Case Study: SLA Digital achieves faster, more affordable fraud detection with Amazon Web Services

SLA Digital Shapes the Future of Secure Transactions with Amazon Fraud Detector

SLA Digital was looking for a fraud detection solution that would not require heavy investment in machine learning expertise. Using Amazon Web Services’ Amazon Fraud Detector, the company aimed to add a transparent, pay-as-you-use tool to its existing setup while improving security for its digital transactions.

Amazon Web Services implemented Amazon Fraud Detector, which automatically trains machine learning models with a single configuration. This cut SLA Digital’s fraud model development time from months to weeks, while also supporting data-driven operations with AWS services like Amazon QuickSight, Amazon S3, Amazon Redshift, and Amazon EBS.

SLA Digital

Richard Fisher

Head of Technology