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  2. AI Victory at SiGMA Awards: Frogo Sets New Standards Against Bonus Abuse
Technology

AI Victory at SiGMA Awards: Frogo Sets New Standards Against Bonus Abuse

4 November 20266 Min.by Lisa Lustich
Editorially reviewed by Lisa LustichLast review: 4 November 2026
KI-Sieg bei den SiGMA Awards: Frogo setzt neue Standards gegen BonusmissbrauchAI-GENERATED

Fraud prevention platform Frogo wins Best AI Solution 2026. With up to 99 percent accuracy, the system detects fraud like multi-accounting in online casinos.

TL;DR · Key takeaway

The fraud prevention platform Frogo was named Best AI & Innovation Solution at the SiGMA World Awards 2026. The system utilizes behavioral biometrics and machine learning to identify bonus abuse and bot networks in real time. Through a recall-first architecture, suspicious patterns are detected without complicating the login process for legitimate customers. This technological advancement is crucial for operators to effectively minimize financial losses caused by organized fraud schemes in the iGaming sector.

The world of online casinos is becoming increasingly complex, and with it, the challenges for security teams are growing. While honest players just want to spin a slot, organized gangs use automated scripts and countless fake accounts to systematically exploit operator bonus offers. In this arms race, one company has now set a clear signal. The Frogo platform was honored for its outstanding work in the field of artificial intelligence at the SiGMA World Awards 2026. It is about much more than just a simple security tool. The system promises to detect fraud patterns before they can even cause financial damage.

The recognition as Best AI & Innovation Solution highlights a trend that has gripped the entire gambling industry. Classic security rules based on rigid specifications often fall short today or annoy users with constant verifications. Frogo takes a different approach. By analyzing behavioral biometrics and input anomalies, the system recognizes whether a human or a machine is at work. Importantly, no personal biometric data such as FaceID or fingerprints are stored, which is a significant signal, especially regarding data protection in Europe.

Numbers and facts

The technical details of the platform are impressive. According to the company, cross-browser tracking achieves an accuracy of up to 99 percent. This means that users can be identified across different domains, browsers, and so-called mirrors. This is particularly important for preventing multi-accounting, where a player signs up under dozens of identities to claim welcome bonuses multiple times. Frogo uses a special graph-based investigation technology for this, allowing risk managers to see the big picture rather than just individual data points.

Frogo CEO Volodymyr Todurov emphasized the relevance of this development during his keynote on the main stage at SiGMA World. He pointed out that modern fraudsters are constantly evolving their methods, from switching browsers to using highly complex automated scripts. The platform was specifically designed to intercept these threats while turning costs for operators into profit by minimizing false positives.

"Winning the Best AI & Innovation Solution award at SiGMA validates our core strategy: making advanced fraud prevention accessible, adaptable, highly accurate and turning the cost into a profit. Our graph-based investigation tools allow risk teams to see the complete picture and intercept threats before they hit the bottom line." - Volodymyr Todurov, CEO of Frogo

Background

Frogo is an all-in-one risk management solution used not only in iGaming but also in e-commerce and the fintech sector. The infrastructure is hosted on European AWS servers and is certified according to ISO/IEC 27001 and PCI DSS compliant. The system works with a so-called recall-first architecture. The goal is to identify suspicious behavior patterns in real time without interrupting the flow for trustworthy customers. Dynamic risk models are used, which are constantly improved by machine learning.

Why it matters for German players

For players in Germany active in casinos with a license from the Gemeinsame Glücksspielbehörde der Länder (GGL), such surveillance technologies may initially sound like a restriction of privacy. However, the opposite is true. The German Interstate Treaty on Gambling 2021 (GlüStV 2021) sets extremely high hurdles for player protection and fraud prevention. Systems like Frogo help licensed providers meet strict legal requirements without burdening honest customers with unnecessary bureaucracy.

Strict rules apply in Germany: the cross-provider deposit limit of 1,000 euros per month and the stake limit of 1 euro per spin on virtual slot machines are monitored via the LUGAS system. When fraudsters try to bypass these limits through multi-accounting, they jeopardize the integrity of the entire regulated market. AI that recognizes such patterns without storing sensitive data like face scans ultimately also protects the provider's license. German players benefit because casinos become safer and bonus offers can remain fairly calculated because they no longer have to be cross-subsidized by massive abuse.

What it means for GGL-licensed casinos

German casinos on the GGL whitelist must balance maximum player protection with economic viability. Efficient risk management is vital here. While illegal providers from Curacao or Malta often look less closely at who is behind an account, GGL operators must clarify every identity beyond doubt. The use of AI-supported fraud prevention like Frogo allows operators to save resources. Instead of manually checking thousands of accounts, the AI delivers precise scores. Since the platform is ISO-certified and hosts data isolated in Europe, it fits perfectly into the regulatory framework of the Federal Republic. It is expected that more and more German licensees will rely on such highly specialized systems to meet the requirements of the GlüStV.

Key Takeaways

  • Frogo won the Best AI & Innovation Solution award at SiGMA on November 4, 2026.
  • The platform's cross-browser tracking achieves a precision of up to 99 percent according to the manufacturer.
  • CEO Volodymyr Todurov presented the AI solution at booth H1-1047 at SiGMA World.
  • The platform is ISO/IEC 27001 certified and uses European AWS infrastructure for data security.
  • The technology detects bot networks and multi-accounting without storing FaceID or fingerprints.

Frequently asked questions

What is Frogo and why did it win an award?

Frogo is a fraud prevention platform that was named the best AI solution at the SiGMA World Awards 2026. It uses machine learning and behavioral biometrics to stop bonus abuse and bot networks in real time.

How does the system detect fraud attempts?

The technology uses cross-browser tracking and input anomalies with an accuracy of up to 99 percent. This allows operators to see if a user is using multiple accounts or automated scripts to manipulate games.

Are personal data like fingerprints stored during biometrics?

No, the platform uses non-invasive behavioral biometrics. This means behavior is analyzed without collecting sensitive data like FaceID or actual fingerprints, which complies with data protection standards.

What does recall-first architecture mean?

This technical approach aims to identify as many suspicious patterns as possible immediately. Care is taken to ensure that the normal login process for honest players remains smooth and is not disrupted by security queries.

How do players in Germany benefit from this technology?

By protecting against bonus abuse, legal GGL casinos can continue to make attractive offers. Additionally, the technology supports compliance with the Interstate Treaty on Gambling 2021 by preventing illegal multiple registrations and thus strengthening player protection.

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About the author

Lisa Lustich

Lisa Lustich

Editor-in-chief & casino tester

Lisa Lustich has been testing German-language online casinos since 1997 and runs the Lustich.de newsroom. More than 400 published reviews, certified player-protection advisor (BZgA training, 2019).

All articles by Lisa Lustich →

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