The release of Anthropic’s Mythos AI has started a new discussion in the cybersecurity industry, but experts say the biggest problem is not Mythos itself. The real concern is the “exposure window,” which is the time between a vulnerability becoming exploitable and an organization fixing it. Attackers only need this short gap to enter a system and cause damage. According to security experts, this window has become one of the most important risk factors for every organization today.
Many people first worried that Mythos would create an overwhelming number of new software vulnerabilities. However, cybersecurity professionals explain that organizations were already struggling with huge backlogs before Mythos appeared. More than 48,000 Common Vulnerabilities and Exposures (CVEs) were reported during 2025, and projections suggest that around 66,000 could be disclosed in 2026. AI simply makes finding these weaknesses much faster than before.
The biggest challenge is not identifying vulnerabilities but fixing them quickly. Security scans, threat discovery, and risk prioritization have become much faster because of automation and AI. However, patching still depends on different teams, approval processes, maintenance windows, and business priorities. As a result, organizations often take weeks or even months to close critical security gaps after they are discovered.
Recent cybersecurity research highlights how serious this timing gap has become. Attackers can now break into a targeted environment in an average of just 29 minutes after gaining initial access. In comparison, high and critical application vulnerabilities take an average of about 55 days to remediate, while many enterprise vulnerabilities remain unpatched for months or even longer. This large difference gives cybercriminals plenty of time to exploit known weaknesses.
Security experts also point out that the hardest part of vulnerability management is “mobilization.” Once a vulnerability is identified, responsibility often moves from the security team to IT or infrastructure teams that have their own workloads and approval processes. Legacy systems, operational technology environments, production servers, and identity-related security issues make remediation even more complicated because not every issue can be fixed with a simple software patch.
Another important change is that proactive security teams are now expected to work at the same speed as incident response teams. In the past, organizations mainly measured patch coverage and the number of vulnerabilities fixed. Today, experts believe they should also measure how quickly critical risks are removed because AI-powered vulnerability discovery has dramatically reduced the time between finding a weakness and exploiting it.
Instead of trying to fix every vulnerability equally, cybersecurity specialists recommend focusing on the attack paths that can actually reach valuable business assets. This approach helps organizations reduce their “blast radius,” meaning the number of important systems an attacker can access if a breach occurs. By prioritizing exploitable paths rather than long vulnerability lists, companies can reduce business risk more effectively.
The overall message from cybersecurity experts is clear: Mythos did not create the security problem it simply exposed weaknesses that already existed in vulnerability management. Organizations that continue relying on slow remediation processes may leave critical systems exposed for far too long. Reducing the exposure window through faster remediation, better prioritization, and stronger coordination between security and IT teams is now considered essential for defending against modern AI-driven cyber threats.
Stay alert, and keep your security measures updated!
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