud infrastructure for high availability across regions.
Robust disaster recovery systems with geographic redundancy to ensure business continuity.
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Supports zero-downtime updates through blue-green deployment and automated rollback.
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Offers web-based cross-platform access for desktop and mobile devices.
Interfaces are responsive and optimized for multiple screen sizes and devices.
Not supported; product requires online connectivity for real-time verification.
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Integrates with payment processors, CRM systems, and other identity data providers.
Integration with client CMS platforms is possible for onboarding workflows.
Supports integration with payment gateways to verify payer identity and prevent fraud.
Integrates with CRM systems to enhance customer data and risk management.
Limited direct integration; can be used alongside marketing tools to support customer onboarding.
Not specifically detailed.
Supports integration with business intelligence tools for advanced reporting and analytics.
Provides compliance reporting tools and integration for regulatory standards such as AML, KYC, and GDPR.
Supports multiple user registration methods including digital ID verification, document upload, and biometric checks.
Supports two-factor authentication as part of enhanced security protocols.
Comprehensive KYC system supporting global regulations, document verification, and real-time identity checks.
Offers automated document scanning and verification capabilities.
Includes age verification as part of identity verification services.
Supports geolocation verification to confirm user location against identity data.
Supports self-exclusion as part of compliance-driven identity verification processes in regulated sectors.
Can enforce deposit and betting limits by integrating identity verification with risk management tools.
Supports monitoring and enforcement as per compliance requirements through customer data controls.
Incorporates behavioral analytics to detect suspicious patterns and prevent fraud.
Provides real-time alerts for suspicious activities based on fraud risk scoring and pattern recognition.
Not applicable to fraud prevention software directly.
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Provides data tools that can support customer segmentation based on risk profiles for targeted compliance.
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Seamless integration available with major CRM platforms to enhance identity and risk data.
Indirect support through integration but not a direct product feature.
Integration capable; direct product does not primarily focus on SMS notifications.
Similar to SMS, notifications can be made through integrations; not core function.
Internal complaint and case management supported for compliance investigations.
Customer support available but no integrated live chat product feature.
Supports multi-level technical and customer support systems.
Product and support available in multiple languages per client regional needs.
Provides extensive documentation, FAQs, and knowledge resources for customers.
Video-based identity verification is available as part of biometric solution features.
Allows account blocking and flags based on fraud risk assessments.
Supports temporary account freezes as compliance or risk mitigation measures.
Does not directly manage passwords but can integrate with identity management platforms that do.
Fully GDPR compliant in data handling and privacy practices.
Supports data deletion rights as mandated by GDPR and other privacy laws.
Allows export of user identity and verification data for client reporting and compliance.
Integrates with multiple payment systems to bolster fraud prevention in financial transactions.
Supports verification processes that help validate banking transaction parties.
Supports identity verification for crypto-related transactions to reduce fraud risk.
Compatible with e-wallet integrations via API for identity verification.
Supports mobile payment identity verification workflows.
Supports checks related to prepaid card transactions through identity and fraud analytics.
Can verify user identity in real time for instant deposit fraud mitigation.
Compliance tools support monitoring of scheduled transactions for fraud detection.
Supports identity verification workflows to mitigate risks in withdrawal processes.
Can be integrated with automated withdrawal systems for risk evaluation.
Supports enforcement of configured deposit and withdrawal limits based on risk profiles.
Supports multi-currency identity verification context through global data sources.
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Supports identity verification across both fiat and cryptocurrency transactions simultaneously.
Limited direct DeFi integration; focuses on traditional regulated environments and crypto compliance.
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Provides layered AML screening integrated within identity and fraud management workflows.
Features automated transaction screening against fraud and compliance lists.
Integrates sanctions and PEPs lists for comprehensive risk screening.
Supports suspicious activity reporting to regulators and compliance bodies.
Not primarily focused on tax accounting.
Automated scheduling and delivery of compliance and operational reports.
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Not a core feature.
Can support reconciliation processes through data integrations.
Helps reduce chargebacks by detecting fraudulent transactions early.
Advanced fraud detection system tailored for payments and transaction security.
Can integrate with 3D Secure protocols as part of layered fraud prevention.
Includes credit risk indicators as part of identity intelligence.
Supports risk assessment in installment payment setups.
Supports identity and fraud checks for Buy Now Pay Later services through API integration.
Provides identity verification solutions tailored for corporate banking KYC.
Not typically applicable but can be integrated within broader fraud risk tools.
Holds standard security certificates and follows industry best practices in data security.
ISO 27001 compliance is supported.
PCI DSS compliance applies primarily to payment processors; GBG supports clients in related security.
Compliant with GDPR for data protection and privacy in fraud and identity services.
Adheres to regulatory certification requirements appropriate for gambling compliance markets.
Not directly applicable as GBG is not a gaming software provider.
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Regular internal and external security audits are conducted.
Periodic penetration testing to identify and mitigate vulnerabilities.
No public information on bug bounty programs.
Employs strong encryption for data at rest.
Uses TLS or equivalent protocols for encryption in transit.
Supports end-to-end encryption in sensitive data workflows.
Uses robust key management systems compliant with industry standards.
Supports hardware security modules (HSM) for key management where required.
Deploys intrusion detection systems as part of its security infrastructure.
Incorporates DDoS mitigation strategies and services.
Uses firewall and Web Application Firewall (WAF) for defense against attacks.
Rate limiting employed in APIs and services to prevent abuse.
Constant security monitoring with incident detection capabilities.
Supports integration with Security Information and Event Management (SIEM) systems.
Automatic alerting for security incidents and fraud detection.
Incident response policies and procedures in place to handle breaches or fraud cases.
Comprehensive backup and disaster recovery strategies implemented.
Data and services hosted with geographic redundancy for resilience.
Service level agreements include Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) guarantees.
Maintains business continuity plans aligned with industry best practices.
Role-based and strict access control systems to protect sensitive data.
Fully supports role-based access control for users and administrators.
Maintains detailed audit trails for all identity and fraud-related transactions.
Provides built-in analytics dashboards for fraud trends, customer verification metrics, and operational insights.
Supports real-time analytics for instant fraud detection and decision-making.
Offers operator and administrator dashboards for managing alerts, cases, and reports.
Enables generation of customizable reports to meet compliance and monitoring needs.
Automated scheduling and delivery of compliance and operational reports.
Supports scheduled reporting features built into the management platform.
Exports data in commonly used formats such as CSV, JSON, and XML.
Utilizes data mining techniques to identify fraud patterns and customer risk profiles.
Incorporates predictive analytics powered by machine learning to forecast and detect potential fraud.
Comprehensive machine learning analytics used for model training, anomaly detection, and risk scoring.
Uses behavioral analytics to detect suspicious player or customer activities indicative of fraud risk.
Supports cohort analysis for fraud risk segmentation and pattern recognition.
Not a core function but can integrate with business intelligence for lifetime value analytics.
Not a primary feature of the platform.
Supports revenue protection by minimizing fraud losses and improving onboarding efficiency.
Technical support provided via email, phone, and web portals.
Offers 24/7 support for critical clients and monitoring.
Multi-tiered support system for varying client needs and issue severities.
Supports remote diagnostics and troubleshooting for client deployments.
Limited onsite support, mainly for large enterprise implementations.
Utilizes a comprehensive ticketing system for issue tracking and resolution.
Service level agreements include uptime and support response time guarantees.
Priority support options available for large and strategic customers.
Provides dedicated account and support managers for key clients.
Offers migration assistance for clients transitioning from legacy or competitor systems.
