Semgrep says GLM 5.2 beat Claude in a narrow security benchmark

The result strengthens Isaac Evans' long-running bet that code security needs better workflow design, not just bigger models.

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Primary source: Semgrep

Why it matters

Semgrep's benchmark points to a shift in AI security: the defensible layer may be the workflow around the model, not the model itself.

Illustration of Semgrep's secure code and improved workflow design, with GLM 5.2 shown narrowly outperforming Claude in a security benchmark.

The result strengthens Isaac Evans' long-running bet that code security needs better workflow design, not just bigger models.

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