For CSP nonce generation, both ChatGPT and Google Gemini are fundamentally unsuitable as primary security mechanisms. These large language models are designed for language understanding and generation, not for producing cryptographically secure random numbers required for robust nonce implementation. If prompted to generate nonces, they might provide simplistic, predictable strings or code snippets that would be vulnerable to bypasses, severely compromising Content Security Policy effectiveness. Their utility lies instead in explaining CSP concepts, providing server-side code examples for secure nonce generation using proper cryptographic libraries (e.g., Node.js crypto or Python secrets modules), or troubleshooting policy syntax. Neither platform inherently offers a superior or secure method for live nonce creation over dedicated server-side cryptographic functions. Therefore, for actual production environments, relying on either LLM for direct nonce generation poses a significant security risk. More details: https://prsex.net/cgi-bin/buut.cgi?hhg=videos&url=https://4mama.com.ua/