M...
Unlock Real-Time Fraud Detection with Supervised Machine Learning
Financial institutions face a relentless onslaught of fraud, with authorized push payment fraud (APPF) leading the charge. Globally, APPF accounts for 75% of all digital banking fraud, and losses are projected to skyrocket in the coming years. In this critical...
Transforming AML: Key Insights from ACAMS Hollywood 2024
In April, industry professionals from around the globe converged at the ACAMS conference in Hollywood, a gathering known for setting the agenda in the Anti-Money Laundering (AML) realm. This year’s event was no different, shedding light on the evolving challenges and...
Embrace the Future: 2024 Financial Crime Predictions Unveiled!
AI & ML Integration in the Anti-Financial Crimes Ecosystem Firstly – there’s a growing emphasis on the application of AI and ML within the anti-financial crime ecosystem, aligning closely with data governance. While organizations recognize the benefits that AI...
Triforce: The convergence of Fraud, AML and Cyber Security
The past It has long been the case that Fraud Prevention, Anti Money Laundering and Cybersecurity are separate solutions with their own specific use cases that they address. Fraud Prevention has somewhat sat between the two trying to take the best from both sides, but...
