Industry
Client Overview
Our client is a global payments company that processes billions of dollars in transactions every year. They were struggling with a high rate of fraud, which was costing them millions of dollars in losses.
Client Testimonial
"CIS has been a game-changer for our business. Their AI-powered fraud detection system has helped us to save millions of dollars in losses. They are the best in the business." - COO, Global Payments Company
Problem
The world of online payments is a dangerous place. Fraudsters are constantly developing new and sophisticated ways to steal money. Our client's existing fraud detection system was not able to keep up.
Key Challenges
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01
Omnichannel Fraud Vectors : Detecting and preventing a wide range of fraudulent activities, from account takeovers to payment fraud.
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02
False Positive Reduction : Reducing the number of false positives, which can be frustrating for legitimate customers.
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03
High-Volume Enterprise Scalability : Scaling the system to handle a high volume of transactions.
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04
Stringent Data Security Standards : Complying with a variety of industry regulations, including PCI DSS.
Our Solution
Strategic Mitigation Architecture : We worked with the client to develop a comprehensive fraud detection strategy.
Real-Time Machine Learning Models : We designed and developed a custom-built fraud detection system that was powered by a variety of AI models, including a machine learning model that could identify and flag suspicious transactions in real-time.
Gateway Core Integration : We integrated the system with the client's existing payment gateway.
SecOps Monitoring Dashboards : We developed a dashboard that allowed the client's fraud team to monitor and investigate suspicious transactions.
Implementation & Execution
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Historical Data Analysis
We started with a data analysis phase to identify the most common types of fraud.
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Supervised Model Training
We used a supervised learning approach to train our machine learning model on a large dataset of historical transactions.
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False Positive Optimization
We worked closely with the client's fraud team to fine-tune the model and to reduce the number of false positives.
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Phased Rollout Strategy
We deployed the system in a phased approach, starting with a small number of merchants and then gradually rolling it out to all merchants.
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Continuous Feedback Loops
We continue to monitor and improve the system on an ongoing basis.
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Performance Metrics Audits
We provide the client with regular reports on the system's performance.
Positive Outcome
1. Immediate Financial Recovery
The client was able to reduce their fraud losses by over 70%.
2. Frictionless User Experiences
The client was able to reduce the number of false positives by over 50%.
3. Airtight Compliance Standings
The client was able to improve their compliance with PCI DSS.
4. Elevated Customer Satisfaction
The client was able to improve their customer satisfaction.
Why Choose Us
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Specialized Fraud-Fighting Experts
We have a deep understanding of the world of online fraud.
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Advanced AI Model Architecture
We have the expertise to build sophisticated fraud detection models.
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Zero-Latency Real-Time Systems
Our systems can detect and prevent fraud in real-time.
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Enterprise-Grade Scalable Code
Our systems can handle a high volume of transactions.
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Regulatory & Security Compliance Mastery
Our systems are compliant with all major industry regulations.
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Collaborative Software Integration
We'll work with you to build a solution that meets your needs.
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Data-Driven System Optimization
We use data to make informed decisions.
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Transparent Engineering Metrics
We'll keep you in the loop every step of the way.
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Guaranteed Reduction Metrics
We're confident that we can help you to reduce your fraud losses.
Conclusion
This case study is a powerful example of how AI can be used to fight fraud and to protect businesses and consumers. If you're looking for a partner who can help you to win the war against fraud, we're the team you need.