Overview
Complete automation of Web Application Firewall management using Infrastructure as Code and CI/CD pipelines, applied to entry points of a SaaS platform with significant request volume.
Context
Manual WAF rule changes increased inconsistency risk and made review, audit and rollback harder. In a high-traffic environment, every change needed to be planned, tested and reversible. The need for continuous protection required security and engineering to work within the same workflow.
Challenge
Turn protection policies into automated and versioned changes without losing the traffic analysis, false positive evaluation and continuous protection evolution required for safe operation.
My role
- Protection architecture with AWS WAF
- Rule, policy creation, troubleshooting and evolution
- Traffic analysis and production impact assessment of rules
- Terraform, version control and CI/CD pipelines for WAF management
- Continuous protection evolution based on operational data
Architecture
The WAF layer protected the application entry point as the first defense barrier. Git, CI/CD and Terraform controlled configuration evolution, ensuring every change went through review before application. WAF logs integrated into the observability pipeline for behavior analysis and pattern detection.
Technical decisions
- Security as versioned code — not manual configuration
- Mandatory review before any rule application
- Standardization and repeatability as protection requirements
- Automatic rollback and reduced manual production changes
- Continuous traffic analysis to calibrate rules and reduce false positives
Security & governance
Security as Code bridged security and engineering, increasing traceability without replacing human technical validation. Every rule documented, versioned and reviewed before application. The combination of IaC and pipelines enabled complete audit history of protection changes.
Automation
Git, pipeline and Terraform formed a controlled workflow for WAF configuration review and application. Rule changes followed the same governance pattern as the rest of the infrastructure — versioning, review, pipeline and automated application.
Engineering challenges
WAF rules needed to balance protection and operational continuity. An overly restrictive rule could block legitimate traffic; an overly permissive one could compromise security. Log analysis and investigation of unintended effects were continuous processes, not point-in-time activities.
Results
- More auditable, repeatable and traceable WAF changes
- Greater consistency between protections applied across environments
- More efficient security and engineering operations integration
- Rollback capability and continuous rule evolution