DevSecOps & Cloud Security
Defend AWS web applications from AI bots and LLM scraper traffic
Explore practical strategies for defending AWS web applications against AI bots and LLM scrapers. Learn to analyze traffic, deploy secure infrastructure, and implement adaptive policies that keep your systems resilient and efficient.
Starweaver | Jun 2026 | 222 min
What You Will Learn
You will build and secure a cloud environment step by step, starting with threat modeling and environment setup. Through hands-on labs, you'll work with real AWS tools, analyze traffic patterns, and apply advanced WAF rules. Each section builds practical skills for detecting, routing, and mitigating bot threats in production systems.
Key Features
- Deploy and manage AWS security layers using Terraform, CloudFront, WAF, and more
- Identify and mitigate AI bot traffic with advanced routing and real-time analysis
- Apply data-driven policies to enforce protection and maintain application reliability
Target Audience
This course is designed for DevOps engineers, SREs, cloud architects, security engineers, and technical leaders who manage AWS infrastructure. If you're responsible for production reliability, security, or performance and want to strengthen your defenses against automated threats, you'll find actionable skills and strategies here.
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