Policy
Ongoing · 2 updatesFact 9/10AI Audit Rules Move From Policy Memo to Operating Checklist
AI governance is becoming operational: logs, permissions, evaluations, incident response, and evidence collection are moving into product requirements.
Source disclosure
Mock source. Seeded for product review; replace with live Hermes output before production editorial use.
AI audit rules are moving from abstract principles to operational checklists. Companies cannot rely on a responsible-AI statement alone. They need to show what data was used, who approved sensitive actions, which evaluations passed, and how incidents are handled.\n\nPolicy pressure is becoming product requirements. Builders need evaluation sets, access controls, audit logs, model-change records, and user challenge flows inside the system. That may slow shipping, but for large customers it becomes a prerequisite for buying.\n\n## Builder Implications\n- AI products need durable operating evidence.\n- Evaluations and incident response are launch requirements, not afterthoughts.\n- Governance features can become enterprise trust infrastructure.
Update timeline
1 updates- New development
Mock update: A draft rule specified retention periods for AI audit logs.
source