Responsible AI coding governance is about useful boundaries, clear ownership, and proportionate evidence. These Insights focus on policy and practice without turning governance into surveillance.
Approved tools are only one part of the picture. Teams also need guidance on data, access, review, accountability, escalation, and the definition of high-risk work.
Evidence should support judgment
A reviewable trajectory can help explain what happened during important AI-assisted work. It cannot replace security review, legal advice, or the judgment of the people responsible for the system.
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