The rapid publication of a PoC for the critical NGINX vulnerability just days after its patch suggests the use of AI-accelerated binary diffing and fuzzing. Threat actors are now using large language models (LLMs) and specialized 'AI-for-Exploitation' tools to reverse-engineer patches and identify the underlying logic flaws in record time. This 'compressed disclosure window' puts immense pressure on IT teams to patch within hours, not days. The NGINX flaw, which existed since 2008, was likely uncovered by an automated scanner capable of analyzing legacy codebases for patterns that modern compilers might overlook. This represents a shift where AI is not just writing malware, but acting as a high-speed vulnerability researcher, significantly tilting the scales in favor of the attacker.