Artificial Intelligence, Cybersecurity, and National Security: The Fierce Urgency of Now
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A RAND report by Richard Danzig warning U.S. national security decisionmakers about the urgent need to address AI's impact on cybersecurity, analyzing government failings and offering policy recommendations relevant to AI safety and governance.
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Summary
Richard Danzig analyzes how AI is transforming cybersecurity threats and vulnerabilities relevant to U.S. national security, identifying current government failings in preparation. The paper offers ten propositions about how AI, other technologies, and human decisions are co-evolving, and makes concrete recommendations for policymakers. It serves as both a policy brief and a broader case study in AI governance challenges.
Key Points
- •U.S. government is currently failing to adequately prepare for AI's impact on cybersecurity and national security missions.
- •The paper identifies specific consequences of these failings and provides actionable recommendations for correction.
- •Ten propositions are derived as a case study relevant to broader AI-technology-human decision co-evolution.
- •AI and cybersecurity are deeply intertwined, requiring urgent and coordinated policy responses from national security decisionmakers.
- •Published by RAND's Technology and Security Policy Center, lending institutional credibility to the policy recommendations.
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Artificial Intelligence, Cybersecurity, and National Security: The Fierce Urgency of Now | RAND
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The Wayback Machine - http://web.archive.org/web/20260411021743/https://www.rand.org/pubs/perspectives/PEA4079-1.html
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PE-A4079-1
Artificial Intelligence, Cybersecurity, and National Security
The Fierce Urgency of Now
Richard Danzig
Expert InsightsPublished Jul 14, 2025
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In this paper, the author warns national security decisionmakers that to accomplish their missions they urgently need to better prepare for the impact of artificial intelligence (AI) on cybersecurity. He analyzes the present failings of the U.S. government in this respect, highlights the consequences of these failings, and makes recommendations for correcting them. He offers this effort as a case study and draws from it ten propositions relevant to those who are more broadly concerned with how AI, other technologies, and human decisions are intertwined and co-evolving.
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Artificial Intelligence
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