CUSTOMER SUCCESS STORY

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.

$20M+
Fraud losses prevented

Fraudulent attempts identified and neutralised before losses occurred

1 day
New use cases

New analytical use cases deployed in a single day, without additional technology investment

19
Weeks to Value

Production deployment timeline, not years

Unified investigation
Cross-product patterns
Synthetic ID detection
Network visualization
Case management
Deterministic investigations
Proven results at scale
The Challenge

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.

The Solution

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 Bank Case Study Cover

Ally is a registered service mark of Ally Financial Inc.

Case Study

Complete analysis of Ally Bank's implementation.

PDF • 9 pages