The Complete Guide to AWS LLM Bot Protection with WAF and CloudFront. Protect your infrastructure against AI bots DoS
Sub Category
- Software Engineering
{inAds}
Objectives
- How CloudFront caching works and how to build intelligent, bot-aware delivery flows
- How to implement degraded-content / traffic-splitting strategies using CloudFront, Lambda@Edge, and S3
- How to separate cache for bots vs humans using CloudFront Functions
- How to eliminate “missing assets” issues using immutable asset deployments
- How to deploy and tune CloudFront Origin Shield
- How to analyze CloudFront logs using Athena for bot and traffic insights
- How to configure AWS WAF to be defensive against bots DoS (IP sets, GEO rules, rate rules, managed rules)
- How to use JA4 fingerprinting for advanced rate-limit funnels
- How AWS WAF Bot Control really works (COMMON vs TARGETED modes)
- How to integrate the WAF client-side SDK to unlock advanced detections
- How to read and interpret Bot Control dashboards and labels
- How to build a real Bot Identification Report in Athena
- How to design, validate, and deploy a complete bot strategy (allow, block, degrade)
Pre Requisites
- IT IS NOT THE COURSE FOR BEGINNERS
- An active AWS account
- A domain name to use with CloudFront
- Good Terraform knowledge
- Good AWS knowledge
- Understanding of HTTP, web apps, or APIs
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
{inAds}
Coupon Code(s)