AI Coding Assistants: Your Seven-Layer Security Checklist

Most development teams are already using AI coding assistants, but far fewer have the security infrastructure to keep up with the volume of code that the technology enables. From insecure code generation and hallucinated packages to prompt injection, data exposure, and agentic AI misuse, organizations need clear guardrails to ensure AI-generated code doesn’t become a source of vulnerabilities. This checklist gives your team the controls, processes, and governance to safely adopt AI coding assistants and reduce risk across your software development life cycle.