Always ahead:
Building the safest
Digital bank in America
From reactive to proactive.
In the past, financial crime investigations required manually piecing together data across multiple systems and product lines. It worked, but it was slow and reactive. Ally wanted to do more and do it faster.
That world is behind Ally. Today, intelligence drives every action the organization takes. DataWalk analyzes hundreds of millions of data points every day to surface suspicious patterns and turn them into clear, actionable alerts. These alerts guide analysts directly to what matters - enabling faster investigation, informed decisions, and earlier intervention to prevent fraud and emerging threats.
This transformation, powered by DataWalk, is not just visible - it’s measurable: ~$20M of fraudulent attempts were made and identified by DataWalk for necessary loss mitigation and regulatory obligations.
DataWalk allowed us to bring all of our data together in one place, standardize it for the first time, and finally run true cross-business-line analysis. Before that, we were completely siloed.
Brian La Rose
Senior Director of Technology at Ally
Ally is a registered service mark of Ally Financial Inc.
Proven Results at Scale
DataWalk's impact at Ally Bank demonstrates the transformative potential of unified graph analytics for financial crime prevention.
Fraudulent attempts identified and neutralised before losses occurred
New analytical use cases deployed in a single day, without additional technology investment
Production deployment timeline, not years
Legacy Systems Couldn't Keep Pace
As one of the largest digital-first banks in the U.S., Ally faced an escalating threat landscape. Traditional investigation methods were fragmented, reactive, and too slow.
Synthetic Identity Fraud
Sophisticated actors creating fake identities using combinations of real and fabricated information.
Siloed Data Systems
Critical fraud signals scattered across disconnected banking products and databases.
Reactive Response Model
Investigations triggered only after losses occurred, missing prevention opportunities.
Coordinated fraud networks
Bot-driven applications exploiting speed advantages over manual review processes.
Purpose-Built for Financial Crime
Ally Bank deployed DataWalk to create a unified, intelligent investigation platform. The result: a comprehensive fraud knowledge graph connecting billions of data points.
Knowledge Graph
Connected data revealing hidden relationships and fraud patterns invisible to traditional analytics.
Proactive Protection
Shift from reactive investigation to predictive prevention, stopping fraud before losses occur.
Access the Full Story
Download detailed resources or speak with our team to learn how DataWalk can transform your fraud prevention capabilities.
Ally is a registered service mark of Ally Financial Inc.
Case Study
Complete analysis of Ally Bank's implementation.
PDF • 9 pages