Finastra taps FraudAverse to boost fraud protection in payments

By Vriti Gothi

Finastra has partnered with FraudAverse to deliver an artificial intelligence-driven fraud prevention capability for financial institutions using its Financial Messaging platform, as banks seek stronger protection against increasingly sophisticated payment fraud.

Under the collaboration, FraudAverse’s platform will be pre-integrated into Finastra’s financial messaging infrastructure, enabling banks to detect and prevent fraudulent transactions in real time while supporting high-volume and instant payment environments. The companies say the solution is designed to help financial institutions identify both known and emerging threats while reducing the operational burden associated with manual investigations.

As digital payment volumes continue to grow, financial institutions face mounting pressure to monitor transactions across multiple payment rails while maintaining low latency and operational efficiency. The integration aims to address these challenges by using AI-driven detection models to flag suspicious activity instantly and automate parts of the fraud analysis process.

“As payment volumes grow and fraud tactics become more sophisticated, financial institutions must tap into robust, cloud-ready prevention solutions,” said Stephanie Mitchell, Director of Product Management, FMM at Finastra. “Working with FraudAverse enables us to bring a flexible offering to banks which is optimized for today’s fast-moving payments landscape. We expect many of our customers will opt to make use of this pre-integrated solution.”

“Financial Crime prevention is a critical priority for financial institutions worldwide,” said Constantin von Altrock, CEO at FraudAverse. “Our collaboration with Finastra combines advanced AI technology with seamless integration, empowering customers to protect their transactions in real-time and with confidence.”

According to the companies, the FraudAverse platform uses AI-based monitoring systems designed to identify anomalous transaction behaviour and block fraudulent payments in real time. The technology is intended to support instant payment systems by providing rapid decision-making capabilities while maintaining compatibility with multiple financial messaging formats.

By embedding fraud detection directly into the financial messaging workflow, the partnership aims to give banks faster access to threat intelligence and improve operational efficiency. The move also reflects a wider trend in the financial services sector toward integrating AI-based fraud prevention tools directly within payment infrastructure as institutions adapt to rising transaction volumes and evolving financial crime risks.