The cybersecurity landscape is undergoing a significant shift due to the emergence of autonomous systems and artificial intelligence. As AI-powered attacks become more prevalent, traditional security approaches are no longer effective in keeping pace with the increasing volume, velocity, and complexity of threats. The cost of launching attacks is decreasing, while the sophistication and efficiency of these attacks are rising. This has led to a change in the calculus of threat activity, with state-aligned actors now posing a significant geopolitical risk that extends beyond the immediate target1. To address this, a new security paradigm is needed, one that incorporates AI-driven solutions to counter the evolving threat landscape. The introduction of initiatives like Project Perception aims to rethink security for the age of AI, acknowledging that the old approaches are no longer sufficient. This shift matters to security practitioners as they must adapt to the new reality of AI-powered threats to stay ahead of emerging risks.