CodeHawk brings AI-assisted incremental audits into code review workflows

SoftSafe Tech showcased how CodeHawk is applied in the research collaboration workflow. This product combines AI semantic analysis with StatiCode static analysis capabilities, conducting incremental audits around code changes and delivering results to the developer's daily code collaboration environment.

This process primarily addresses two needs: supplementing security reviews before code integration and providing traceable risk clues for developers. AI analysis aids in understanding code semantics and logic, while static analysis provides contextual project information and defect paths for judgment.

This process primarily addresses two needs: supplementing security reviews before code integration and providing traceable risk clues for developers. AI analysis aids in understanding code semantics and logic, while static analysis provides contextual project information and defect paths for judgment.

For the full code base, cross-module analysis, historical security debt, and compliance checks, teams still need to collaborate with comprehensive SAST scans and manual reviews. Audit recommendations should be adopted only after actual business logic validation. Product capabilities and integration scope are subject to the corresponding version documentation.