AI Code Security Audit for Startups: What to Check Before Deploying

Short summary

Startups using AI coding assistants risk deploying insecure code: hardcoded secrets, misconfigured environments, and unvalidated dependencies. This guide provides a 7-point security checklist and shows how to automate critical checks in CI/CD pipelines without slowing development.

• •AI coding assistants reproduce training patterns—both secure and insecure—introducing risks like secret leakage, configuration drift, and dependency hallucinations.
• •Use a 7-point manual checklist (secrets, config, dependencies, validation, error paths, permissions, risk assessment) before deploying AI-generated code.
• •Automate high-impact checks locally and in CI/CD pipelines to catch security issues without slowing development velocity.

Generated with AI, which can make mistakes.