Kinguin cuts ecommerce fraud 87.5% with AI-native Ravelin platform

Global digital games marketplace Kinguin has renewed its partnership with AI-native fraud prevention platform Ravelin for a further three years, following an 87.5% reduction in fraud rates since the two companies first began working together in 2018. The deal, announced on 12 August 2026, eliminates the need for real-time manual transaction reviews and positions continuous, AI-driven risk assessment as the operational baseline for a platform serving more than 20 million registered users across nearly 200 payment methods.

The significance of the result goes beyond a single merchant's operational win. Digital goods marketplaces occupy one of the highest-risk segments in e-commerce: instant delivery removes the friction that slows physical-goods fraud, and a broad payment-method catalogue creates a wide attack surface. Kinguin's previous model concentrated risk scoring at the payment authorisation stage, requiring around-the-clock manual oversight. Under the Ravelin model, risk is assessed continuously across the full customer journey, surfacing suspicious behavioural signals before a transaction reaches the payment step.

From point solution to continuous intelligence

Ravelin's architecture combines machine learning, graph networks, behavioural analysis and consortium data across its 340-plus merchant client base. That consortium element is commercially significant: signals detected on one platform inform defences across the network, compressing the window in which a new fraud pattern can operate undetected. For Kinguin's anti-fraud team, the practical outcome is reallocation of human effort away from high-volume, low-judgement review work toward strategic threat analysis.

Egemen Ertop, Global Head of Anti-Fraud at Kinguin, noted that automating fraud prevention had "fundamentally changed how we operate," adding that fraud and prevent rates are now at what the company describes as an "industry-leading low." Martin Sweeney, CEO of Ravelin, framed the broader strategic argument: "Fraud doesn't start at the payment stage and neither should prevention. The strongest signals often appear much earlier in the customer journey."

Cross-sector read-across: payments infrastructure meets retail risk

The Kinguin-Ravelin renewal sits within a rapidly maturing AI-fraud-prevention market that carries implications well beyond gaming. Across retail e-commerce, financial services and digital media, the architectural shift from static, rules-based point solutions to adaptive, journey-wide intelligence is accelerating. Payment networks and card schemes have long pressed merchants to reduce chargebacks; AI-native platforms are now making that commercially viable at scale without sacrificing conversion rates for legitimate customers.

For investors watching the fintech and retail-tech intersection, the fraud-prevention stack is becoming a capital-allocation question. Legacy payment processors face pressure to embed or acquire journey-wide intelligence layers; pure-play AI fraud vendors such as Ravelin, alongside competitors including Stripe Radar and Forter, are competing for renewal cycles that now extend to multi-year contracts rather than annual reviews. The Kinguin renewal at three years signals growing merchant confidence that AI-native platforms can deliver durable, not merely incremental, fraud reduction.

The geopolitical dimension is quieter here but not absent. Digital goods marketplaces operate across jurisdictions with sharply different fraud-liability regimes. As regulatory pressure mounts in the EU under PSD3 and in the UK under the Payment Systems Regulator's expanded chargeback rules, merchants that can demonstrate systemic, auditable fraud controls rather than ad hoc manual review will carry a structural compliance advantage. Ravelin's model, which logs continuous behavioural signals rather than single-point decisions, is better positioned to satisfy an audit trail requirement than its rule-based predecessors.

The next test for the sector is whether journey-wide AI fraud prevention scales effectively into emerging markets, where payment-method heterogeneity and identity-verification infrastructure are less mature. Kinguin's nearly 200 accepted payment methods hint at that complexity already: sustaining an 87.5% fraud reduction across that breadth, over a three-year horizon, will be the more demanding proof point than the headline number itself.