AI has uncovered critical flaws in foundational web code, sparking fears of widespread automated attacks. However, initial hacking attempts leveraging these vulnerabilities have surprisingly yielded few successful breaches. This apparent reprieve is attributed to the inherent difficulty in exploiting the discovered bugs. The proactive defense efforts by many companies have also likely contributed to this outcome. Researchers liken the situation to the Y2K phenomenon, where warnings spurred timely solutions. Despite this lucky break, the threat of AI-powered hacking remains significant, with the potential for new attacks to emerge rapidly. The future of cybersecurity will be defined by resilience, emphasizing quick detection, containment, and recovery. Companies are advised to reinforce basic security principles like multi-factor authentication and develop robust recovery plans. Proactive system testing for weaknesses is also crucial to avoid being caught unprepared. The recent "Black October" saw multiple AI-discovered flaws and breaches, highlighting the escalating threat. While current vulnerabilities are hard to exploit, AI broadly makes finding and using weaknesses easier. Ultimately, surviving the AI cyber era requires companies to use this grace period to strengthen fundamental defenses and prepare for future, more successful attacks.