Since 2018, we've been at the forefront of using supervised AI models for fraud prevention in Financial Crime Prevention (FCP). Our advanced models analyze complex data inputs in real-time to block suspicious transactions effectively.
Key to this process are Profiles—sophisticated data constructs created using expert knowledge of fraud scenarios. These Profiles not only enhance the performance of our AI models but also ensure they remain transparent and explainable.
Trust in our innovative approach to keep your financial transactions secure and fraud-free. Discover the future of financial crime prevention with us.
AI in Fraud Detection
Fraud is categorized into:
- Card Fraud: The theft of physical cards or card information.
- Account Fraud: Identity theft involving the stealing of personal information.
One key advantage in fighting fraud is the presence of victim reports. Since fraud victims typically report the crime, supervised AI models can be effectively trained on these reported cases accurately identify and prevent similar incidents. This allows us to accurately identify and prevent similar fraudulent activities, ensuring better protection for your financial assets. Due to their reporting nature, fraud cases are well-suited for supervised AI models.
AI in Anti-Money Laundering
In contrast, Money Laundering operates under a veil of secrecy. Money launderers do not report their activities, making detection much more complex. Unlike fraud, ML cannot be tackled using only supervised AI techniques.
To effectively combat ML, we utilize a combination of unsupervised learning and generative AI (GenAI). These advanced techniques allow us to detect hidden patterns and anomalies, even in the absence of explicitly labeled data. This robust approach enables us to uncover sophisticated ML schemes that traditional methods would miss.
At our company, we harness the power of AI to provide comprehensive, cutting-edge solutions for detecting and preventing financial crimes. Join us in making financial ecosystems safer and more secure for everyone.
