How Soft2Bet and SEON Transformed iGaming Security Through AI-Powered Fraud Detection
The collaboration between Soft2Bet and SEON showcases the tangible impact of artificial intelligence on fraud prevention in the iGaming industry. By implementing SEON’s AI-driven fraud detection system, Soft2Bet achieved measurable improvements in operational performance: manual query volumes dropped by 40%, while review speeds increased by 20%. This partnership reveals key insights into why robust fraud prevention matters for iGaming operators and provides actionable strategies that security teams can adopt right away.
Company Overview and Core Security Objectives
Soft2Bet operates as a prominent iGaming turnkey solutions provider and multi-brand operator. The company’s flagship product, MEGA (Motivational Engineering Gaming Application), serves as an integration-ready gamification suite designed to boost player engagement and maximize lifetime value. Soft2Bet’s operational philosophy centers on balancing regulatory compliance with seamless customer experience, embedding security and risk management protocols throughout the entire player journey — from registration through payment processing — to safeguard users, transactions, and brand integrity.
The Growing Complexity Challenge
Operating in rapidly expanding markets presents specific challenges:
- Sign-up volumes and transaction frequencies surge continuously
- Regulatory requirements evolve with frequent updates
- Maintaining detection accuracy while processing at scale becomes increasingly difficult
Soft2Bet needed to strengthen fraud detection signals during the registration phase, establish transparent escalation workflows for risk analysts, and accelerate approval processes for legitimate players. The company’s perspective positioned fraud prevention as an enabler of sustainable growth rather than an operational bottleneck.
Strategic Requirements
The risk management team received three clear directives:
- Protect conversion rates while demonstrably fulfilling licensing requirements
- Reduce fraud exposure by identifying threats earlier in the customer journey
- Optimize analyst workload by reserving manual reviews exclusively for genuinely ambiguous cases
This approach aimed to streamline the experience for low-risk players while directing human expertise toward situations where expert assessment adds genuine value, ultimately enhancing both security and user satisfaction.
Selection Criteria: What Made SEON the Right Fit
Soft2Bet selected SEON because it combines machine-learning risk scores with customizable rule systems through a single API integration. This setup maintains fast registration flows while enriching decisions with digital footprint data from email addresses, phone numbers, IP addresses, and devices. The system automates more decisions reliably while giving analysts full control over risk thresholds and decision logic.
SEON also meets the compliance standards required in regulated iGaming markets. The platform maintains complete audit trails, tracks rule modification history, and documents who made each configuration change. This compliance infrastructure is essential for license requirements.
Strengthen Your iGaming Platform with AI-Powered Protection
Implementation Strategy and Technical Deployment
Soft2Bet executed a rapid SEON deployment, strategically positioning fraud checks at critical decision points throughout the customer journey. The configuration established automated workflows: low-risk activities received instant approval, medium-risk cases triggered escalation protocols, and high-risk events were immediately routed to analyst review. This tiered approach concentrated manual review resources on genuinely suspicious patterns while eliminating unnecessary intervention in routine transactions.
Multi-Stage Protection Framework
SEON’s capabilities were deployed across three key touchpoints:
- Registration stage: Digital Footprint analysis enriches user profiles instantly, evaluating email, phone, and IP data to detect synthetic identities and disposable accounts
- Login authentication: Targeted verification protocols safeguard session security without adding friction to legitimate user access
- Deposit processing: Payment screening identifies patterns linked to card testing and bonus exploitation while preserving seamless transactions for verified players
Core Technologies Driving Results
The deployment leveraged three foundational SEON capabilities that work in concert:
- Digital Footprint analysis – Captures early-warning signals during initial interactions
- Email and phone scoring – Delivers immediate quality assessments of contact information
- Machine Learning models – Powers precise risk classifications supported by transparent, auditable rule logic
This integrated approach enables proactive fraud prevention before resource-intensive manual reviews become necessary, accelerating decision velocity while maintaining detection accuracy.
Performance Outcomes
The SEON deployment produced measurable operational improvements. Manual query volume decreased by 40%, and analysts completed manual reviews 20% faster. These efficiency gains allowed the risk team to concentrate on genuinely complex cases while automated systems handled routine decisions.
Operational Impact
- 40% reduction in manual queries
- 20% faster completion of manual reviews
- Shorter approval times for legitimate players
- More consistent decision-making across all cases
- Lower analyst workload on routine activity
The combination of machine learning and rule-based logic improved decision accuracy at registration, login, and deposit checkpoints. Controls became tighter without creating friction for trusted users.
Security and User Experience Benefits
More precise risk targeting reduced unnecessary verification steps for low-risk players and streamlined KYC processes for legitimate users. Early-stage screening and better signal quality decreased losses from chargebacks and bonus abuse. The system distinguishes between genuine players and fraudulent activity more effectively, which protects both revenue and user experience.
The results show how automated fraud detection supports analyst expertise rather than replacing it, improving both security outcomes and operational efficiency.
Operational and Strategic Benefits
SEON’s integration delivers practical value across operations, compliance, and player interactions. The system converts fraud prevention into measurable improvements: faster decisions, reduced manual work, and complete audit documentation that supports regulatory requirements.
Regulatory Compliance Across Markets
Soft2Bet adjusts rules and risk thresholds for each market, matching local licensing requirements while maintaining consistent user flows. The platform tracks policy versions and logs all configuration changes with clear ownership records. When regulations update, the team can modify settings quickly and demonstrate compliance to regulators through complete audit trails.
Growth Without System Rebuilds
The platform scales through configuration updates rather than workflow redesigns. As Soft2Bet launches new brands or handles increased traffic, they extend existing rules, add new data signals, and adjust thresholds without affecting system performance. The single API structure and machine learning models maintain consistent risk management quality regardless of volume.
Player Confidence and Retention
Consistent decision-making builds user trust. The system blocks fraud early in the registration process and removes unnecessary verification steps for legitimate players. This approach speeds up KYC completion and reduces customer service disputes.
Key trust factors:
- High-risk accounts stopped before they affect other users
- Low-risk players experience minimal friction
- Faster account approval for genuine users
- Fewer false positives that frustrate legitimate customers
The result is fraud prevention that protects revenue while improving player satisfaction and encouraging long-term engagement.
FAQ
SEON maintains complete audit trails that document every decision and configuration change with clear ownership records. Operators can customize rules and risk thresholds for each market while keeping user flows consistent across brands. When licensing requirements change, teams can update settings quickly and provide regulators with transparent documentation of their fraud prevention processes and policy versions.
SEON identifies multiple fraud types at different stages of the player journey. At registration, it detects synthetic identities and temporary accounts through digital footprint analysis. During login, it spots account takeover attempts through session verification. At deposit, the system recognizes card testing patterns and bonus abuse schemes. The platform analyzes email quality, phone legitimacy, IP reputation, and device signals to catch fraudulent activity before it causes losses.
SEON scales through configuration rather than system rebuilds. As operators launch new brands or handle increased traffic, they extend existing rules, add data signals, and adjust thresholds without affecting performance. The single API structure processes higher volumes while machine learning models maintain consistent accuracy. Soft2Bet’s implementation shows this scalability in practice, supporting multiple brands across different markets without workflow redesigns.
Automated systems make faster decisions for legitimate players while blocking fraud early. Low-risk users avoid unnecessary verification steps and experience quicker account approvals. The system reduces false positives that frustrate genuine customers and speeds up KYC completion. By focusing manual reviews only on truly ambiguous cases, automation shortens wait times and creates more consistent outcomes, which builds player trust and reduces customer service disputes.