FraudShield is a real-time, Agentic AI-driven fraud investigation platform purpose-built to transform how financial institutions, payment providers, and high-volume transaction businesses detect, analyze, and respond to fraudulent activities.

Unlike traditional fraud detection tools that stop at flagging suspicious transactions, FraudShield dives deeper with a multi-agent AI framework that automates investigation, enhances accuracy, and delivers intelligent, compliant fraud reports.

The system orchestrates specialized agents, each focusing on distinct tasks across the investigation lifecycle—ensuring real-time insights, reduced false positives, and improved operational efficiency.

Key components of the FraudShield architecture include:

• Fraud Intelligence Agent: Continuously monitors transaction streams, applies behavioral analysis, and integrates threat intelligence to identify anomalies

• Deep Investigation Agent: Validates suspicious transactions against historical data, user profiles, and geolocation using OpenStreetMap-based coordinates or AWS-native services

• Customer Reporting Agent: Leverages sentiment analysis to notify customers in real-time with empathetic, tailored responses

• Insights & Reporting Agent: Automatically generates fraud reports compliant with standards like GDPR and PCI DSS

• Fraud Prevention Agent (Optional): Proactively identifies vulnerabilities and simulates fraud scenarios to strengthen defense

This multi-layered approach ensures that only high-risk cases are escalated, false positives are minimized, and all stakeholders—customers, compliance officers, and fraud analysts—are equipped with actionable insights.

Target Customers:

• Financial Institutions: Banks, insurance companies, and digital lenders

• Payment Providers: Gateways, processors, and mobile wallet operators

• E-commerce & Digital Retailers: High-volume B2C platforms

• Healthcare and Telecom: Environments with complex, transactional fraud patterns.

AWS Services used:

• FraudShield is deployed on AWS using Amazon ECS, Bedrock, and other serverless components.

• It integrates seamlessly with transactional platforms via API and is scalable to support peak transaction volumes with high availability.

• Structured data is stored in DynamoDB, communications are handled via Amazon SES, and large-scale fraud reports are visualized and distributed securely.