43% of organizations cite difficulty distinguishing AI-generated from human-written code as a top barrier to control and traceability.
43% of organizations cite difficulty distinguishing AI-generated from human-written code as a top barrier to control and traceability. — This cybersecurity statistic was published by GitLab in June 2026. It covers topics including Traceability, AI Coding. The original data appears in The 2026 AI Accountability Report . For the full methodology and detailed findings, refer to the original report.
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What does this statistic say?
43% of organizations cite difficulty distinguishing AI-generated from human-written code as a top barrier to control and traceability. This data was published by GitLab and covers Traceability, AI Coding.
Where does this data come from?
This statistic comes from The 2026 AI Accountability Report , published by GitLab on June 28, 2026. You can view the original report at https://about.gitlab.com/resources/ai-accountability-survey-2026/.
What cybersecurity topics does this cover?
This statistic relates to Traceability, AI Coding. Browse more statistics on Traceability or from GitLab.