How to secure AI generated code from prompt to pentest

AI-generated code security issues were discussed, including insecure dependencies, malware, malicious MCP servers, prompt injection, and unbounded agent permissions. To mitigate these risks, set a minimum age in .npmrc, use a curated allowlist for MCP servers, contain agent execution, and limit agent permissions. These fixes can be implemented with a few simple config lines and processes. This matters because AI-generated code is increasingly used in production, and these security issues can lead to significant data breaches and reputational damage.