The emergence of advanced AI models like Mythos has significantly accelerated vulnerability discovery, making it cheaper and more accessible. As a result, defenders must adapt to this new speed, as manual triage methods are no longer sufficient to keep up with the volume of vulnerabilities. Threat intelligence has become a critical prioritization layer, enabling defenders to respond at machine speed. Notably, only a small fraction of disclosed vulnerabilities are actively exploited, with Recorded Future Intelligence observing just 446 out of approximately 50,000 disclosed CVEs in 20251. To effectively counter this surge in AI-driven vulnerability discovery, defenders must leverage advanced threat intelligence and automated operations. This shift is crucial, as the security implications of large language model developments are only beginning to unfold, and practitioners must prioritize proactive measures to stay ahead of emerging threats.