Azul Research: 85% of Organizations Suffer Security Incidents Due to Slow Java Patching

Financial institutions and enterprises relying on Java face a critical security window as AI-powered tools accelerate the speed of cyberattacks. New research indicates that while most attackers can now exploit vulnerabilities within three days, nearly half of organisations require significantly longer to deploy patches, leaving a dangerous "vulnerability gap" in production environments.

What was announced

The 2026 AI Vulnerability Gap Report, conducted by Censuswide on behalf of Azul, surveyed 300 U.S. security leaders at organisations where Java represents a significant share of the production application estate. The findings reveal a critical disconnect between the speed of AI-driven attacks and the pace of enterprise defense. According to the data, 85% of organisations have already experienced a security incident or a near miss due to slow patching. This includes 55% who reported a confirmed incident and 53% who reported a near miss.

The report identifies a specific "three-day gap" in security posture. While 69% of security leaders believe that AI-equipped attackers can develop a working exploit within three days or less—including 22% who believe it can be done in under 24 hours—only 56% of organisations are capable of deploying a critical patch within that same three-day window. Testing remains the primary bottleneck; 58% of organisations require four or more days for pre-deployment testing alone. Only 9% of respondents can complete testing in under 24 hours, and notably, no respondent reported skipping testing entirely.

This pressure is mounting following the October OpenJDK quarterly update, which disclosed a record 53 vulnerabilities, the highest number in a single update in over a decade. Despite 59% of leaders acknowledging that AI-powered tools have increased their security exposure, many have yet to change their security posture, with 25% stating the increase is not currently a priority.

"Agentic AI has collapsed the margin defenders depend on, and most enterprises are still running patch processes built for a much slower adversary,"

Scott Sellers, co-founder and CEO of Azul

The companies involved

Azul is a provider of enterprise Java solutions, positioning itself as a specialist in maintaining Java runtimes for organisations where these environments form a core part of the production estate. Led by co-founder and CEO Scott Sellers, the company operates within the OpenJDK ecosystem, providing high-performance Java platforms designed to serve as alternatives to standard distributions. The company focuses on addressing specific enterprise requirements, such as reduced latency and simplified patching cycles, which are critical for high-uptime sectors like financial services.

A central part of the company's market proposition is its "Security-only, Stability-first™" updates. These updates are designed to isolate security fixes from other functional changes or bundles that could potentially break production code. By decoupling these elements, the company aims to allow businesses to address vulnerabilities rapidly without the traditional overhead of full-scale regression testing. This approach is intended to help organisations close the exploitation window before attackers can leverage newly disclosed vulnerabilities in the Java runtime.

What this means

The emergence of AI-powered exploitation tools represents a fundamental shift in the threat landscape for the financial services industry. For decades, the "patching window" was measured in weeks; it is now measured in hours. This report highlights that the primary obstacle is no longer a lack of awareness, but the technical debt inherent in testing complex Java-based financial systems. Fintechs and banks are under immense pressure to modernize their deployment pipelines to accommodate rapid, isolated security updates. If the industry cannot close the three-day gap, the risk of systemic breaches will escalate as attackers use agentic AI to automate the discovery and exploitation of vulnerabilities.