ABOUT THE COMPANY
TowerLoan is a leading financial services provider offering personal loans and flexible credit solutions to customers across multiple regions. With thousands of daily applications processed through their digital channels, TowerLoan requires reliable, secure, and scalable systems to maintain customer trust and operational efficiency.
As the company grew, the rise of sophisticated identity fraud and suspicious application patterns created an urgent need for automated, intelligent fraud detection.
THE CHALLENGE
TowerLoan faced significant operational and security challenges:
Increasing fraud attempts, including identity theft and synthetic profiles
Manual verification processes causing delays and inconsistencies
No real-time scoring or automated decision workflow
Limited visibility into suspicious behavior and risk trends
High financial exposure due to delayed or missed fraud indicators
TowerLoan needed a solution that could analyze loan applications instantly, detect fraud patterns accurately, and scale seamlessly as the business expands.
THE RSNA CLOUD CONNECT APPROACH
RSNA Cloud Connect partnered closely with TowerLoan to redesign their fraud detection workflow using an AWS-native, machine learning–powered architecture.
Our strategic approach included:
1. Comprehensive Discovery
Understanding TowerLoan’s datasets, fraud patterns, business workflows, and compliance needs.
2. Cloud-First Architecture Design
Developing a secure, scalable AWS blueprint centered around Amazon Fraud Detector and AI/ML services.
3. Real-Time Automation
Building a fully automated scoring pipeline to evaluate loan applications in seconds.
4. Seamless Integration
Connecting the fraud detection engine to TowerLoan’s existing digital platform via secure APIs.
5. Compliance and Security First
Aligning the entire deployment with financial regulatory standards and AWS security best practices.
THE SOLUTION
RSNA Cloud Connect delivered a fully automated, high-accuracy Fraud Detection System empowered by AWS machine learning.
Key Solution Components
Amazon Fraud Detector – Custom fraud models trained on historical risk patterns
AWS Lambda – Serverless functions for real-time scoring logic
Amazon S3 – Secure, encrypted storage for datasets and logs
DynamoDB – High-speed storage for fraud scores and risk history
API Gateway – Secure integration layer for frontend and backend systems
CloudWatch – Monitoring, alerts, and operational insights
Business Impact
40–60% improvement in fraud detection accuracy
Instant fraud scoring for every loan application
Significant reduction in fraudulent approvals
Faster and more reliable loan decisions
Centralized visibility into fraud trends
A scalable foundation for future AI enhancements
LOOKING AHEAD
TowerLoan plans to expand its fraud intelligence capabilities with RSNA Cloud Connect, including:
Advanced ML pipelines via Amazon SageMaker
Document verification automation using Amazon Textract
Behavior-based risk engine for repeat customers
Enhanced analytics dashboards for real-time monitoring
RSNA Cloud Connect continues to support TowerLoan in strengthening security, reducing financial risk, and building a safer loan ecosystem powered by AWS innovation.