For decades, cybersecurity defenders have relied on a relatively straightforward model: a vulnerability is disclosed, security teams assess exposure, test available fixes, deploy patches into production, and ultimately close the risk before attackers can exploit it at scale. That model increasingly reflects a world that no longer exists. Today’s enterprises operate thousands of interconnected workloads across hybrid and multicloud environments. Mission-critical applications power revenue-generating services, customer experiences, and core business operations that cannot simply be taken offline whenever a security update becomes available. At the same time, vulnerabilities are becoming more visible, more widely distributed, and more rapidly weaponized than ever before. The result is a growing gap between how quickly organizations can safely remediate vulnerabilities and how quickly adversaries can exploit them. It is time to rethink how the industry approaches security during the critical period between disclosure and remediation. The patch window has collapsed Traditional vulnerability management was built on the assumption that defenders could move faster than attackers. In many cases, they could. When a vulnerability was disclosed, organizations had time to understand the issue, assess affected systems, test patches, coordinate change windows, and deploy fixes before widespread exploitation occurred. Today that timeline is rapidly shrinking. Modern attack campaigns operate at internet scale. Security research, public disclosures, proof-of-concept exploits, and threat intelligence circulate globally within hours. A vulnerability announced in the morning can become the focus of active scanning and exploitation efforts by the afternoon. Meanwhile, the operational realities of enterprise environments have not changed. Organizations still must: Understand the vulnerability and its business impact. Identify affected systems across large estates. Evaluate dependencies and compatibility concerns. Validate fixes in test environments. Coordinate deployment schedules. Monitor for regressions and operational risk. These are not signs of inefficiency. They are necessary safeguards for business-critical environments. The challenge is that while defensive processes continue to require days or weeks, offensive timelines are increasingly measured in hours. That creates one of the most dangerous periods in modern cybersecurity: the window between awareness and remediation. AI is expanding the defender’s challenge AI is helping organizations modernize operations, accelerate development, and improve security outcomes. But the same technological advances are also changing the economics of offensive operations. Historically, transforming a newly disclosed vulnerability into an effective attack often required extensive manual research and deep technical expertise. Security researchers and attackers alike needed to analyze documentation, understand exploit conditions, study affected software, and develop attack techniques. Many of those steps can now be accelerated. AI-assisted workflows can help analyze vulnerability disclosures, identify likely attack paths, evaluate technical dependencies, and summarize complex technical information far more quickly than traditional manual processes. As these capabilities become more accessible, the timeline between disclosure and exploitation continues to compress. The result is a structural imbalance. Defenders remain responsible for protecting entire environments that may include thousands of servers, applications, databases, containers, and network assets. Attackers only need to identify a single viable path to exploitation. This asymmetry is driving organizations to ask an increasingly important question: What happens before the patch is deployed? Why existing security approaches fall short The security industry has invested heavily in improving visibility. Organizations today have access to more vulnerabil…