Plaid has introduced its next generation fraud detection model, Plaid Protect, which utilizes device fingerprints and the extensive Plaid network to enhance fraud identification. The model claims to identify 40% of first-party fraud that previous models missed and features a natural language query interface for analysts to efficiently search user data. Users are eager to see its performance as it moves beyond the waitlist phase.

Leading financial institutions are leveraging Redis to enhance mobile banking experiences, detect fraud in real-time, and improve customer service through AI-driven chatbots. By utilizing Redis for caching, session storage, and as an online feature store, banks can achieve faster transactions, streamline fraud detection processes, and enhance overall customer engagement. The integration of Redis allows these institutions to meet growing consumer demands while efficiently managing increasing data volumes and threats.