AI sped up the attacker. Enterprise patching has not kept pace. Azul commissioned Censuswide to survey 300 security leaders on exploit speed, patch speed, what slows teams down, and how much of their Java estate they can see.
Report
For years, patching monthly or quarterly made sense. Attackers needed time and expertise to turn a flaw into an exploit, and defenders used that time to test and deploy.
Security leaders say that window is shrinking. Nearly every leader surveyed said AI-powered attack tools have increased their exposure over the past 12 months, yet most have not changed their security posture. This report measures the gap between how fast attackers can exploit a disclosed flaw and how fast teams can fix it.
What you’ll learn:
How fast AI-powered attackers can exploit a flaw, and what that means when patches take days to reach production
What it means when 66% of organizations have no time-bound commitment to patch non-critical vulnerabilities, and why that is hard to defend after an incident
Why Java’s standard patches are increasingly risky, over and above the fact that 1 in 5 PSUs caused a regression issue over the past six years.
Why a runtime that cannot be seen cannot be patched, with 51% of security leaders reporting partial or limited visibility into their critical Java runtimes
Where security leaders plan to focus over the next 12 months, and how that compares with your current strategy
