A recent report by Veracode found critical security flaws in AI-generated code. The study revealed that while AI produces functional code, it introduces security vulnerabilities in 45% of cases.
The research demonstrates a troubling pattern: when given a choice between a secure and insecure method to write code, GenAI models chose the insecure option 45% of the time. Research also uncovered a critical trend: despite advances in LLMs’ ability to generate syntactically correct code, security performance has not kept up, remaining unchanged over time.
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