Scienaptic AI, a leading provider of AI-powered credit decisioning, announced that CommunityWide Federal Credit Union has selected its platform to enhance real-time fraud and anomaly detection to tackle the challenges of identity theft and synthetic identity fraud.
With the help of Scienaptic AI platform, CommunityWide Federal Credit Union aims to deploy a deeply integrated fraud and underwriting engine. This integrated engine aggregates multiple data sources and deploys cutting-edge machine learning and anomaly detection algorithms to create a powerful signal to detect fraud. Early detection of fraud is already yielding significant savings in fraud losses for Scienaptic clients.
“With fraud evolving rapidly, especially in identity and synthetic attacks, we needed a solution that could act in real time without compromising member experience,” said Andy Burggraf, President/ CEO of CommunityWide Federal Credit Union. “By leveraging FraudShield by Scienaptic AI, we can approve genuine members with confidence, while proactively identifying fraud before it enters our system. It’s a powerful step forward in delivering both security and service.”
“We’re proud to enable CommunityWide Federal Credit Union to strengthen fraud resilience without slowing down the member experience,” said Eric Steinhoff, EVP, Client Impact at Scienaptic AI. “With FraudShield, credit unions are able to detect anomalies in real-time, reduce friction, and approve more members confidently. This collaboration reflects our shared commitment to safe, inclusive, and efficient lending.”
