Veracode finds nearly 44% of AI-generated code fails security checks
11/06/2026 — 11/06, 17:20·1 sources (all)·1 reports (all)
Key takeaways
- Veracode's 2026 testing found model-generated code almost always compiles, yet nearly 44% of tasks fail security checks, a rate unchanged si…
- 45% of samples chose insecure patterns even when a safe option existed, and Java failure rates topped 70%. The article maps the common failu…
Background & analysis
On November 6, 2026, DEV Community published a piece titled "The security risks of AI-generated code and a review checklist," originally published on shipfastdev.com. It draws on Veracode testing from 2026 showing that models produce code that compiles almost 100% of the time, yet fails security checks on nearly 44% of tasks. The article notes that this pass rate has not improved since 2025. It also references Veracode's 2025 report, in which models still chose an unsafe coding approach 45% of the time when a secure one was available, with Java failing more than 70% of the time. Building on these findings, the piece lays out common failure modes and a review checklist intended for developers or outsourced teams, arguing that AI-generated code should be handled like code from an unfamiliar contractor: reviewed, scanned, and tested before it reaches production. At this point only this single article is available, and Veracode has not yet published the underlying report or offered further follow-up.
AI-generated from 1 reports · updated 2 hours ago
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In Veracode's 2026 tests, model-written code compiled almost 100% of the time but failed security checks on nearly 44% of tasks, a pass rate unchanged since 2025. The company's 2025 report found models chose the insecure option 45% of the time when both were possible, with Java failing more than 70% of the time. The article summarises the recurring failure patterns and offers a review checklist for developers or agencies.
DEV Community · AIAI score 62
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