π‘ Real-Life Example
Imagine you run a web app on ALB or CloudFront. Suddenly, a botnet floods your /login endpoint with thousands of fake login requests per second.
Without this new feature:
You wouldβve had to analyze logs, manually create WAF rules, and deploy mitigations β usually too late.
With this new update:
β WAF automatically:
- Detects the traffic anomaly
- Applies CAPTCHA challenges or blocks malicious requests
- Keeps your service stable and available
π§ How It Works
- Baseline Learning: WAF observes your traffic and learns normal behavior patterns.
- Detection: If something spikes β like login abuse, slow POSTs, or odd User-Agents β it gets flagged.
- Mitigation: WAF applies auto-generated rules to block or challenge the traffic instantly.
All of this happens without any manual configuration β although you can still customize responses.
π§ Where You Can Use It
This protection works with:
- π Amazon CloudFront
- βοΈ Application Load Balancer (ALB)
- πͺ API Gateway, App Runner, AWS Cognito, and more
π§ Benefits Youβll Love
- β Zero config to get started (just enable the managed rule group)
- π§ ML-based detection means smarter responses
- β±οΈ Near-instant protection = less downtime
- πΌ Ideal for SREs and Cloud Security Engineers who need peace of mind
π£ TL;DR
AWS WAF now detects and blocks Layer 7 DDoS attacks automatically using machine learning β with zero disruption, no manual effort, and instant response. π―
π¬ Are you already using AWS WAF in production? What types of attacks have you faced at L7?
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