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What banks did wrong in 2024: Critical AML failures and essential . . . Build stronger AML defences with Consilient The lessons from 2024’s AML failures point to a clear conclusion: financial institutions need to fundamentally rethink their approach to compliance The cost of poor AML controls extends far beyond regulatory fines
How AI helps governments and businesses tackle AML and economic crime Consilient is uniquely positioned with its expertise and solutions to help the private and public sector overcome hurdles, and these boundaries add a superpower to any financial crime fighter ” Here’s how Federated Learning works in practice: 1 Addressing systemic ecosystem challenges
How Consilient’s new models detects hidden high-risk typologies Consilient’s High-Risk Typology Model delivers next-generation AML detection, allowing banks to identify undisclosed high-risk activity, enhance compliance, and optimize operations without compromising privacy
How model intelligence is transforming financial crime detection Consilient’s Federated Learning solution has proven it can reduce false positives by over 80% and increase detection by 300%, particularly in scenarios where existing rules are not tailored to the portfolio
Core AML CFT Model » Consilient Consilient utilizes XGBoost (Extreme Gradient Boosting) to deliver fast, accurate, and scalable models ideal for banking transaction data With tools for feature importance, overfitting control, and bias-variance management, XGBoost ensures reliable performance