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Ebook Snyk

Buyer's Guide for Generative AI Code Security

Protecting businesses from AI-generated code vulnerabilities

While AI has existed for decades, its widespread adoption has surged recently due to advancements in hardware, algorithms, data availability, deep learning, and the availability of pre-trained models like ChatGPT. Snyk’s Buyer's Guide addresses educating teams on generative AI, selecting tools for leveraging and securing AI-generated code effectively, and the importance of choosing the right tool for the task.

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Developers are overly reliant on a technology that depends on users to vet its output, generative AI by its very nature creates code vulnerabilities at speed, and both of these factors are contributing to more vulnerabilities being fed back into the training data for generative AI code tools. 

Fixing these novel problems requires a holistic approach, and looking at your people, processes, and tools with fresh eyes. In this buyer’s guide, we will walk you through how to approach each category, then zoom in on a checklist of characteristics for selecting a suitable security tool for your generative AI code tool.

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