RiskyPy: Benchmark Pipeline for LLM Code Generation Security Eval

Mon, 02 Nov 2026 21:42:19 +0000

Engineer — Learn: Findings that only 5-10% of LLM-generated Python is free of Bandit security findings should recalibrate confidence in AI-assisted coding; engineers relying on LLMs for code generation should ensure SAST tooling (e.g., Bandit, Semgrep) is part of the review pipeline for AI-authored code.
SOC/IR — Skip
Leader — Learn: The benchmark data showing pervasive security flaws in LLM-generated code provides evidence useful when building or justifying an AI-assisted development policy, but no immediate action is required.

Llm-Code-Security on CuraSec