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Azul Introduces 100 – 1000x More Accurate In-Production Java Vulnerability Detection

  • On June 11, 2025, Azul revealed enhancements to its Vulnerability Detection platform aimed at strengthening the security of Java applications running in production settings.
  • The update addresses critical false positives by focusing on actual runtime code usage, responding to common issues where scanners flag unused vulnerable components.
  • Azul Intelligence Cloud eliminates up to 99% of false positives by analyzing code at the class level and prioritizing real risks without impacting performance or innovation speed.
  • Scott Sellers emphasized that the goal is to enable enterprises to concentrate their security resources on genuine threats rather than distractions, with the tool delivering detection accuracy improvements ranging from 100 to 1000 times compared to conventional solutions.
  • This update shortened remediation efforts by 57% and recovered an amount of engineering capacity comparable to six full-time staff, helping to reduce developer burnout linked to false positive alerts.
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SecurityBrief New ZealandSecurityBrief New Zealand
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Azul unveils Java tool to cut false positives by up to 99%

Azul has launched a Java vulnerability tool that cuts false positives by up to 99%, improving threat detection accuracy for production environments.

Security is an area on which Azul wants to differentiate himself. Known for his JDK, the publisher offers other tools such as Azul Vulnerability Detection. Its mission is to detect vulnerabilities until identifying the class involved while drastically reducing false positives. "Azul Vulnerability Detection is based on performance data collected in production at the class level. This allows organizations to focus only on the actual code paths use…

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The Huntsville Item broke the news in on Tuesday, June 10, 2025.
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