How SAS secures their AI-generated code

Generative AI is revolutionizing software development, but it also introduces new security challenges. The code generated by these tools may contain external quality and security issues, as well as introduce new attack vectors. To ensure the safe and responsible use of this powerful tool, organizations must take precautions to minimize inconsistent results from these tools and stay aware of emerging risks. This includes prioritizing developer education, doubling down on tried-and-true security measures, implementing multi-faceted testing, focusing on consistency, and adopting a shared responsibility model for AI-generated code.

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