Building Guardrails to Secure AI-generated Code

This report offers a practical guide to making AI-generated code secure by default—using prompt techniques, enforceable rules, and MCP Servers.

AI coding assistants are changing how software gets built. Tools like GitHub Copilot and ChatGPT help developers move faster by generating code from natural language prompts. But this productivity comes with risk.

In a recent study, over 60% of AI-generated code solutions contained security vulnerabilities or design flaws. Here’s how to make code safer with every prompt.

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Date: 1.8.2018

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