- 87.5% reduction in fraud since partnering with Ravelin (2018–2026).
- Serves over 20 million gamers with nearly 200 payment methods.
- Digital goods sector fraud grew by 162% from 2025 alone, with 82% of declined transactions being false positives in gaming.
Experts would likely conclude that Kinguin's AI-driven fraud prevention partnership has transformed its security posture, turning a vulnerability into a competitive advantage while significantly reducing financial losses and improving customer trust.
Gaming's New Playbook: Kinguin Slashes Fraud by 87.5% with AI Partner
LONDON, UK – August 12, 2026
In the world of corporate partnerships, renewals are common. But occasionally, a renewal announcement contains a data point so striking it demands a closer look. Such is the case with Kinguin, a global marketplace for digital games, which just renewed its partnership with the AI-native fraud prevention platform, Ravelin. The number that jumps off the page? An 87.5% reduction in fraud since the two companies began working together in 2018.
For a company like Kinguin, which serves over 20 million gamers and juggles nearly 200 different payment methods, this isn't just a win; it's a fundamental transformation. It’s a story that goes beyond a press release, revealing a crucial playbook for any online business navigating the treacherous waters of e-commerce today. As someone who has spent years poring over company reports, I’ve learned that the most interesting stories are often hidden in the operational shifts behind the big numbers. And the story of Kinguin and Ravelin is a masterclass in how leveraging the right technology can turn a company’s biggest vulnerability into a competitive advantage.
A Magnet for Fraudsters: The Digital Goods Dilemma
To understand the significance of Kinguin's achievement, one must first understand the unique perils of the digital goods market. The press release describes the marketplace as a former "magnet for fraudsters," a phrase that is far from hyperbole. The digital goods sector, now worth upwards of $135 billion, is a high-risk playground for criminals for one simple reason: instant gratification.
Unlike physical goods, which require shipping and handling, a digital game key is delivered instantly. For a fraudster using a stolen credit card, this means instant results and a quick getaway, leaving the merchant to deal with the inevitable chargeback. According to industry research, fraud in the digital goods sector is growing at a staggering rate, increasing by 162% from 2025 alone. The very nature of the product creates a near-zero window for intervention.
Furthermore, the sheer volume and variety of transactions make manual oversight nearly impossible. Before partnering with Ravelin, Kinguin’s anti-fraud team worked "around the clock manually reviewing suspicious transactions." This is a reactive, inefficient, and ultimately unwinnable battle. It's like trying to bail out a sinking ship with a teaspoon while the holes get bigger. Not only is it resource-intensive, but it also creates friction for legitimate customers. Industry reports show that in the gaming sector, a staggering 82% of declined transactions are actually false positives—legitimate buyers wrongly blocked. This doesn't just cost a single sale; it erodes customer trust and lifetime value.
The AI-Native Advantage
This is where the narrative shifts from a defensive crouch to a proactive stance. Kinguin’s renewal with Ravelin highlights a growing confidence in what the platform calls an "AI-native" approach. This isn't just about automating old rule-based systems. It's a completely different philosophy of fraud detection.
Ravelin’s CEO, Martin Sweeney, noted, “Fraud doesn’t start at the payment stage and neither should prevention. The strongest signals often appear much earlier in the customer journey.” This is the core of the strategy. Instead of just scrutinizing the final click of the "buy" button, Ravelin's system assesses risk continuously. It uses a combination of machine learning, sophisticated graph networks that map connections between seemingly unrelated accounts to uncover fraud rings, and real-time behavioral analysis.
Is a user logging in from an unusual location? Are they pasting credentials instead of typing them? Are they cycling through multiple payment methods rapidly? These are the subtle behavioral clues that, when analyzed together, paint a far more accurate picture of intent than a simple credit card check. By modeling behavior across the entire transaction lifecycle—from account creation to browsing to checkout—the AI can spot deviations that signal a likely attack, long before a payment is even attempted. This allows Kinguin to block fraudsters early while ensuring legitimate customers have a smooth, frictionless experience.
From Manual Reviews to Strategic Intelligence
Perhaps the most compelling part of this story, from a business perspective, is the evolution of Kinguin’s anti-fraud team. The automation provided by Ravelin didn't replace the human element; it elevated it. Egemen Ertop, Kinguin's Global Head of Anti-Fraud, put it best: “Automating fraud prevention with Ravelin has fundamentally changed how we operate... This has given our team the space to focus on higher-value work.”
This is the promise of AI in the workplace realized. The team, once bogged down in the Sisyphean task of manual reviews, was freed to become a strategic intelligence unit. Instead of just reacting to individual alerts, they can now analyze macro trends identified by the AI, investigate sophisticated fraud rings that the system uncovers, and work proactively to strengthen business policies. They transitioned from being a cost center—a "weak link," as Ertop once described it—to a "crucial function that powers merchant growth."
This shift is critical. As fraudsters also begin to leverage AI to scale their attacks, the human defenders need to be focused on strategy, not on the tactical, repetitive work that machines do better. The partnership allows Kinguin's experts to use their intuition and experience where it matters most, guided by the powerful data processing of their AI partner.
The Numbers Behind the Story
Let's return to that headline figure: an 87.5% reduction in fraud. To a market analyst, a number like that begs for context. While Kinguin's initial fraud rate isn't public, we can use industry benchmarks to grasp the scale of this success. With e-commerce companies losing an average of 2.9% to 3.2% of their revenue to payment fraud, and the digital goods sector being even riskier, a conservative estimate for a marketplace like Kinguin might have been 4-5% before 2018. An 87.5% reduction would bring that rate down to around 0.5-0.6%, a figure that is indeed an "industry-leading low."
This reduction translates directly into millions of dollars saved, not just from fraudulent losses but also from the associated chargeback fees and operational costs. But the true financial impact is even greater. By reducing false positives, the company is capturing revenue it would have otherwise lost, all while building a reputation for being a secure and reliable marketplace.
The renewal of this partnership signals that the initial investment has paid for itself many times over. It’s a testament to the fact that in today's digital economy, investing in robust, intelligent security isn't a defensive expenditure; it's a strategic investment in growth. As fraudsters' tactics evolve, having a system that learns and adapts in real-time is no longer a luxury, but a necessity for survival. For Kinguin, this renewal isn't just about maintaining security; it's about securing the confidence to continue scaling in a landscape where trust is the most valuable asset.
Topics & Related
AI & Machine Learning
Artificial Intelligence
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