Scaling payment systems with real-time fraud detection

Modern payment systems are no longer just about moving money. They’re powering real-time fraud detection, AI-driven decisioning, and risk analytics, all while processing massive transaction volumes with zero tolerance for downtime. With fraud losses exceeding $12.5B in 2024 and regulations like DORA raising expectations for operational resilience, financial institutions must design payment architectures that can scale AI workloads without compromising on data correctness, security, and resilience.

In this webinar, Principal Sales Engineers Jim Hatcher and Shannon Dew walk through how to architect a payment system that supports high-throughput transactions, low-latency decisioning, and always-on AI fraud detection at global scale, all while meeting strict regulatory and performance requirements.

You’ll learn how to design for:

• Fraud detection: Vector search and indexing for real-time fraud detection at AI-ready scale 

• High transactional throughput: Handle sustained spikes in payment activity and AI inference with a horizontally scalable foundation

• Data consistency: Maintain ACID guarantees and a single source of truth across distributed systems powering fraud detection and payments

• Resilience and zero downtime: Ensure uninterrupted service and automatic failover to protect revenue and trust

• Data locality and compliance: Meet regulatory requirements like DORA and GDPR while delivering low-latency access globally