Wipro Intelligent Financial Fraud Detection (IFFD) Solution with AWS
Wipro developed the Intelligent Financial Fraud Detection (IFFD) solution in collaboration with AWS to enhance real-time fraud detection, addressing increasing fraud and scams such as elder financial exploitation. IFFD uses deep learning, behavioral analysis, and real-time monitoring with Amazon SageMaker for model inference, Amazon ECS for orchestration, and Amazon RDS for case management, integrating securely with existing banking systems. The solution provides model explainability for regulatory compliance and targets a false positive rate under 5%, improving fraud detection accuracy and customer trust while enabling gradual modernization of fraud platforms.
- Organization
- Wipro
- Industry
- Finance
- Location
- United States
- Published
- October 2024
Reported outcomes
−95%
quantified impactQuality & accuracy
Strategic outcomes
Primary read
Use case focus
Showing 3 of 3
- 1Financial Fraud Detection
- 2Behavioral Analytics
- 3Explainable AI
- Rising financial fraud and scams, including elder financial exploitation, which current fraud detection systems fail to detect effectively in real time.
- Limitations of traditional rule-based detection and lack of integration across multiple data sources.
- Need for compliance and auditability through explainable AI models.
- Implemented IFFD leveraging AWS AI/ML technologies like Amazon SageMaker for deep learning and inference, ECS for scalable orchestration, and RDS for secure case management data storage.
- The AI models analyze transaction and behavioral patterns to predict fraud and send real-time alerts for verification.
- The system integrates via secure APIs with existing banking fraud management platforms for a modular upgrade approach.
- Significant reduction in false positives by over 95%, minimizing customer friction.
- Improved real-time fraud detection accuracy, especially against elder exploitation scams.
- Strengthened regulatory compliance and auditability with explainable AI.
- Enabled progressive modernization of legacy fraud detection infrastructure.
Architecture
The IFFD solution architecture includes a secure AWS account connecting to transaction data, API endpoints receiving transaction details, orchestration services running on Amazon ECS, fraud detection models served via Amazon SageMaker, and relational database storage on Amazon RDS. Integration is secured and interfaces with existing case management systems.
Sources & evidence2
The same organization appears in newer AI deployment evidence.
- Same organization re-documented as recently as 2025.
Measures whether this deployment's public evidence persists — not whether the system is still in production.
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