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Veracode's 2025 GenAI Code Security Report tested 80 coding tasks across more than 100 large language models and found 45% of the resulting code introduced at least one security vulnerability. Most teams shipping AI-assisted code have no formal review step calibrated to this failure rate - they're applying pre-AI code-review habits to a class of bugs that didn't exist three years ago. A pre-launch security audit, the kind built into a structured MVP delivery process at firms like SpeedMVPs, is becoming less optional and more of a baseline expectation for anything handling real user data.

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