Online Games

AI Fraud Prevention in Action: Soft2Bet & SEON’s Approach to Enhancing iGaming Efficiency

Wednesday 26 de November 2025 / 12:00

⏱ 2 min read

(Malta).- Soft2Bet uses SEON to show how AI-driven fraud prevention strengthens fraud detection and risk management in iGaming. By enriching decisions with digital-footprint data and automating low-risk paths, the company has cut manual queries by 40% and accelerated manual reviews by 20%

AI Fraud Prevention in Action: Soft2Bet & SEON’s Approach to Enhancing iGaming Efficiency

The partnership between Soft2Bet and SEON highlights why fraud prevention is essential for regulated iGaming environments and offers practical configuration tips and ready-to-use solutions.

Company Background & Challenges

Soft2Bet is a leading iGaming turnkey provider and multi-brand operator, known for MEGA—its plug-and-play gamification suite designed to increase engagement and player lifetime value. Operating in fast-growing and highly regulated markets, the company treats compliance and customer experience as complementary priorities. Its main challenge was maintaining accuracy and speed as sign-ups and transactions surged.

The risk team was tasked with protecting conversion, meeting licence obligations, intercepting abuse earlier, and reserving human review for ambiguous cases. By giving trustworthy players a faster path and focusing analyst time where it counts, Soft2Bet aimed to strengthen both protection and experience.

Why SEON Was Selected

Soft2Bet chose SEON for its blend of machine-learning risk scores and configurable rules delivered via a single, fast API. SEON enriches decisions with email, phone, IP, and device intelligence, enabling more confident automation without sacrificing analyst oversight. It also provides the governance required for iGaming compliance—auditable rule changes, version control, and transparent ownership.

With SEON embedded, Soft2Bet gains clearer decisions, fewer manual touchpoints, and cleaner audit trails, supporting scalable growth across brands and markets.

Key Benefits

Regulatory flexibility: Soft2Bet tailors rules and thresholds per market to match local licence requirements, with versioned policies that make compliance easy to prove and updates simple to deploy.

Scalability: SEON’s single-API approach and ML-based scoring allow Soft2Bet to handle higher traffic and new brand launches without redesigning workflows.

Greater user trust: Early blocking of high-risk activity and fewer unnecessary verifications improve KYC completion, reduce disputes, and create smoother, more consistent player journeys.

FAQ

How does AI-based fraud prevention work in iGaming?
SEON collects digital signals—email, phone, IP, device and session data—and converts them into real-time risk scores. Rules and models apply these scores at registration, login and deposit. Suspicious behaviour is flagged or blocked automatically, while analysts focus on uncertain cases.

What are the benefits of automating KYC?
Automation cuts queue times and eliminates repetitive checks. Soft2Bet reduced manual queries by 40% and shortened manual reviews by 20%. Players face fewer delays, and analysts spend more time on complex cases, improving both security and experience.

Integration Overview

Soft2Bet integrated SEON quickly, setting up rules to auto-approve low-risk actions, escalate medium-risk events, and route high-risk cases to analysts. Real-time digital-footprint analysis at registration exposes synthetic or disposable accounts, while login checks protect sessions without friction. At deposit, SEON flags card-testing or bonus-abuse patterns while keeping trusted players’ payments smooth.

Three core capabilities support the rollout: digital-footprint enrichment for early risk signals, email and phone scoring for immediate quality checks, and machine learning for precise, explainable decisions. Together they enable earlier fraud prevention, faster processes, and high accuracy without increasing manual workload.

Categoría:Online Games

Tags: Soft2Bet,

País: Malta

Región: EMEA

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