Advanced AI models, such as Anthropic's Mythos, are uncovering vast numbers of previously unknown software vulnerabilities, overwhelming enterprise security teams' ability to patch them. This onslaught of newly discovered holes is laying bare decades of accumulated tech debt, prompting chief information officers and chief information security officers to reassess their vulnerability management and remediation strategies. The sheer volume of exposures is forcing a reevaluation of the balance between system availability and breach prevention. As these AI-powered discoveries continue to outpace remediation efforts, the potential for breaches and subsequent regulatory repercussions grows. The use of AI to identify vulnerabilities is exposing the extent of existing security weaknesses, highlighting the need for more effective and efficient remediation approaches1. This matters to security practitioners because the escalating pace of vulnerability discovery is set to have significant downstream effects on regulatory compliance and supply-chain security.