Last week, a critical zero-day vulnerability was disclosed affecting millions of websites. Within minutes, our WAF had already detected and blocked exploitation attempts.
Timeline
- 14:32 UTC - Vulnerability disclosed
- 14:35 UTC - First exploitation attempts detected
- 14:38 UTC - Automatic rule deployed globally
- 14:45 UTC - 100% of attack traffic blocked
How We Did It
Our machine learning-based threat detection identified anomalous patterns in request payloads before the CVE was even published. This proactive approach means our customers were protected before they even knew there was a threat.
Lessons Learned
Zero-day protection requires a multi-layered approach combining signature-based detection, behavioral analysis, and machine learning. Our WAF combines all three.