1. Frogo is positioning itself as a comprehensive anti-fraud solution for the iGaming industry. What sets it apart from other fraud prevention platforms on the market today?
Frogo integrates advanced technologies such as device fingerprinting, a scoring engine with both static and dynamic triggers, an AI module, and graph-based forensic tools. This combination enables businesses to detect and prevent various fraudulent activities effectively. In addition to fully feature-packed software, we offer our expert guidance. This is our key feature. By choosing our platform, partners receive comprehensive advisory support and, if needed, assistance in setting up anti-fraud processes from scratch.
2. Can you walk us through Frogo’s core features and how they help operators detect and prevent fraudulent activities in real time?
At Frogo, we’ve created an anti-fraud platform to help operators detect and prevent fraudulent activities in real time. Our key features include device fingerprinting technology for tracking suspicious behavior and a scoring engine that assesses user actions, assigning risk scores to identify anomalies.
With AI analysis, Frogo adapts to new fraud patterns, enhancing accuracy and response times. Our forensic tools visualize fraud networks, making it easy to spot collusion.
We also provide a flexible rule management system for policy adjustments, along with automated blacklist and whitelist management. Real-time transaction monitoring and access control features enable swift responses to threats.
By integrating these advanced technologies, Frogo equips operators with the tools to combat fraud, protect revenue, and maintain a secure gaming environment.
3. Fraud in iGaming is evolving rapidly. What are the biggest fraud trends and threats operators should be aware of in 2025, and how will Frogo help mitigate them?
Fraud in iGaming is evolving faster than ever, and operators need to stay one step ahead to protect both their revenue and reputation. By 2025, we expect fraudsters to become even more strategic, leveraging AI and automation to bypass traditional security measures. I talk about more sophisticated fraud tactics — things like synthetic identities, bonus abuse, multi-accounting, affiliate fraud, insider collusion, and advanced bot attacks.
At Frogo, we take these threats seriously. Our platform is built to fight fraud in real time, using advanced tools like device fingerprinting, an AI-driven scoring engine, and graph-based forensic analysis. The key is adaptability — our technology evolves alongside emerging fraud patterns, giving operators the confidence to run their platforms securely while ensuring fair play for all.
4. AI and machine learning are becoming key tools in fraud detection. How does Frogo leverage these technologies to enhance security and accuracy for its clients?
AI and machine learning are at the heart of Frogo’s fraud prevention. Our AI-powered risk scoring analyzes data in real time, detecting anomalies like multi-accounting, bonus abuse, and suspicious betting patterns.
With graph-based forensic analysis, we map relationships between accounts and transactions to uncover fraud rings and collusion. Our adaptive fraud prevention continuously evolves to counter emerging threats, while automated decision-making reduces false positives and manual workload.
At Frogo, we don’t just fight fraud—we stay ahead of it, ensuring operators can run secure, fair, and seamless gaming platforms.
5. Frogo is already operational and has its first clients. Can you share some insights into how your platform is performing and what feedback you’ve received so far?
At Frogo we have fully experienced a journey from the integration to going live while we’ve been setting up our products and we know that there can be hard times understanding such complicated tools as anti-fraud platforms. That’s why we are using a client-centric approach and aim to deliver the most streamlined process in any aspect of our client lifecycle – on the business side we are being completely transparent, without excessive bureaucracy and zero hidden payments, on the technical side – we have built extremely flexible system that allows us to onboard both startups and big tech with exclusive efficiency, on the support side – we never leave our clients alone, providing live assistance not only through the personal manager but connecting our tech and analytics teams so any question can be solved in a blink of an eye.
We provide extended support to our clients by walking them through every step, such as mapping the integration, sharing technical documentation guides, and delivering our best practice policies so they do not have to start from scratch. Also, we are taking the responsibility of setting up and further support of all internals of the Frogo system which saves plenty of time on learning new technologies for the client’s risk team.
Going Live never finishes close cooperation with our clients, since we keep an eye on the clients’ performance as well as having regular meeting sessions to deliver our insights in fraud detection, share our expertise, and gather feedback.
6. As the industry grows and regulations tighten, how do you see the future of anti-fraud technologies evolving in the next five years? What role will Frogo play in shaping that future?
First of all, no regulation could efficiently secure businesses from fraud schemes. Bonus abuse, internal bugs, and money laundering are common for businesses worldwide. AI makes it even more costly – because now fraudsters have a powerful tool for identity spoofing. Thus, they gain higher conversion on bypassing the KYC/compliance stage. This is the point where scoring policies based on behavioral patterns and game style are performing fraud detection uplift.
The future will bring more regulations and bureaucracy, which could trouble non-professional fraudsters. But for sophisticated fraud teams and individuals, it’s just one more challenge to solve — not more. Frogo will still focus on customer strategy, not how he wants to be alike.
