Azul’s free risk assessment for Java estates addresses the blind spot that autonomous AI exploitation tools are increasingly able to find, the company said.
Azul has introduced free vulnerability risk assessment for Java virtual machines (JVMs). Citing AI models such as Claude Mythos, which can automatically discover vulnerabilities and create exploits long before they’re disclosed, the company says it aims to address the blind spots that these autonomous AI-powered exploitation tools are able to find.
Users can request the free JVM vulnerability risk assessment at Azul’s website. To counter AI-driven exploits, Azul’s assessment maps discovered JVM vulnerabilities directly to Stable Critical Patch Updates (CPUs), which are security-only patches that can be dropped into live production environments immediately without the risk of breaking software, Azul said.
Announced June 17, Azul’s free JVM risk vulnerability assessment is available at no cost, direct from Azul and via select Azul partners, the company said. In a single engagement, organizations receive the following:
- Executive-ready security dashboard: 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.
- Risk-by-version breakdown: Identification of the specific Java versions driving the highest exposure, so remediation effort can be directed where it matters most rather than spread uniformly.
- Key Risk Indicators (KRIs) for AI-driven exploits: Visibility into which JVMs carry active Known Exploited Vulnerability (KEV) exposure — the highest-priority threat class recognized in the US government’s CISA KEV catalog — as well as which instances are end-of-life or running below the current patch baseline.
- Prioritized remediation roadmap: 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 that cannot be immediately modernized.
In the current risk 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, Azul said. The company said its free JVM vulnerability risk assessment is purpose-built for this environment.
