A cyberattack on the Taiwanese government, attributed to suspected Chinese hackers, marks the first known instance of a "near-autonomous" AI-powered assault on a government target. This attack, which leveraged open-source AI models, resulted in the extraction of over 2,500 personnel records and other sensitive data. Notably, the attackers configured the framework to adapt and evolve during the operation without requiring human intervention1. The use of autonomous AI in this context signifies a shift in the threat landscape, as state-aligned actors increasingly adopt advanced technologies to further their geopolitical objectives. This development necessitates a revised threat model, one that accounts for the unique characteristics and implications of AI-driven attacks. The fact that AI can now be used to execute sophisticated, self-modifying attacks has significant implications for cybersecurity practitioners, who must now consider the potential for adaptive, autonomous threats in their defense strategies.