A new AI system, HTTP Terminator, has successfully identified and exploited hundreds of websites vulnerable to HTTP request smuggling, and even discovered a novel class of vulnerability known as "shared-parser confusion." Notably, this was achieved under the guidance of a human researcher from PortSwigger, who carefully designed and directed the AI's efforts. The human operator posed specific questions, filtered out weak responses, and applied anomaly detection techniques to refine the AI's findings. This collaborative approach highlights the importance of human oversight and expertise in AI-driven security research1. The discovery of shared-parser confusion, in particular, underscores the potential for human-amplified AI systems to uncover complex and previously unknown vulnerabilities. This development matters to security practitioners because it demonstrates the value of combining human intuition and AI capabilities to stay ahead of emerging threats and improve overall defense postures.