AWS KYC Processing System with Fraud Detection

A scalable Know Your Customer (KYC) processing system built on AWS infrastructure, featuring document processing, secure storage, and AI-powered fraud detection using Amazon Bedrock.

Features

• Secure document storage in S3 with server-side encryption
• Automated KYC document processing using AWS Lambda
• Real-time fraud detection powered by Amazon Bedrock
• RESTful API endpoint through API Gateway
• Metadata storage in DynamoDB
• Infrastructure as Code using Terraform
• Comprehensive error handling and logging

Architecture

The system consists of several key components:

• S3 bucket for secure document storage
• DynamoDB table for KYC metadata
• Lambda function for document processing
• API Gateway for REST endpoint exposure
• Amazon Bedrock for AI-powered fraud detection
• Multiple AI models for comprehensive analysis:
  • Anomaly Detection
  • Pattern Recognition
  • NLP for Text Analysis
  • Behavior Analysis

Prerequisites

• AWS Account with appropriate permissions
• Terraform >= 0.12
• Python >= 3.9
• AWS CLI configured
• Boto3 Python SDK
• Access to Amazon Bedrock service

Installation

1. Clone the repository
2. Install dependencies:

pip install boto3 requests

3. Initialize Terraform:

terraform init

4. Deploy the infrastructure:

terraform plan
terraform apply

Configuration

1. Update the S3 bucket name in terraform.tf:

resource "aws_s3_bucket" "kyc_documents" {
  bucket = "your-kyc-documents-bucket"
}

2. Configure environment variables:

export API_URL="your-api-gateway-url"

Usage

1. Upload KYC documents:

import boto3
s3_client = boto3.client('s3')
s3_client.upload_file('document.pdf', 'your-kyc-documents-bucket', 'user_id/document.pdf')

2. Process KYC verification:

response = call_kyc_api(user_id="user123", document_id="doc123")