AI Copilot: Launching Innovation Rockets, But Beware of the Darkness Ahead

**Summary:** This article discusses the security paradox of AI-generated code—highlighting how tools like GitHub Copilot can introduce or reproduce vulnerabilities due to flawed training data—and offers practical secure-coding recommendations (input validation, dependency management, security testing, gradual adoption, and continuous education) to mitigate risks while integrating AI into the software development lifecycle.