Frogo ads

𝟕𝟎% 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐫𝐢𝐬𝐤 𝐝𝐚𝐭𝐚 𝐢𝐬 𝐬𝐢𝐭𝐭𝐢𝐧𝐠 𝐮𝐧𝐮𝐬𝐞𝐝. 𝐓𝐡𝐚𝐭'𝐬 𝐧𝐨𝐭 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲. 𝐓𝐡𝐚𝐭'𝐬 𝐚 𝐜𝐨𝐬𝐭 𝐜𝐞𝐧𝐭𝐞𝐫. Treating your anti-fraud system like an airbag means activating it only after the crash. It limits your growth, while 70% of the risk stack remains unused. During the webinar "The Airbag Dilemma", Frogo CEO Volodymyr Todurov will show you how to shift to proactive and automated risk management. 𝐴 ℎ𝑎𝑛𝑑𝑦 𝑏𝑜𝑛𝑢𝑠: 𝑎 7-𝑚𝑖𝑛𝑢𝑡𝑒 𝑔𝑢𝑖𝑑𝑒 𝑓𝑜𝑟 𝑖𝐺𝑎𝑚𝑖𝑛𝑔 𝑜𝑝𝑒𝑟𝑎𝑡𝑜𝑟𝑠. 𝐒𝐢𝐠𝐧 𝐮𝐩, 𝐥𝐢𝐯𝐞 𝐨𝐧𝐥𝐲⬇️

An iGaming operator almost lost $26M. How did they prevent it with anti-fraud tools? A malfunction in one iGaming provider's slot game put operators at risk of huge financial losses. Rule-based solutions failed to solve the problem and only made it worse Anti-fraud dynamic tools detected unusual user behavior early, preventing one client from suffering a potential $26M loss. How did they manage to detect the abuse, stop the profit leak and avoid disrupting legitimate players? Learn the details in the full case study

Can your anti-fraud system spot a $26M vulnerability? A malfunction in one iGaming provider's slot game put operators at risk of huge financial losses. Rule-based solutions failed to solve the problem and only made it worse Anti-fraud dynamic tools detected unusual user behavior early, preventing one client from suffering a potential $26M loss. How did they manage to detect the abuse, stop the profit leak and avoid disrupting legitimate players? Learn the details in the full case study

A $26M loss prevented during an iGaming exploit. A malfunction in one iGaming provider's slot game put operators at risk of huge financial losses. Rule-based solutions failed to solve the problem and only made it worse Anti-fraud dynamic tools detected unusual user behavior early, preventing one client from suffering a potential $26M loss. How did they manage to detect the abuse, stop the profit leak and avoid disrupting legitimate players? Learn the details in the full case study

A $26M exploit that standard anti-fraud tools might miss. A malfunction in one iGaming provider's slot game put operators at risk of huge financial losses. Rule-based solutions failed to solve the problem and only made it worse Anti-fraud dynamic tools detected unusual user behavior early, preventing one client from suffering a potential $26M loss. How did they manage to detect the abuse, stop the profit leak and avoid disrupting legitimate players? Learn the details in the full case study

Оne iGaming error and $26M gone — not with dynamic anti-fraud tools. A malfunction in one iGaming provider's slot game put operators at risk of huge financial losses. Rule-based solutions failed to solve the problem and only made it worse Anti-fraud dynamic tools detected unusual user behavior early, preventing one client from suffering a potential $26M loss. How did they manage to detect the abuse, stop the profit leak and avoid disrupting legitimate players? Learn the details in the full case study