AI-Powered Fraud Detection for FinTech
"Global Payment Processor"
Technical Frameworks
Methodologies Opted
Project Overview
A leading global payment processor was losing millions annually to fraudulent transactions. They needed a real-time system to detect and prevent fraud without impacting legitimate transactions.
The Challenge
The client was operating with rule-based fraud detection yielding only 60% accuracy and high false positive rates blocking legitimate transactions. Their legacy system couldn't scale to billions of daily transactions.
Our Solution
- •Conducted comprehensive audit of transaction data and fraud patterns
- •Built ensemble machine learning model combining gradient boosting and neural networks
- •Implemented real-time inference pipeline processing 100k+ transactions/second
- •Created feedback loop automatically retraining models weekly
- •Deployed on Kubernetes with 99.99% uptime SLA
Key Outcomes
Results
"The AI-powered system immediately reduced fraud loss by 85%, enabling the client to expand to new markets with confidence. The system continues learning and improving, now handling billions of transactions annually."
Tech Stack Authority
Related Services
AI/ML Learning & Automation
Embed intelligence into your operations
Use AI and ML to automate repetitive tasks, uncover insights from complex data and enable predictive decision-making.
Data Solutions & Governance
Turning raw data into trusted intelligence
Design, secure and govern enterprise data ecosystems so data is accurate, trusted and accessible for analytics, AI and decision-making.