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)

Over the last several years, we have seen an emergence in the supply of AI assistants for code. Software developers and web programmers have coding assistant tools like ChatGPT and Github CoPilot at their disposal now.

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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