Enterprise Java company Azul announced its Azul Intelligence Cloud AI Assistant on Wednesday. The technology arrives in response to industry-wide alerts that AI has become a force multiplier for threat actors today.

The Azul service is a natural-language query interface that allows software engineering teams to see where security risk and licensing infringements are hiding in their live production Java estate. The assistant provides answers that are “grounded in live runtime data”, so it replaces static reports that grow less accurate after the day they’re generated.

Azul said that “most IT and engineering teams” still manage Java risk with static IT and software asset management (ITAM/SAM) reports and code-scanning tools that describe a moment in time. The company has insisted that these reports are “accurate on the day they’re generated, and increasingly wrong after that”, typically because Java Virtual Machines (JVMs) are spun up, patched, drifted and retired underneath the report’s scope.

“For years, enterprises have built dashboards and reports to understand what’s actually running in their Java estate, but by the time a report gets properly summarized and reviewed, the risk it describes has often already changed,” said Scott Sellers, co-founder and CEO of Azul. “That used to be a productivity problem. Now that AI can find and weaponize a vulnerability in hours instead of weeks, it’s a business risk – for security, for compliance and for the licensing exposure that shows up in an audit.”

“Now that AI can find and weaponize a vulnerability in hours instead of weeks, it’s a business risk…”

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