Azul, the trusted leader in enterprise Java for today's AI and cloud-first world, today launched a free JVM vulnerability risk assessment to address the blind spot that autonomous AI exploitation tools are increasingly able to find. With mean time to exploit (MTTE) collapsing from months to days or hours, the unmanaged Java estate has become an urgent enterprise security vulnerability. Azul's assessment gives DevOps and SecOps teams complete visibility into the hidden risks embedded in the runtime of their Java estate before threat actors get there first.
Azul launches free JVM vulnerability risk assessment for enterprise Java estates.
Mean time to exploit (MTTE) has collapsed from months to days or hours.
Anthropic's Claude Mythos demonstrates AI can autonomously discover and weaponize vulnerabilities.
Assessment provides executive dashboard, risk-by-version breakdown, and KRI visibility.
Identifies JVMs with active Known Exploited Vulnerability (KEV) exposure.
Assessment available at no cost direct from Azul and via select partners.
For most of Java's enterprise history, a sophisticated exploit required a sophisticated attacker. Zero-day discovery and weaponization were largely the domain of nation-states and elite offensive security teams. The barrier was expertise — deep JVM knowledge, reverse engineering and months of painstaking technical effort. That barrier has collapsed. Anthropic's Claude Mythos demonstrates that AI can autonomously uncover previously unknown vulnerabilities and generate working exploit paths at scale — without human expertise. What once required deep, specialized expertise can now be accomplished with little more than an advanced AI model and an API key. The result is an expanding population of potential attackers.
In a single engagement, organizations receive an executive-ready security dashboard providing a visual summary of the entire Java estate, broken down by risk tier, publisher and Java version — designed for CxO-level consumption and board reporting. A risk-by-version breakdown identifies the specific Java versions driving the highest exposure, so remediation effort can be directed where it matters most. Key Risk Indicators (KRIs) for AI-driven exploits provide visibility into which JVMs carry active Known Exploited Vulnerability (KEV) exposure — the highest-priority threat class recognized in the U.S. government's CISA KEV catalog — as well as which instances are end-of-life or running below the current patch baseline. A prioritized remediation roadmap delivers concrete next steps ranked by impact, including which workloads to patch first, which to migrate off unsupported runtimes, and how to address extended support needs for legacy environments.
Java's quarterly updates are the primary mechanism by which known vulnerabilities are remediated. But in an environment where autonomous AI systems continuously discover new vulnerabilities or chain together previously known CVEs into exploits, the pace of standard patch deployment is no longer sufficient on its own. Azul's enterprise Java platform addresses this challenge through a multi-layered approach: Stable Critical Patch Updates (CPUs) provide quarterly, production-safe patches containing only current CVE fixes; out-of-cycle emergency fixes address vulnerabilities discovered between quarterly updates; and full-stack visibility surfaces every JVM instance across the enterprise estate, including embedded and unmanaged runtimes that standard asset discovery typically misses.
Organizations in financial services, healthcare, utilities and government face a compounding challenge. They operate some of the largest and most complex Java estates in existence, and they face the strictest regulatory obligations. Frameworks including PCI-DSS, SOX, HIPAA, DORA, NERC CIP and FedRAMP all require demonstrable visibility into deployed software versions, timely vulnerability remediation and documented patch history. Autonomous AI exploitation tools do not distinguish between regulated and unregulated targets, but the consequences of a breach in a regulated environment make estate visibility and rapid CPU deployment a compliance requirement.
Jenny Nelson, head of ICT & Digital at Newcastle City Council, shared: "Through our strategic partnership with Azul, we significantly reduced our security risk level with our Java applications and Java-based infrastructure, which certainly helps me sleep better at night. In addition, the benefits of switching to Azul Core as our JVM are clear. Our Java estate is now consistent, standardized, easier to maintain, and has brought a level of simplicity that's a huge benefit to our organization."
Scott Sellers, co-founder and CEO of Azul, stated: "Anthropic's Mythos has shown that AI can now discover and weaponize vulnerabilities on its own — including flaws that survived decades of human review. That's the real lesson for every CISO: the deep expertise that used to stand between attackers and your software estate is no longer a barrier. The unpatched JVM is already a growing liability, not a future one. Azul's JVM vulnerability risk assessment was created to help security leaders find and close that exposure before AI-driven attackers can exploit it."
About Azul
Azul is a trusted leader in enterprise Java, providing high-performance, secure, and cost-effective Java solutions for today's AI and cloud-first world. Azul's products are trusted by more than half of the Fortune 100 and are used by over 1,200 of the world's most demanding enterprises.
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