This solution sheet shows fraud leaders how the DataVisor AML platform:
Thank you! A confirmation email with the content download link will be sent to you shortly.
As the finaicial world has become cenetered on faster payments and digital-first customer experiences, fraudsters’ attacks are more sophisticated and damaging than ever. Of course, with any kind of crime comes money laundering, as criminals need a legal way to access their funds. This intersection of fraud and AML is where DataVisor’s modern end-to-end anti-money laundering (AML) solution shines bright. Offering a unified fraud and anti-money laundering (FRAML) approach, the solution boasts cutting-edge technology and comprehensive functionalities powered by sophisticated machine learning and AI. Increasing regulatory compliance requirements and ever more complicated financial fraud vectors face all modern FIs. This essential solution stands out by covering the entire AML workflow, reducing false positives through increased efficiency, and centralizes data in one place while fitting seamlessly into customers’ current workflows.
While numerous AML vendors discuss harnessing AI to enhance AML procedures, DataVisor stands out as an industry pioneer, boasting a proven track record in utilizing generative AI to significantly curtail false positives and elevate automation levels. In this solution sheet, you’ll see first hand why DataVisor’s AML platform is a revolutionary new solution for FIs to address the challenges of both fraud and AML compliance.
About DataVisor
DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
DataVisor is the world’s leading fraud and risk management platform that enables organizations to respond to fast-evolving fraud attacks and mitigate risks as they happen in real time. Its comprehensive solution suite combines patented machine learning technology with native device intelligence and a powerful decision engine to provide protection for the entire customer lifecycle across industries and use cases.