Hazard analysis framework for code-synthesis LLMs to reduce risk in code generation

AI Impact Summary

A hazard analysis framework for code-synthesis LLMs provides structured methods to identify and categorize risks in automatically generated code, including security flaws, licensing, prompt injection, data leakage, and supply-chain concerns. This capability enables engineering teams to embed risk assessment into model deployment and feature design, guiding guardrails, testing, and compliance controls before release. It supports repeatable risk discussions with product and security teams and informs design choices that reduce the chance of unsafe or non-compliant code reaching production.