Blog

Data Without Borders: Modernizing Fraud Detection with Intelligent Infrastructure

Data Without Borders: Modernizing Fraud Detection with Intelligent Infrastructure

Today’s fraudsters aren’t working in silos, and neither should your infrastructure. 

As attack vectors grow more sophisticated and distributed, the demands on financial institutions’ fraud detection systems have evolved dramatically. Real-time response is no longer aspirational, it’s now a baseline expectation. But even the most advanced models can only be as fast and effective as the infrastructure supporting them. The problem? Most data pipelines in fraud prevention are still fragmented, latency-prone, and optimized for yesterday’s workloads. That’s why organizations are turning to DDN’s Data Intelligence Platform, a high-performance foundation built to unlock AI, analytics, and real-time detection at enterprise scale. 

Why Modern Fraud Workflows Break Traditional Infrastructure 

Financial crime teams today are dealing with multi-modal data: streaming transactions, clickstreams, video, behavioral logs, third-party signals, and more. These must be ingested, tagged, correlated, and analyzed, often within milliseconds. 

Legacy storage systems and ETL-heavy workflows introduce friction. Siloed architectures require data replication and delay inference. Compliance processes rely on batch operations that can’t keep up with real-time attacks. And increasingly, fraud models are deployed across hybrid environments, cloud, edge, and on-prem, creating a fragmented and brittle data landscape. 

Infrastructure That Moves with the Threat 

The DDN Data Intelligence Platform is purpose-built to support every stage of the fraud detection lifecycle, from real-time ingest and intelligent tagging to low-latency inference and governed insight sharing. It gives fraud teams the ability to run AI models at scale, search petabyte-class datasets instantly, and act on real-time risk signals without duplicating data, reformatting for different systems, or compromising performance—no matter where the data lives. 

IndustrySync™: Real-Time Fraud Response Without the Complexity 

The real breakthrough for financial institutions lies in IndustrySync™, a built-in service that synchronizes data events and pipelines across your entire architecture—cloud, co-lo, edge, and core. 

With IndustrySync, your fraud detection pipeline becomes proactive, not reactive. Imagine: 

  • A suspicious transaction hits your mobile platform and is instantly tagged and routed to your cloud-based model for scoring. 
  • If flagged, a case is opened and synced back to your case management system in the core. 
  • Simultaneously, a compliance audit trail is generated and stored for review. 
  • All of this happens automatically, with no lag, no duplication, and no manual orchestration. 

IndustrySync eliminates the “detection delay” window, aligning data movement with risk logic. It acts as the connective tissue between detection, analytics, and governance—giving fraud teams real-time situational awareness and control. 

Real-Time Risk Response for Financial Security Teams 

DDN empowers financial institutions to move beyond static alerting into a dynamic, real-time risk operating model, eliminating silos and accelerating insight across cloud, edge, and co-lo environments. 

  • Sub-millisecond latency from data ingest to AI inference 
  • Reduced false positives, improving threat accuracy 
  • Faster time-to-case resolution with AI-optimized pipelines 
  • Simplified audit and compliance via built-in metadata tracking 
  • Global scalability to unify structured and unstructured data 

Built-in support for S3, GCS, POSIX, SQL, and CSI ensures seamless integration with any workload, future-proofing your financial security infrastructure.  

Build a Smarter Fraud Defense 

Fraud is getting faster. The infrastructure defending against it must be even faster. and smarter. Visit our website to learn how DDN is helping global institutions modernize fraud detection, unify their data pipelines, and act on threats in real time, at any scale. To learn more, download the whitepaper.   

Last Updated
Apr 10, 2025 4:42 AM