There’s no doubt that generative AI is having its time in the sun. Popularized by tools like ChatGPT and Midjourney, AI has made its way up most organizations' priority lists.

Gartner predicts that by 2026, more than 80% of enterprises will have used generative AI APIs or models and/or deployed generative AI-enabled applications in production environments. This is up from less than 5% in 2023, so we’re really at the beginning of the expansion of professional-grade generative AI. Of course, with all of the buzz around AI, it’s hard to tell the actual use cases from the hype. Is there a legitimate use for AI in application security? The quick answer is “yes,” but it’s a much more nuanced question than one might think.

In this whitepaper, we’ll look at the ins and outs of generative AI: the types of models, use cases for AI, and how to best use AI to help organizations to ultimately produce more secure code.