Closing the logic flaw blind spot

SonarQube Hunter Agent

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SonarQube Hunter Agent

Closing the logic flaw blind spot

Hunter Agent is an AI-powered security agent that runs deep, code-aware analysis across your SonarQube Cloud projects, surfacing the broken access control, business logic, and authentication flaws that static analysis (SAST) was never designed to catch.

Hunter Agent at a Glance

  • The gaps between the lines: logic flaws are about intent, not syntax, so scanners miss them. Hunter Agent catches broken access control, and other business logic abuse flaws as you code.
  • Full-codebase reasoning: it traces data and identity flows across files and builds hypotheses the way a human security researcher would during a code audit.
  • Closing the gap between audits: Hunter Agent keeps hunting around the clock, catching issues in well before your next scheduled security review or pen test engagement.
  • Confirmed findings, not another triage queue: the agent works each lead until it can prove the issue is real, so what reaches your team is high-precision, not a pile of maybes.
  • Platform native: confirmed findings land directly in your existing SonarQube, tagged and ready to assign and fix in the workflow your team already uses.
What Sonar users are saying

Trusted by 7M+ developers

We’re not just keeping quality high; we’re actually able to go faster… AI makes it easier to deliver velocity, but only if you provide the right context from tools like SonarQube.
Stephen Byrnes Distinguished Engineer Cisco
Overall I love the tool and I’m excited to dial up our usage, particularly as tools like Claude Code gain much wider adoption and we may be forced to reckon with the quality of what we’re creating.
Eliott Weiser Sr. Engineering Manager Sirius XM
With over 2,000 repos, manual enforcement isn’t feasible… now, every pull request automatically goes through quality gate checks, security analysis, and secret detection.
Pravien Sammandhankumar Head of DevOps Freshworks
The central verification platform is how we… avoid that trade-off [between speed and safety]. It keeps the checks early. It keeps them consistent, creates visibility so the devs can move quickly.
Abhay Sharma Head of Cloud and DevOps Australian Unity
As we move toward using AI tooling for code generation, it is reassuring to know that all our code is checked and scanned to provide a sanity check on the quantity of code being produced.
Sarah Burgess Lead Product Manager, Security Xero

Gartner® names Sonar a Magic Quadrant™ Leader

AI is generating code faster than teams can govern it. Sonar was named a Leader, and placed highest on Ability to Execute. We built the verification layer the AI development cycle actually needs.

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A G2 Leader for 6 years running
4.6 / 5