Frontier AI models, like Mythos, are compressing software development timelines in ways legacy security programs were never designed to absorb. Engineering teams are shipping 10 to 50 times more code per sprint, a pace that fundamentally breaks the assumption that humans can review what humans build. For security leaders, this isn't a velocity problem. It's an architectural one.
This session gives security leaders a rigorous framework for AI-era risk and will cover:
Attendees will leave with a defensible strategy for enabling AI-accelerated development without ceding control of their risk posture, and with language to bring these tradeoffs into board-level conversations on AI governance and supply chain liability.