Directly handling encryption logic in legacy systems with ChatGPT is strongly discouraged due to its inherent limitations as a language model and critical security implications. Instead, best practices involve leveraging ChatGPT as an assistive tool for specific, non-critical tasks under strict human supervision. This includes using it to understand complex legacy code structures, generate conceptual code examples for learning purposes, or explain cryptographic principles relevant to your system. It can help identify potential logical flows or misconfigurations by analyzing provided (non-sensitive) code snippets, but never for direct security vulnerability assessment. Always ensure no sensitive information is ever shared with the model, and all outputs related to security or encryption must undergo rigorous independent verification by certified security professionals. ChatGPT should serve as a knowledge augmentation tool, not a substitute for expert cryptographic design, implementation, or security auditing in production environments. More details: https://www.dcfever.com/adclick.php?id=41&url=https://www.abcname.com.ua