Generative artificial intelligence (AI) is rapidly transforming the cybersecurity landscape, compressing tasks that once required days of research and coordination into seconds. As a result, corporate cybersecurity has quickly evolved into a national policy concern, fueled in part by a new generation of security-focused AI known as the Mythos model. For decades, cybersecurity has operated along a familiar axis: time. Vulnerabilities were discovered, analyzed, patched and updated in a continuous cycle. The underlying assumption was simple: If defenders could identify weaknesses first, they could secure systems before attackers had the chance to exploit them. The Mythos model challenges that premise. As vulnerability detection, exploit generation and even execution become increasingly automated, cybersecurity is shifting from a question of thoroughness to one of speed. The prospect of attacks succeeding before defenders even recognize the threat is no longer theoretical — it is becoming a plausible reality. This shift matters because cyber incidents rarely stop at a single company. Mode
