> ## Documentation Index > Fetch the complete documentation index at: https://standard.aiuc-1.com/llms.txt > Use this file to discover all available pages before exploring further. # Provide input on AIUC-1 export const InlineClock = ({city, timeZone}) => { const [time, setTime] = useState('--:--:--'); useEffect(() => { const update = () => setTime(new Intl.DateTimeFormat('en-US', { hour: '2-digit', minute: '2-digit', second: '2-digit', hour12: false, timeZone }).format(new Date())); update(); const id = setInterval(update, 1000); return () => clearInterval(id); }, [timeZone]); return

{city} {time}

; }; Please give us input on AIUC-1: we welcome feedback, ideas, suggestions, and criticism. We adapt AIUC-1 regularly to meet enterprise needs as AI changes.

## Tenets * **Customer-focused.** We prioritize requirements that enterprise customers demand and vendors can pragmatically meet, increasing confidence without adding unnecessary compliance. * **AI-focused.** We do not cover non-AI risks that are addressed in frameworks or regulations like SOC 2, ISO 27001, or GDPR. * **Insurance-enabling.** We prioritize risks that lead to direct harms and financial losses. * **Adapts to regulation.** We update AIUC-1 to make it easier to comply with new regulations. * **Adapts to AI progress.** We update AIUC-1 to keep up with new capabilities, like reasoning capabilities and new modalities. * **Adapts to the threat landscape.** We update AIUC-1 in response to real-world incidents. * **Continuous improvement.** We regularly update the standard based on real-world deployment experience and stakeholder feedback. * **Predictability.** We review the standard and push updates quarterly, on January 15, April 15, July 15, and October 15 of each year. * **Transparency.** We keep a public changelog and share our lessons. * **Backward compatibility.** Existing certifications remain valid during transition periods.

37.782274° N -122.392147° W FIG. A (SITE INDEX)

Artificial Intelligence Underwriting Company

Code Structural unit a. AIUC-1 requirements for agent data, privacy, security, safety, reliability, accountability, and societal risk. b. Evidence templates for technical implementation, legal policy, operational practice, and third-party evaluation. c. Crosswalks to AI regulations, standards, and security frameworks. d. Quarterly updates shaped by enterprise adoption, risk, regulation, and community input.

I. Standard

II. Learn

III. Office