This research evaluates the security quality of AI-generated code from GitHub Copilot integrated into real-world projects, revealing significant concerns.

• High vulnerability rate: Copilot-generated code contains numerous security issues across multiple CWE categories
• Risk severity: Many identified vulnerabilities pose high security risks to applications
• Prevalence in projects: Security weaknesses were found across diverse GitHub repositories using Copilot
• Limited detection: Existing security tools often miss these AI-specific vulnerabilities

For security professionals, this highlights the need for specialized security review processes and tools when incorporating AI-generated code into production systems.

Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study