Choosing a security tool for AI-generated code requires careful consideration to balance the needs of security teams and developers. A good security tool should allow developers to work seamlessly while securing applications reliably, without interrupting their workflow. It should also be accurate and avoid "AI hallucinations" by leveraging expert knowledge and machine learning methods. Additionally, it should perform thorough interfile analysis, providing a comprehensive view of the application's structure and functions. Automated reporting capabilities are essential for security leaders to track progress and assess overall risk. Finally, the tool should be independent and able to evolve with changing needs, allowing developers to choose their preferred AI coding tools.