A Security Risk Assessment Framework for AI-Powered Development Tools
Researchers propose SRF, a framework showing AI-generated code from multiple development tools introduces vulnerabilities, worst in input and file handling tasks.
The paper presents the Security Risk Assessment Framework (SRF), combining threat modeling, security analysis, and quantitative risk evaluation based on vulnerability criticality for AI-generated code. Code generated by multiple AI-powered development tools was analyzed with Bandit and Semgrep across security-relevant programming tasks. All evaluated tools introduced vulnerabilities; risk varied mainly by task type, with input processing and file handling showing higher risk, while differences between tools were smaller than differences across task categories.