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Throughout my career, I’ve seen countless technological shifts categorized as “unprecedented” that turned out to be merely incremental. The recent deployment of advanced, agentic AI models — what we are categorizing here as the “Mythos” capability — is fundamentally different. It represents a permanent, structural shift in the risk and financial dynamics of the enterprise. To understand why this requires immediate boardroom attention, we must look at the cybersecurity budgeting baseline we are leaving behind. For decades, we relied on a predictable equilibrium: vulnerabilities were discovered and exploited at human speed. That inherent latency gave us a reasonable runway to patch systems and allowed CFOs to safely manage cyber budgets via fixed percentages or predictable annual bumps. With the arrival of machine-speed AI agents, that equilibrium — and the financial assumptions built upon it — is gone.