AI That Hunts Logic Bugs Before Attackers Do - Taylor Luttrell-Williams, Sonar
SonarQube Hunter Agent uses repository-wide analysis and specialized agents to flag logic-level security flaws that pattern-based SAST may miss, then validates findings before adding them to the issue list.
Hunter Agent maps a repository, then runs **three specialized agents** for broken access control, business logic, and authentication or session flaws. It adversarially validates findings before adding them to SonarQube’s issue list; a demonstrated scan took about **one hour**. Scans can run on demand or on a daily, weekly, or monthly schedule.
For agent-generated code, consider adding a logic-focused security scan alongside SAST and SCA. Review its code locations, rationale, severity, and suggested fix in the existing SonarQube issue workflow; the talk also says findings can be assigned to SonarQube’s remediation agent.
Hunter Agent maps a repository, then runs **three specialized agents** for broken access control, business logic, and authentication or session flaws. It adversarially validates findings before adding them to SonarQube’s issue list; a demonstrated scan took about **one hour**. Scans can run on demand or on a daily, weekly, or monthly schedule. For agent-generated code, consider adding a logic-focused security scan alongside SAST and SCA. Review its code locations, rationale, severity, and suggested fix in the existing SonarQube issue workflow; the talk also says findings can be assigned to SonarQube’s remediation agent. The demonstration is one project, and scan time depends on repository size and complexity. The material gives no independent accuracy or false-positive rates, so validate findings in your own codebase before relying on the results or automated remediation.
This adds a logic-focused security scan to the supplied agent-review options: specialized agents validate access-control, business-logic, and session findings before routing them into SonarQube. The single-project demonstration and absent accuracy rates leave local validation necessary before treating findings or suggested remediation as dependable.