Azul Enhances Java Security with Precision Runtime Vulnerability Detection

Azul’s Intelligence Cloud now includes a runtime vulnerability detection feature that analyzes class-level execution data to identify actual usage of vulnerable code within Java applications. This method significantly reduces false positives—by up to 99%—compared to traditional tools that flag entire components based solely on SBOM or file presence. Leveraging AI-updated knowledge of CVEs mapped to specific Java classes, the system continuously monitors both current and historical runtime behavior, allowing DevOps teams to efficiently triage and prioritize real security risks with no performance impact. The update empowers organizations to reclaim valuable development time, focus on true threats, and enhance their overall security posture. 

https://securitybrief.co.nz/story/azul-boosts-java-security-with-improved-runtime-vulnerability-detection

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