AI-driven “vibe coding” accelerates development by generating code quickly, but it introduces serious security risks. Because AI models focus on producing functional code rather than secure code, they often create snippets containing critical vulnerabilities such as SQL injection, XSS, insecure direct object references, hard‑coded credentials, and flawed authentication or authorization logic. As organizations rely more on automated code generation, understanding these pitfalls becomes essential, since insecure AI‑generated code can easily expose applications to significant threats.

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