{"id":56866,"date":"2025-10-28T09:42:21","date_gmt":"2025-10-28T09:42:21","guid":{"rendered":"https:\/\/europeangaming.eu\/portal\/?p=194824"},"modified":"2025-10-28T09:42:21","modified_gmt":"2025-10-28T09:42:21","slug":"the-brains-behind-predictive-fraud-how-frogo-turns-risk-into-growth","status":"publish","type":"post","link":"https:\/\/hipther.com\/events\/the-brains-behind-predictive-fraud-how-frogo-turns-risk-into-growth\/","title":{"rendered":"The Brains Behind Predictive Fraud: How Frogo Turns Risk into Growth"},"content":{"rendered":"\"TheReading Time: <\/span> 2<\/span> minutes<\/span><\/span>

Fraud is evolving fast and businesses need more than reactive tools – they need a partner that can predict, prevent and adapt in real time. Frogo, the all-in-one fraud prevention platform, RedCore\u2019s brand, is doing exactly that. From device fingerprinting and AI-powered scoring engines to graph-based forensic tools, Frogo<\/a> empowers businesses to reduce losses, streamline processes and grow with confidence.<\/p>\n

We spoke with Maksym Tkach, CTO at Frogo<\/strong>, about the company\u2019s approach to fraud prevention, model management, transparency and how it\u2019s preparing for next-generation threats.<\/p>\n

 <\/p>\n

How does Frogo ensure transparency and auditability while running a scoring engine and how do you balance that with real-time performance?<\/strong><\/p>\n

Transparency and speed don\u2019t have to be at odds, we achieve this through careful architecture design. Every decision our system makes is fully traceable. If a transaction is flagged, we don\u2019t just provide a score. We log the full context: the specific policy executed, all input variables and features and human-readable reasons that explain exactly which triggers were activated.<\/p>\n

Yet, detailed logging doesn\u2019t slow down the process. Our core decisioning engine responds in milliseconds, while the full audit details are published asynchronously to a message bus and stored separately. This ensures our partners get immediate responses without compromising traceability for our analysts.<\/p>\n

How does Frogo manage model drift and concept drift across multiple fraud domains? What strategies ensure seamless retraining or evolution of your models?<\/strong><\/p>\n

Fraud is constantly evolving, so our system must adapt. We take a multi-layered approach:<\/p>\n

Drift Detection:<\/strong> We monitor incoming data for inconsistencies, leverage anomaly detection within our rule engine and actively use partner feedback to identify potential issues early.<\/p>\n

Seamless Retraining:<\/strong> When a model needs updating, we follow a \u2018champion-challenger\u2019 approach. The challenger model is backtested against historical data, shadow-tested in live traffic without affecting decisions and only promoted after proving its superiority.<\/p>\n

This structured process allows us to maintain performance, adapt to new threats and minimize any impact on our partners\u2019 operations.<\/p>\n

In what ways does Frogo support explainable appeals or reversals? Is there a rollback mechanism?<\/strong><\/p>\n

We believe partners should feel empowered, not constrained by a black box. Every risk decision comes with a detailed, human-readable breakdown of the triggers and scores, forming the basis for appeals.<\/p>\n

For reversals:<\/p>\n

Case-by-Case:<\/strong> Our FinalReview API lets partners override individual false positives, while feeding back critical ground-truth for future improvements.
\nPolicy Rollbacks:<\/strong> Partners can instantly disable underperforming triggers through our back-office control panel. Every action is fully logged, ensuring transparency and accountability.<\/p>\n

As quantum computing and encrypted data processing gain prominence, how is Frogo preparing for next-gen fraud schemes?<\/strong><\/p>\n

We approach next-generation threats proactively.<\/p>\n

Quantum Readiness:<\/strong> Our system is crypto-agile – we can swap in quantum-resistant algorithms quickly. Strong encryption, network segmentation and partner-dedicated accounts add layers of protection.
\nEncrypted Data Processing:<\/strong> We offer flexibility depending on partner needs. Privacy-conscious partners can provide hashed depersonalised data, allowing us to detect fraud without ever getting access to sensitive information.<\/p>\n

This dual approach keeps us ahead of evolving threats while respecting privacy and compliance requirements.<\/p>\n

Frogo is not just about stopping fraud – it\u2019s about turning risk into growth. By combining real-time automation, AI intelligence and deep forensic capabilities, the platform helps businesses reduce losses, streamline operations and deliver seamless experiences for legitimate users.<\/p>\n

If you want to see Frogo in action and explore how the platform can safeguard your business while driving growth, join Maksym Tkach and the Frogo team at SiGMA, November 4-6, booth <\/strong>#1047<\/strong>.<\/strong><\/p>\n

Leap into safety and catch the risks before they catch you.<\/p>\n

The post The Brains Behind Predictive Fraud: How Frogo Turns Risk into Growth<\/a> appeared first on European Gaming Industry News<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

\"TheFraud is evolving fast and businesses need more than reactive tools \u2013 they need a partner that can\u2026<\/p>\n

The post The Brains Behind Predictive Fraud: How Frogo Turns Risk into Growth<\/a> appeared first on European Gaming Industry News<\/a>.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"iawp_total_views":7,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[180],"tags":[],"class_list":["post-56866","post","type-post","status-publish","format-standard","hentry","category-interviews"],"acf":[],"yoast_head":"\nThe Brains Behind Predictive Fraud: How Frogo Turns Risk into Growth - Events by HIPTHER<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/hipther.com\/events\/the-brains-behind-predictive-fraud-how-frogo-turns-risk-into-growth\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Brains Behind Predictive Fraud: How Frogo Turns Risk into Growth - 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