Oscilar announced that Payoneer, the global financial technology company powering business growth across borders, has selected it to help modernize the company's fraud and risk intelligence across its core payment systems. By integrating Oscilar's AI and machine-learning infrastructure, Payoneer aims to strengthen its fraud prevention capabilities through predictive analytics and intelligent automation. Oscilar's AI Risk Decisioning™ platform is designed to enhance threat detection, speed up model iteration, and adapt in real time to emerging fraud patterns across Payoneer's global digital payments network. 

This integrates AI as a foundational part of Payoneer's risk operations and infrastructure by using machine learning to drive data-driven decisioning across its global fintech ecosystem. By shifting to AI driven fraud prevention, Payoneer can deliver autonomous, scalable controls for detecting and preventing fraud while enabling a frictionless, personalized experience for customers, aiming to position the company as a leader in cross-border digital payments. 

Payoneer's platform supports millions of SMBs, marketplaces, and freelancers around the world, using sophisticated risk management infrastructure that leverages machine-learning-based fraud typologies to address the unique challenges of digital commerce. Its global risk platform supports tens of billions of dollars in volume across more than 7,000 trade corridors and millions of participants worldwide.

"We're investing in intelligent fraud detection infrastructure designed for our scale and customer diversity," said Micheal Sheehy, Chief Compliance Officer, Payoneer. "Oscilar's AI architecture empowers us with the agility to rapidly iterate our models, leverage continuous machine-learning capabilities, and orchestrate complex risk strategies across our diverse payment ecosystems."