5.7Key Takeaway

Semantic fuzzing combines AI's understanding of vulnerability patterns with systematic endpoint testing. Unlike random fuzzing, it generates payloads that are structurally plausible but designed to trigger specific vulnerability classes. The anomaly detection layer automatically flags responses that indicate potential issues, reducing the manual triage burden.