Threat actors are leveraging artificial intelligence to automate entire attack phases, significantly reducing the time from initial access to deep environment compromises. This shift towards AI-powered breaches is undermining enterprises' efforts to improve detection and response times. By utilizing large language models (LLMs) to power agents, attackers can orchestrate attacks at unprecedented speeds and scales. The increased velocity of these attacks is severely limiting the window for incident response, making it essential for organizations to reassess their security strategies. The use of AI in attacks is no longer a theoretical concern, but a present-day reality that demands attention1. This development matters to security practitioners because it necessitates a fundamental transformation in incident response approaches to keep pace with the accelerating threat landscape.