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Build a production-ready AWS security scanner that automatically detects S3 bucket misconfigurations. You'll set up Python virtual environments, configure AWS credentials with IAM, and write boto3 automation to audit cloud infrastructure. Perfect for beginners looking to break into cloud security and DevOps.

This hands-on tutorial walks you through creating a real security tool used by cloud engineers. You'll learn AWS CLI configuration, Python dependency management, and how to fix security vulnerabilities using AI-powered automation with Cursor and AWS MCP. By the end, you'll have working code for your portfolio that catches the same S3 exposure risks that cost Capital One $270 million.

What You'll Learn:

Set up AWS CLI and IAM credentials following security best practices
Create isolated Python environments with venv and install boto3
Write a security scanner that detects public S3 bucket exposure
Fix AWS vulnerabilities using natural language with Cursor's MCP integration
Understand API authentication and AWS SDK automation


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