Solution Accelerator
Fraud Detection
AI-powered fraud detection that identifies suspicious transactions, anomalous behaviors and emerging fraud patterns in real time while supporting explainable investigation workflows.
Business Challenge
Increasing Fraud Activity
Fraud schemes continuously evolve, making traditional rule-based detection increasingly difficult to maintain.
High False Positives
Excessive alerts create operational burden and reduce investigator effectiveness.
Real-Time Requirements
Fraud must often be detected within seconds to prevent financial loss and customer impact.
Business Value
Reduce fraud losses
Improve detection accuracy
Lower false positives
Accelerate investigations
Fraud Detection Workflow
Demo Video
Reference Architecture
Technology Stack
AWS Bedrock
Amazon S3
FastAPI
Next.js
PostgreSQL
Python
Machine Learning Models
OpenSearch
Docker
Production Considerations
Governance & Compliance
- Explainable fraud scoring
- Case management workflows
- Audit logging and traceability
- Regulatory reporting support
Scalability
- Real-time transaction scoring
- High-volume event processing
- Model monitoring and retraining
- Multi-channel fraud detection
Interested in Fraud Detection?
Explore how AI can identify suspicious activity, prioritize investigations and help reduce fraud losses while improving operational efficiency.
Schedule a Discussion