DataVisor, the AI-driven fraud and risk platform, has teamed up with digital banking solution provider VeriPark to roll out a seamless, embedded fraud protection system for credit unions in Canada. Early adopters include Beem Credit Union, one of the nation’s largest and most innovative financial cooperatives.

The collaboration integrates DataVisor’s AI-powered fraud platform and advanced device intelligence directly into VeriPark’s digital banking ecosystem. This allows credit unions to deploy real-time fraud protection without complex IT workarounds, speeding adoption while easing operational burdens and enhancing member experiences across online and mobile channels.

According to DataVisor’s 2025 Fraud and AML Executive Report, 75% of financial institutions admit that fraudsters are outpacing them with AI. The new VeriPark-DataVisor partnership addresses that gap with AI Agents, an ensemble of machine learning models and device intelligence designed to detect and block threats such as account takeovers and unauthorized money transfers.

“Security and trust are non-negotiable as credit unions digitize,” said Yinglian Xie, CEO of DataVisor. “By embedding our fraud protection directly into the transaction flow, credit unions like Beem can safeguard members without adding friction.”

Barry Frame, Chief Revenue Officer at VeriPark, added, “Credit unions need scalable solutions to tackle increasingly sophisticated threats. Our partnership ensures AI-powered protection is built into the banking experience, allowing institutions to focus on growth and member engagement.”

Beem Credit Union, managing $17 billion in assets and serving 193,000 members, is already leveraging the joint solution. CEO Brian Harris explained that the integration strengthens key digital touchpoints, providing advanced fraud defenses while maintaining the user-friendly experience members expect.

The VeriPark-DataVisor collaboration represents a broader trend of embedding AI-driven security directly into digital banking platforms, reducing reliance on patchwork solutions and helping financial institutions stay ahead of adaptive fraud tactics. By combining machine learning, device intelligence, and real-time analytics, credit unions can enhance member trust while accelerating their digital transformation.