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Hybrid (prescriptive, outcome-based, risk-informed) informed by National Institute of Standards and Technology (NIST) standards (if developed); includes nation-state–level protection goals
Simplified Text
Government-enforced AI security standards uses hybrid prescriptive outcome-based risk-informed standards informed by National Institute of Standards and Technology (NIST) standards if developed and includes nation-state–level protection goals
Confidence Score
0.900
Claim Maker
The author
Context Type
Research Brief
Subject Tags
AI Security Regulation
UUID
a11667d4-5c3e-49a7-8e97-eb69eaa2727d
Vector Index
âś— No vector
Created
February 15, 2026 at 5:20 PM (3 months ago)
Last Updated
February 15, 2026 at 5:20 PM (3 months ago)

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Screenshot of https://rand.org/pubs/research_briefs/rba4159-1.html
Four Governance Approaches to Securing Advanced AI
Completed Research
52 claims 🔥
3 months ago
https://rand.org/pubs/research_briefs/rba4159-1.html

RAND researchers identified four governance approaches to strengthen security practices among AI developers: government-enforced standards, developer authorization, industry certification, and self-regulation. The study examines trade-offs between security and innovation, offering insights for policymakers.

Artificial Intelligence AI Security Governance Regulation Policy Compliance Risk Management

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