SonarQube Hunter Agent (GA): AI Agent for Logic Flaw Detection
Blog post from Sonar
SonarQube Hunter Agent is now generally available for Enterprise users of SonarQube Cloud, adding AI-driven detection of logic-level vulnerabilities that conventional static application security testing (SAST) cannot reliably identify, including broken access control, business-logic errors, and authentication or session-management weaknesses. The tool analyzes repositories through a multi-stage process that identifies potential issues, explores code structure, independently validates feasible exploit paths, and reports only substantiated findings as existing SonarQube issues, with claimed average precision of 80–90%. Its launch addresses the growing prevalence of authorization flaws, which OWASP has ranked as the leading web-application risk since 2021, alongside increased code-production speed from AI coding tools. Hunter Agent operates without separate installation or dashboards, supports more than 40 languages, can run on schedules or on demand, and is intended to complement SonarQube’s SAST and software composition analysis capabilities through a layered verification approach. SonarQube says the agent has identified more than 200 zero-day flaws in internal testing of established open-source projects, while support for self-hosted SonarQube Server is planned for the future.
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