AI Code security report: Organizations must change their approach

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56.4% say insecure AI suggestions are common — but few have changed processes to improve AI security

AI Code Security Report
(Image credit: Snyk)

AI code completion tools have earned significant market penetration. At the same time, there's a contradiction between developer perception that AI coding suggestions are secure and research that indicates the opposite.

This whitepaper from Snyk shares insight from a survey about the use of AI coding tools across companies in different industries. The findings in this report underscore why it's so important for development and security teams to adopt a responsible approach to AI. 

Here's what you'll learn:

  • How much risk is injected into the development process by AI code completion
  • The components that are labeled as secure by AI systems when it's not the case
  • That cognitive dissonance between security implications of AI coding tools and developer confidence in its ability to generate secure code

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Provided by Snyk

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