Developed and delivered an experimental software composition analysis (SCA) dependency path feature across the semgrep-interfaces and semgrep repositories, enabling the CLI to output transitive dependency chains for enhanced security analysis. The implementation introduced a new schema and computation logic using Python and TypeScript, with dependency paths surfaced in findings to align CLI output with the AppSec Platform. The approach ensured backward compatibility by making the feature opt-in via an experimental flag and regenerating relevant bindings. This work improved visibility into dependency origins, supported risk assessment, and laid the foundation for broader security provenance analytics and faster remediation across codebases.