Frontier AI models are now discovering zero-day vulnerabilities faster than enterprise patch cycles can respond, collapsing the window between discovery and exploitation that defenders have historically relied on. CrowdStrike’s 2026 Global Threat Report documents a 42% year-over-year increase in zero-days exploited before public disclosure, and adversaries are actively fine-tuning offensive AI models on tailored attack datasets, a shift from human-speed to machine-speed threat operations. For security leaders, this signals that monthly patch cadences and static asset inventories are no longer viable as primary risk controls; continuous exposure management and real-time detection coverage must replace them.