AI Code, Security, and Trust: Organizations Must Change Their Approach

By Snyk

AI coding assistants have achieved widespread adoption among developers across all sectors. However, many developers place far too much trust in the security of code suggestions from generative AI, despite clear evidence that these systems consistently make insecure suggestions. Unfortunately, security behaviors are not keeping up with AI code adoption.

Technology organizations need to protect themselves against AI code completion risks by automating more security processes and inserting the right guardrails to protect not only against bad AI code but also against the unproven perception that AI-generated code is always superior to novel human code.

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