How to Close the AI Governance Gap in Software Development
Why AI Code Assistants Are Creating New Security Vulnerabilities The era of AI coding tools is here, promising unprecedented leaps in productivity. With nearly three-quarters of developers now using or planning to use AI assistants—primarily to increase efficiency and accelerate learning—the benefits are clear. However, this widespread adoption has created a massive, urgent security problem: the AI governance gap. The core issue lies in trust and speed. Developers, often under immense pressure to deploy code faster, are increasingly copying and pasting code from Large Language Models (LLMs) directly into production. While this accelerates development, it bypasses traditional scrutiny, allowing potentially fatal flaws to slip into the codebase. The data is sobering: Even top LLMs can generate solutions that are incorrect or contain a vulnerability in up to 62% of cases . Among the correct solutions, nearly half are still insecure. This means AI coding assistants, ...